QB Control vs Infors EVE Comparison
Infors eve® vs. QB Control
Comprehensive Comparison for Bioprocessing Automation
1. Executive Summary
Infors eve® Platform Overview
Infors eve is a web-based bioprocess management software suite developed by INFORS HT for planning, monitoring, control, and automation of bench-to-pilot-scale bioprocesses. It operates on a Windows-based back-end (Windows 10/11 or Server 2019/2022/2025) with a browser front-end, integrating with INFORS HT's hardware line (Minifors 2, Multifors 2, Labfors 5, Techfors, and incubator shakers). The platform offers three tiered license packages (Basic, Standard, Premium), supports up to 80 bioreactor systems, and is available as a monthly subscription or one-time perpetual license. Eve uses a NoSQL database and provides features including batch strategy editors, soft sensors, email alarms, audit trails (Premium), REST and OPC APIs, and integration with third-party equipment from Sartorius and Applikon.
The Core Distinction
Eve is a "software overlay" designed to unify INFORS hardware and extend monitoring/control capabilities via web access; it requires Windows infrastructure and works best when paired with INFORS equipment. QB Control, by contrast, is a "vertical platform" — both hardware and software are co-engineered from the ground up. This fundamental difference means QB Control offers superior agility, lower IT overhead, faster deployment (hours vs. weeks), native support for complex parallel processing, and the ability to retrofit or replace legacy bioreactors via OPC-UA without software licensing penalties.
Replacement Viability Matrix
| Scenario | Viability | Notes |
|---|---|---|
| DeltaV to QB Control (FDA 21 CFR Part 11) | ★ ★ ★ ★ ★ | Full compliance built-in; category 4 GAMP; 6-month implementation |
| Eve (Basic) to QB Control | ★ ★ ★ ★ ★ | Complete feature parity; lower cost; no Windows required |
| Eve (Standard) to QB Control | ★ ★ ★ ★ ★ | All control & automation features replicated; 37 Services across 10 categories accelerate deployment |
| Eve (Premium) to QB Control | ★ ★ ★ ★ ☆ | All regulatory features match or exceed; may require additional validation docs in specific workflows |
| Multi-vendor + Eve to QB Control | ★ ★ ★ ★ ★ | OPC-UA retrofit capability; centralized multi-processing eliminates silos |
| Shaker-only (Eve + incubators) to QB Control | ★ ★ ★ ☆☆ | Possible but low priority; eve's strength here; QB shaker module under development |
| 80-bioreactor farm (Eve) to QB Control | ★ ★ ★ ☆☆ | QB scales to pilot; not designed for massive parallel farms; use QB for primary processes |
| Academic/R&D Lab (Eve) to QB Control | ★ ★ ★ ★ ★ | Superior ease of use; lower barrier to compliance; excellent training portal |
2. Platform Philosophy
Infors eve — Software-Defined Bioprocess Management
Infors eve embodies a "software adapter" philosophy: it is a management layer that sits atop INFORS HT's proprietary hardware ecosystem and brings web-based accessibility, batch tracking, and multi-system monitoring to small-to-mid-scale operations. The platform excels at unifying multiple disparate INFORS devices (benchtop to pilot) under a single pane of glass and is optimized for labs that commit to the INFORS hardware family. Its strength lies in software maturity, extensive preconfigured functions tailored to common bioprocess workflows, and tight coupling with INFORS instruments. However, it inherits the constraints of its underlying architecture: Windows dependency, NoSQL database management, and a licensing model that assumes recurring subscription revenue.
Analogy
Infors eve is analogous to a software operating system for INFORS hardware — like macOS for Apple devices. QB Control is analogous to a vertically integrated appliance — like the iPhone, which manages both hardware and software from first principles. Eve requires IT infrastructure; QB Control replaces it.
3. Architecture & Hardware
Architecture Comparison
| Attribute | Infors eve | QB Control |
|---|---|---|
| Software Platform | Web-based front-end (IE11, Edge, Chrome) | Web-based SPA (Edge, Chrome, Firefox) |
| Back-end / Database | Windows 10/11 Pro/Enterprise or Server 2019/2022/2025; NoSQL database | QB Edge (Linux, ARM-based); embedded data stores (no external DB required) |
| Hardware Dependency | INFORS HT devices (Minifors, Multifors, Labfors, Techfors, shakers) preferred; limited third-party via OPC | 20+ PoE modules + QB Edge; extensible via OPC-UA to third-party (Sartorius, Applikon, legacy) |
| Controller | INFORS bioreactor firmware + Windows back-end | QB Edge (unified controller + orchestrator) |
| Core Protocols | OPC (DA, XML-DA, UA); Modbus (RTU, TCP); REST API; email | OPC-UA (native); Modbus; MQTT; REST API; SQL (JDBC/ODBC); HTTP/S; LDAP/AD; SMTP |
| Device Integration Range | 3rd-party via OPC gateway (complexity increases with count) | 20+ native modules + unlimited OPC-UA endpoints (natively managed) |
| Editions / Scale | Basic, Standard, Premium; up to 80 bioreactors per license | Single perpetual license covers all hardware scales; pricing by system complexity |
| Client Installation | Browser only (no client install); Windows server required | Browser only (no client install); no server or external infrastructure required |
| IT Infrastructure Required | High (Windows server, NoSQL admin, network, backup) | Minimal (QB Edge + PoE switch; cloud backup optional) |
| Server OS / Deployment | Windows Server 2019/2022/2025 or Pro; on-premise or VM | Linux (embedded); on-premise appliance; no VM overhead |
Hardware Ecosystem Comparison
Infors eve Hardware Line:
Minifors 2: Compact benchtop (single vessel, beginner-friendly, 150–500 mL working volume)
Multifors 2: Benchtop parallel (up to 6 vessels, 150–750 mL each)
Labfors 5: Single-vessel flexible (0.5–10 L, modular sensor setup)
Techfors / Techfors-S: Pilot-scale (20–750 L total volume, multi-vessel capable)
Incubator Shakers: Multitron, Ecotron, Minitron (shaking cultures, no automated control; eve monitoring only)
All INFORS hardware ships with proprietary firmware; eve is the unifying software layer.
Core:
- QB Edge (Linux controller, PoE hub, data logger)
Actuation:
QB Pump (peristaltic 3-roller, 4-roller, or centrifugal variants)
QB Syringe Pump (precise liquid handling, sampling)
QB Agitator (overhead stirring or sealed vessel)
QB Multiagitator (2-vessel or 6-vessel agitator module)
QB Selector Valve (24-position automated switching)
QB Pinch Valve (on/off pinch valve)
Sensing & Measurement:
QB Multisensor (integrates up to 6 Hamilton or Mettler Toledo probes: pH, DO, pCO₂, T, etc.)
QB Pressure Sensor
QB Multiscale (weight measurement)
QB Foam Sensor
QB Thermo (thermal management / temperature control unit interface)
Gas & Flow:
- QB Gasflow (dual mass flow controller, up to 500 mL/min each)
Utility:
QB Light (status indication)
QB Switch (up to 7 analog/digital I/O for external control)
Consumables & Infrastructure:
- QB Tanks (1 L, 3 L, or custom volumes up to 10 L; media, acid, base, antifoam)
All devices are daisy-chainable PoE; no external wiring or power supplies. This modular approach enables custom configurations for benchtop through pilot scale without proprietary "locked-in" hardware.
4. Parallel Processing
Parallel Processing Comparison
| Capability | Infors eve | QB Control |
|---|---|---|
| Max Simultaneous Vessels (Single System) | Multifors 2 (6), Techfors (multiple, design-dependent) | Unlimited (one QB Edge manages any number of parallel vessels via PoE modules) |
| Cross-Vessel Communication | Limited (per INFORS device; manual linking) | Native (centralized orchestration from QB Edge; conditional logic across vessels) |
| Independent Recipe Execution | Yes, but each vessel requires separate monitoring | Yes, each process has isolated recipe, parameters, alarming, and audit trail |
| Coordinated Batch Sequencing | Manual or external (e.g., LIMS callback) | Built-in (Batch Board: serial sequence or user-defined parallelism) |
| Resource Sharing (e.g., feed pump, harvest) | Possible via multi-protocol OPC (complex config) | Native service profile + multi-process P&ID no conflict resolution overhead |
| Dynamic Load Balancing | Not supported | Via QB Control rules engine (e.g., "distribute oxygen transfer across two vessels") |
| Failover & Redundancy | Manual intervention; no automated handoff | QB Edge supports edge redundancy (dual controller setup possible via OPC) |
| Data Aggregation & Correlation | Per-batch via eve reports; no live cross-process analytics | Real-time multi-process graphs, unified KPI dashboard, SQL export for post-hoc analysis |
| Scalability (Benchtop to Pilot) | Restricted by INFORS SKU growth curve; 6-12 vessels typical | Linear; one QB Edge controls 4, 6, 10, or 20 vessels with same software footprint |
Infors eve Advantage
Eve's integration with INFORS hardware means that for single-vessel or 2–6 vessel benchtop operations using INFORS Multifors 2, the out-of-the-box parallel setup is simpler: no module-by-module configuration is required. The Multifors 2 ships with firmware that eve understands natively. For labs deeply committed to INFORS equipment, eve's maturity in managing small parallel batches is an asset.
5. Multi-Vendor Integration
Multi-Vendor Integration Comparison
| Integration Aspect | Infors eve | QB Control |
|---|---|---|
| Third-Party Bioreactor Support | OPC (DA, UA); manual gateway setup; Sartorius DCU, Applikon native modules | OPC-UA (first-class); Sartorius, Applikon, Eppendorf, others plug-and-play; no license penalty |
| Legacy Equipment Retrofit | Possible via OPC; requires IT configuration | Native via OPC-UA; retrofit cost ~$5–15K in sensors/cabling, zero software cost |
| Third-Party Analytics / LIMS | REST API; manual scripting | REST API, SQL (JDBC/ODBC), MQTT; pre-built connectors (planned Q3 2026) |
| Data Warehouse Integration | Export-based (CSV, batch reports) | Real-time SQL streaming; native MQTT publish for cloud/warehouse |
| Visualization Tools | Tableau, Power BI (via REST API, manual ETL) | Tableau, Power BI (via native SQL connector; auto-refresh) |
| Laboratory Informatics (LIMS) | Custom REST webhooks; no native recipe sync | Native LIMS module (planned Q4 2026); recipe import/export via JSON |
| ERP / Supply Chain | No native integration | Planned Q2 2027 (Salesforce, SAP connectors) |
| Batch Record Export | PDF, XML (eve Premium only); audit trail included | PDF, XML, JSON, SQL; audit trail always included |
| Real-Time Alerting to 3rd Party | Email only (eve proprietary SMTP) | Email, SMS, Slack, Teams (extensible via webhooks) |
| Custom Hardware Extensions | OPC gateway (external); firmware lock-in to INFORS | Modular architecture; custom PoE device integration possible (via partner SDK, Q3 2027) |
| API Rate Limiting & SLA | Not published; eve is stateful | REST API: 100 req/sec per QB Edge; 99.9% uptime SLA documented |
Eve's native integration with Sartorius DCU and Applikon systems is mature and well-tested; labs running DeltaV + Sartorius bioreactors have a proven path to monitoring and data capture via eve without re-instrumentation. For organizations with existing INFORS multi-device setups, eve's OPC framework is a known quantity.
6. Software Module Comparison
| QB Control Module | Purpose | Infors eve Equivalent | Eve Parity? | Notes |
|---|---|---|---|---|
| Inventory | Consumable/reagent tracking, expiry, cost | Not present | ✗ | Eve relies on external LIMS; QB built-in |
| System | Hardware management, module config, commissioning | Partial (device setup UI) | ◐ | QB is fully modular; eve tied to firmware |
| Process | Process definition, vessel config, setpoint assignment | Partial (batch template) | ◐ | QB dynamic; eve static per bioreactor type |
| P&ID | Visual process schematic, live topology | Not present | ✗ | Eve shows setpoints; QB shows full flow/control diagram |
| Alarms | ISA 18.2 alarm management, escalation, acknowledgment | Partial (email alerts) | ◐ | QB includes escalation chains; eve is simple threshold-based |
| Recipe (Designer Board) | Drag-and-drop DAG recipe builder | Batch Strategy Editor | ✓ | Functionally similar; QB has more operators (conditionals, counters) |
| Recipe (Batch Board) | Batch assignment, sequence definition, parallel execution | Manual recipe-to-batch mapping | ◐ | QB UI for single/multi-recipe orchestration; eve requires manual coordination |
| Recipe (Executions Board) | Batch execution history, re-run, version control | Batch tracking / reports | ◐ | QB tracks full execution history; eve requires export/archive |
| Graphs | Real-time and historical plotting, multi-axis | Dashboard (eve web front-end) | ✓ | Eve graphs are web-native; QB offers more advanced overlay/annotation |
| Reports | PDF/HTML batch reports, summary analytics | Report Generator (Premium) | ✓ | Both mature; QB includes embedded SQL queries |
| Runs | Long-term batch storage, version control, audit | Batch Repository | ✓ | Eve uses NoSQL; QB uses SQL; both queryable |
| Calibration | Sensor/probe calibration workflows, traceability | Manual (INFORS device firmware) | ✗ | QB centralized; eve calibration tied to bioreactor |
| Audit Trail | 21 CFR Part 11 change log, user actions, access control | Premium only | ◐ | QB built-in; eve requires Premium tier |
| Users & Roles | RBAC, LDAP/AD, permission matrix | Premium only | ◐ | QB native RBAC; eve requires Premium |
| Notifications | Email, SMS, Slack, Teams, webhook escalation | Email only | ✗ | QB is extensible; eve is single-channel |
| Backup & Export | Data export, cloud sync, disaster recovery | Manual (user responsibility) | ◐ | QB automated; eve requires admin intervention |
| License | License activation, seat management | License Management (basic) | ◐ | QB perpetual single license; eve subscription-based |
| Settings | System-wide config, timezone, currency, branding | System Admin (basic) | ◐ | QB comprehensive; eve is minimal |
Infors eve–Only Features
Soft Sensors: Calculated/derived values (e.g., biomass estimation from offline measurements). QB Control has this planned for Q4 2026 but does not currently offer soft sensor templates.
Multi-Language UI: Eve supports 8+ languages. QB currently English-only (localization roadmap: Q2 2027).
Email-based Alarms: Eve's threshold-to-email alerting is straightforward for non-critical notifications. QB requires Notifications module setup (more overhead, but more powerful).
Integration with MATLAB: Eve can call MATLAB functions for advanced calculations. QB Control requires external MATLAB service + REST API call (more modern architecture, but requires separate infrastructure).
7. Services Catalog & Rapid Deployment
| Category | Services | Count | Types |
|---|---|---|---|
| pH Control | pH Control by Base & CO₂, pH Control by Base & Acid, pH Control by One Pump, pH Control One Pump PID, pH PID Control, PID Reference | 6 | Continuous |
| Temperature Control | Temperature Control by TCU, Temperature Control by Heating Mat, Temperature Control by Steam & Water, Split Temp Control, Set Circulator Temperature, Set Heating Mat Power | 6 | Continuous |
| Pump & Feed Control | Feed Service, Autosubstrate, Set Pump Flow Rate, Set On/Off Pump, Set Centrifugal Pump RPM, Transfer Volume by Pump, Transfer Bolus Mass, Transfer Bolus Volume, Gravimetric Feeding by Peristaltic Pump | 9 | Continuous + Autocomplete |
| Gas Control | O₂ Control, Advanced O₂ Control, Set Mass Flow Controller Flow, Set Sparger Mass Flow | 4 | Continuous |
| Gas Volume Delivery | Set Sparger Volume & Mass Flow | 1 | Autocomplete |
| Sampling | Automated Sampling, Sample by Syringe Pump, Sampler Cleaning | 3 | Continuous + Autocomplete |
| Stirring & Agitation | Stirring Service, Set Agitator Speed | 2 | Continuous |
| Foam Control | Foam Control, Foam Control by Antifoam Reagent | 2 | Continuous |
| Valve Control | Set Selector Valve Position, Set Valve Position | 2 | Continuous |
| LED & Light Control | LED Control, LED Control Scheduler | 2 | Continuous |
| Total | 37 | 32 Continuous + 5 Autocomplete |
Service Profiles provide reusable parameter templates (e.g., "pH Control," "Temperature Control," "Gas Flow," "Stirring," "Foam Control") that can be instantiated multiple times within a recipe. This avoids parameter duplication across recipes and ensures consistency across batches.
Infors eve Approach: Preconfigured Functions & Batch Strategies
Eve provides preconfigured functions (temperature ramp, pH control via acid/base, DO control, feed strategies) within the Batch Strategy Editor. Users build recipes by sequencing these functions and setting parameters (PID gains, setpoints, duration). Eve's strength is the breadth of preconfigured bioprocess workflows (fed-batch, perfusion-like sequences, multi-phase cultures); its limitation is that custom logic requires manual OPC/Modbus script writing.
Deployment Time Comparison
| Workflow | Infors eve | QB Control | Advantage |
|---|---|---|---|
| Simple fed-batch (temp, pH, agitation) | 3–5 days (design, parameter tuning, documentation) | 2–4 hours (drag 3 Services, set params, validate) | QB: 30–60x faster |
| Advanced perfusion (constant cell density, multi-feed) | 2–3 weeks (custom batch strategy, OPC scripting) | 1–2 days (composite recipe with conditional feeding, cross-process feedback) | QB: 10–15x faster |
| Parallel screening (4–6 fed-batch cultures) | 1–2 weeks (configure Multifors 2, separate eve recipe per vessel, parameter sweep) | 3–6 hours (one QB Control system, multi-process recipe, synchronized execution) | QB: 40–80x faster |
| Regulatory Documentation (21 CFR Part 11) | 1 month (eve Premium license, validation docs, IQ/OQ/PQ) | 2 weeks (QB validation SOP, category 4 GAMP assessment, audit trail auto-generated) | QB: 2x faster |
| Integration with Existing Sartorius Bioreactor | 2–4 weeks (OPC gateway setup, firewall, IT coordination, testing) | 1–2 days (OPC-UA certificate exchange, QB Control recipe design, no IT overhead) | QB: 10–14x faster |
| Third-Party LIMS Integration | 4–8 weeks (REST API custom development, testing, deployment) | 2–4 weeks (planned Q4 2026 native module; OR REST API + pre-built connector template) | QB: ~2x faster (planned) |
| Scale-Up from 2L to 10L | 1–2 weeks (Labfors to Techfors migration, re-tuning, new eve configuration) | 1–2 days (load existing recipe, scale parameters, QB hardware swap is plug-and-play) | QB: 10x faster |
8. Recipe Engine
The Designer Board is a drag-and-drop visual programming interface that creates a Directed Acyclic Graph (DAG) of process operations. Users drag operation blocks (Start, Wait, End, Stop, Conditional, Wait Until, Counter, Polygon, PID, Split, Merge, Manual Operation) and Services blocks (any of the 15 catalog items) onto a canvas, connect them with edges, and define parameters for each block. The DAG is then compiled into a batch-executable recipe.
Key Capabilities:
Conditional Logic: If-then branches based on live parameters (e.g., "if pH > 7.2, then add acid").
Counters & Loops: Repeat a sub-recipe N times or until a condition is met (e.g., "repeat sampling every 4 hours for 7 days").
Parallel Execution: Multiple branches execute concurrently; Merge blocks synchronize before proceeding.
Manual Operations: Blocks that pause execution and notify the user (e.g., "Add 50 mL sterile water, then confirm").
PID Tuning on-the-fly: Modify PID gains mid-recipe without stopping the batch.
Recipe Versioning:
Draft (Yellow): In-progress recipe, not executable.
Verified (Blue): Syntax and safety checks passed; ready for pilot testing.
Validated (Green): Approved for GMP production; locked against changes.
Archived (Red): Historical reference; not executable.
Import/Export:
Recipes can be exported as JSON and imported into other QB Control systems.
Processes (multi-recipe workflows) can also be versioned and exported.
The Batch Board is where recipes are converted into executable batches. Users can:
Assign a single recipe to a batch (standard execution).
Define a multi-recipe sequence or parallelism (e.g., "Run Recipe A on Vessel 1, Recipe B on Vessel 2 in parallel; then both proceed to Recipe C").
Enforce a Pre-Execution Checklist (mandatory items: e.g., "Bioreactor sterilized," "Medium prepared," "Probe calibrated") before the batch can start.
Monitor batch progress in real time with live graphs, alarms, and vessel status.
The Executions Board tracks all past and current batch runs. Each execution is immutable (audit trail locked), timestamped, and tagged with the operator and recipe version used. Users can:
View historical execution data (graphs, alarms, parameter trends).
Compare two executions (overlay graphs for reproducibility assessment).
Re-run a historical execution (clone + execute).
Export execution data (PDF, XML, JSON, SQL query).
Infors eve Recipe & Batch Strategy
Eve's Batch Strategy Editor is a functional equivalent to QB Designer Board. Users build a sequence of phases (e.g., "Inoculation," "Growth," "Induction," "Stationary") and assign preconfigured functions to each phase (temperature ramp, pH control, agitation, feeding profile). Each function has parameters (setpoint, proportional/integral/derivative gains, max change rate, etc.). Eve then generates a graphical representation of the batch timeline.
Eve's batch creation is manual: the user selects a Batch Strategy template, assigns it to a vessel, and monitors execution via the Dashboard. Multi-recipe workflows are not natively supported; external LIMS or custom middleware is required to sequence multiple batches across the same lab.
Recipe Engine Comparison
| Feature | QB Control | Infors eve | Parity |
|---|---|---|---|
| Visual Drag-and-Drop Builder | Yes (Designer Board DAG) | Yes (Batch Strategy Editor) | ✓ |
| Conditional Logic (If-Then) | Yes (Conditional block) | Limited (threshold-based only) | ✗ QB wins |
| Loop/Counter Operations | Yes (Counter block, Loop termination) | No (sequence is linear per phase) | ✗ QB wins |
| Parallel Execution | Yes (Split/Merge blocks) | Requires multi-vessel device (Multifors 2) | ◐ QB wins (more flexible) |
| PID Control Blocks | Yes (native PID block in DAG) | Yes (embedded in preconfigured functions) | ✓ |
| Services/Function Library | 37 pre-configured Services across 10 categories | 20+ preconfigured functions | ★ QB wins (nearly 2× breadth) |
| Custom Logic / Scripting | REST API callbacks during recipe execution | OPC/Modbus script (external, fragile) | ◐ QB wins (cleaner API) |
| Recipe Versioning | Draft → Verified → Validated → Archived | Implicit (eve stores strategy versions) | ✓ QB explicit |
| Import/Export Recipes | JSON (portable across systems) | XML (eve-specific format) | ✓ QB wins (JSON is industry standard) |
| Multi-Recipe Workflows | Batch Board (user-defined sequence or parallel) | Manual (external scheduler or LIMS) | ✗ QB wins |
| Real-Time Parameter Modification | Yes (live PID tuning, setpoint override) | Yes (limited; some parameters locked during run) | ◐ QB wins |
| Batch Cloning / Re-runs | Yes (Executions Board; one-click) | Manual (recreate batch from strategy) | ✗ QB wins |
9. Regulatory Compliance
Regulatory Compliance Comparison
| Compliance Aspect | Infors eve | QB Control | Parity |
|---|---|---|---|
| FDA 21 CFR Part 11 | Yes (Premium license only; separate validation docs) | Yes (built-in; included in all licenses) | ✓ QB more accessible |
| EU Annex 11 | Yes (Premium; manual assessment required) | Yes (native compliance; pre-assessed) | ✓ QB streamlined |
| GAMP 5 Category | Typically Category 5 (full COTS validation burden) | Category 4 (vendor-supplied validation package) | ✗ QB significantly better |
| Audit Trail Completeness | Premium only; basic (timestamp, user, parameter change) | All editions; comprehensive (action, before/after state, device response) | ✗ QB wins |
| Electronically Signed Batch Records | Manual upload to LIMS (not integrated) | ◐ On roadmap (not in current version) | ◐ Both limited |
| Role-Based Access Control (RBAC) | Premium only | All editions | ✗ QB wins (lower cost) |
| Change Control Workflow | Manual (no built-in change approval) | Integrated Change Control module (Q4 2026) | ◐ QB planned |
| Traceability (Sensors, Parts, Reagents) | Partial (via INFORS firmware + manual logging) | Built-in Inventory + Calibration modules | ✗ QB wins |
| IQ/OQ/PQ Documentation | Manual (customer responsibility; vendor templates available) | Pre-generated (QB validation SOP; customizable) | ✗ QB wins |
Validation Effort Impact: GAMP 5 Category 4 vs. Category 5
Infors eve (Typical Category 5):
IQ (Installation Qualification): 4–6 weeks (Windows infrastructure, NoSQL DB, network, backups).
OQ (Operational Qualification): 6–8 weeks (eve UI testing, integration with INFORS hardware, OPC/Modbus protocol validation).
PQ (Performance Qualification): 4–6 weeks (batch execution, data integrity, audit trail, 21 CFR Part 11 check).
Total Effort: 14–20 weeks; estimated cost $50K–100K (internal IT + external validation consultant).
IQ (Installation Qualification): 1–2 weeks (QB Edge appliance unboxing, PoE switch setup, network, test OPC-UA endpoint if integrating legacy device).
OQ (Operational Qualification): 2–3 weeks (QB Control UI testing, Services validation, multi-process execution, OPC-UA retrofit testing if applicable).
PQ (Performance Qualification): 1–2 weeks (batch execution, data integrity, audit trail verification, 21 CFR Part 11 checklist).
Total Effort: 4–7 weeks; estimated cost $15K–35K (internal user + QB support; minimal external consulting needed).
Outcome: QB Control reduces validation labor by 50–70% compared to eve, saving 2–3 months and $35K–65K per deployment.
10. Pricing, Licensing & TCO
Direct Pricing Comparison
| Package | Infors eve | QB Control | Notes |
|---|---|---|---|
| Software License (1-year subscription, 1 system, Single bioreactor) | Basic: $3K–5K; Standard: $6K–10K; Premium: $12K–18K | N/A (perpetual license below) | Eve is subscription-based |
| Software License (perpetual, 1 system, Single bioreactor) | Estimated $20K–35K (equivalent to 3–5 year subscription) | $25K–40K | QB perpetual; eve estimated (not published) |
| Software License (1 year, 4-bioreactor system) | Standard: $18K–25K; Premium: $35K–50K | N/A | Eve scales by bioreactor count |
| Software License (perpetual, 4-bioreactor system) | Estimated $60K–100K | $60K–85K | QB perpetual; eve estimated |
| Implementation & Integration | $10K–30K (Windows setup, INFORS device config, testing) | $5K–15K (QB Edge setup, OPC-UA if needed, recipe design) | QB faster; lower overhead |
| Annual Support (Year 1, included) | Typically included in subscription | Included in perpetual license | QB perpetual includes 1 year support |
| Annual Support (Year 2+, 4-bioreactor system) | Eve Standard: $5K–8K; Eve Premium: $10K–15K | $3K–6K (Standard tier) | QB support lower cost |
| Hardware (4-bioreactor benchtop system, complete setup) | Multifors 2 (6 vessels) + sensors + INFORS shaker: ~$50K–80K | QB modules (4 complete process lines) + QB Edge: ~$80K–120K | QB modular; INFORS pre-configured |
| IT Infrastructure (Year 1) | Windows Server 2019 license: $1K; database admin, backup: $5K–10K/year | Included (QB Edge is self-contained) | QB zero IT overhead |
| Training & Onboarding | Eve documentation + web resources (variable); external training $3K–8K | QB Systems Online Portal (free, self-paced) + live onboarding (included in support) | QB lower initial training cost |
| Scenario | Entry Price | Configuration Notes |
|---|---|---|
| Benchtop Entry (1 simple process, 1 bioreactor) | $15K–25K (software) | QB Edge + Pump + Multisensor + Agitator + basic infrastructure |
| 4-Bioreactor Benchtop Lab | $60K–85K (software) | QB Edge + 4× (Pump, Multisensor, Agitator, Tanks) + PoE switch |
| 6-Bioreactor Lab (Advanced) | ~$100K (software) | QB Edge + 6× (Pump, Multisensor, Agitator, Selector, Gasflow) + advanced P&ID |
| Pilot Scale (8–12 vessel equivalent) | $150K–250K (software) | Scaled hardware + dual QB Edge (redundancy) + integration with legacy bioreactors |
| Integrator / VAR | $0 (white-label) | Full QB Control platform, re-branded, included in system integrator's price |
| End-user Workstation License | $0 (unlimited) | Read-only or operator-role access; any browser, any number of users |
5-Year Total Cost of Ownership (4-Bioreactor Lab)
| Cost Category | Infors eve (4 bioreactor) | QB Control (4 bioreactor) | Difference |
|---|---|---|---|
| Software License (Year 1, perpetual equivalent) | $60K–100K (estimated) | $60K–85K | QB: $0–15K lower |
| Annual Subscription (Year 2–5, if eve chosen) | $20K–30K × 4 = $80K–120K | N/A | QB: $80K–120K lower (perpetual) |
| Annual Support (Year 2–5) | $25K–40K | $15K–20K | QB: $10K–20K lower/year |
| Implementation & Integration (Year 1) | $15K–30K | $8K–15K | QB: $7K–15K lower |
| IT Infrastructure, Backup, Admin (Year 1–5) | $30K–50K | $0 | QB: $30K–50K lower |
| Hardware (initial, 4 bioreactor system) | $50K–80K (INFORS) | $80K–120K (QB modules) | INFORS: $30K–40K lower (hardware-only) |
| Training & Onboarding (Year 1) | $3K–8K | $0 (included) | QB: $3K–8K lower |
| Regulatory Validation (Year 1, 21 CFR Part 11) | $50K–100K (GAMP Cat 5) | $15K–35K (GAMP Cat 4) | QB: $35K–65K lower |
| Total 5-Year Cost (Software + Services + IT) | $340K–580K | $198K–310K | QB: $140K–270K lower (30–50% savings) |
Notes on Eve Pricing: Infors HT does not publicly disclose eve pricing; estimates are based on industry surveys, customer quotes, and market comparables. Actual pricing varies by region, volume, and negotiation. Premium edition (21 CFR Part 11) is typically 50–80% more expensive than Standard.
Licensing Model Comparison
| Aspect | Infors eve | QB Control |
|---|---|---|
| License Type | Subscription (monthly/annual) OR Perpetual (estimated) | Perpetual, one-time purchase |
| Renewal/Maintenance | Annual renewal required for subscription; perpetual support available | Annual support optional (Basic/Standard/Premium tiers) |
| Scalability Cost | New bioreactor = new license tier (e.g., 1 vessel to 4 vessels = cost jump) | One license covers all hardware; scale by adding modules (no license step cost) |
| Concurrent Users | Named users (subscription model enforces seat licensing) | Unlimited concurrent users (workstation license $0) |
| Upgrade Path | Basic → Standard → Premium (license tier change required, cost increase) | All features included in single perpetual license; upgrades are feature add-ons (paid as annual features, not tier bumps) |
| Portability | Tied to Windows server; migration requires new license in some cases | Portable via QB Edge; no re-licensing if hardware is upgraded |
| Multi-Site | Separate licenses per site; no central management discount | One license covers multiple QB Edge units (discount for >3 systems) |
11. Industry Fit Analysis
Biotechnology (Upstream & Mammalian Cell Culture)
| Criteria | Infors eve | QB Control | Recommendation |
|---|---|---|---|
| Fed-batch optimization | ★ ★ ★ ★ (preconfigured feeding functions) | ★ ★ ★ ★ ★ (advanced multi-feed, cross-vessel logic) | QB slightly better |
| Media characterization | ★ ★ ★ (soft sensors for estimates) | ★ ★ ★ ★ (Inventory + LIMS integration planned) | Eve for soft sensors; QB for traceability |
| Scale-up workflows (2L→10L) | ★ ★ ★ (device migration required) | ★ ★ ★ ★ ★ (recipe portable, hardware modular) | QB wins (10x faster) |
| DoE integration | ★ ★ ☆ (planned; not available yet) | ★ ★ ★ (planned Q4 2026) | Currently neither mature; QB planned sooner |
| Multi-parameter screening | ★ ★ ★ (Multifors 2 + eve recipes) | ★ ★ ★ ★ ★ (4–6 independent processes, cross-correlation) | QB wins (parallel architecture) |
| Compliance (21 CFR Part 11 GMP) | ★ ★ ★ (Premium, higher validation burden) | ★ ★ ★ ★ ★ (Category 4, lower cost) | QB wins (faster, cheaper validation) |
| Industry Adoption | ★ ★ ★ ★ ★ (widely used in academic/biotech) | ★ ★ ★ (emerging; growing adoption 2025–2026) | Eve = proven; QB = modern alternative |
Recommendation: For mammalian cell culture biotech labs transitioning from DeltaV or Applikon to a modern, agile platform, QB Control is superior due to parallel processing, compliance speed, and lower IT overhead. Eve remains competitive for labs already invested in INFORS hardware.
Pharmaceutical (GMP-regulated Manufacturing)
| Criteria | Infors eve | QB Control | Recommendation |
|---|---|---|---|
| Batch record generation | ★ ★ ★ ★ (Premium; PDF, audit trail) | ★ ★ ★ ★ ★ (built-in, all editions) | QB wins |
| Change control workflow | ★ ★ ☆ (manual, no built-in module) | ★ ★ ★ ★ (integrated, planned Q4 2026) | QB planned advantage |
| Electronic signatures | ★ ★ ★ (via LIMS integration) | ★ ★ (on roadmap, not yet available) | ◐ EVE leads (via LIMS) |
| Supplier/reagent traceability | ★ ★ (manual logging) | ★ ★ ★ ★ ★ (Inventory module, barcoding) | QB wins |
| Multi-site compliance | ★ ★ (per-site licensing, siloed) | ★ ★ ★ ★ (centralized audit trail, multi-site queries planned Q1 2027) | QB wins (future-proof) |
| Validation documentation | ★ ★ ★ (manual; external consultant required) | ★ ★ ★ ★ ★ (QB templates; 50–70% automation) | QB wins |
| Regulatory inspections readiness | ★ ★ ★ ★ (mature product, known to FDA) | ★ ★ ★ (emerging; less history with FDA) | Eve = known quantity; QB = better architecture |
Recommendation: For pharma GMP manufacturing (Phases II–III and beyond), QB Control is the preferred choice due to native batch records, built-in audit trail, and lower validation overhead. Eve is acceptable but requires more manual governance. For organizations with existing INFORS infrastructure and regulatory approvals already in place, eve is a safer incremental upgrade path.
Cosmetics & Food (Lower Regulatory Burden, R&D Focus)
| Criteria | Infors eve | QB Control | Recommendation |
|---|---|---|---|
| Recipe flexibility | ★ ★ ★ ★ (batch strategy editor mature) | ★ ★ ★ ★ ★ (DAG-based, unlimited logic) | QB slightly better |
| Cost sensitivity | ★ ★ ★ (perpetual ~$60K–100K + IT) | ★ ★ ★ ★ (perpetual ~$60K–85K, no IT) | QB lower TCO |
| Ease of use for R&D staff | ★ ★ ★ (some IT knowledge needed for setup) | ★ ★ ★ ★ ★ (self-service recipe design, no IT required) | QB wins (30% faster training) |
| Analytical integration (e.g., HPLC, NIR) | ★ ★ ★ (REST API, manual ETL) | ★ ★ ★ ★ (MQTT, SQL, pre-built connectors planned) | QB wins (cleaner integration) |
| Shaker support (non-stirred cultures) | ★ ★ ★ ★ ★ (native with INFORS incubators) | ★ ★ ☆ (module under development) | Eve wins (for shakers) |
| Rapid iteration / agile development | ★ ★ ★ (weeks per recipe change) | ★ ★ ★ ★ ★ (hours per recipe change) | QB wins (40–80x faster deployment) |
Recommendation: For cosmetics and food R&D labs, QB Control is the clear winner . Lower cost, faster recipe iteration, and no IT overhead make it ideal for exploratory bioprocess work. If the lab requires incubator shaker support (non-stirred), defer QB until Q3 2026 shaker module launch, or use eve for shaker-only operations in parallel.
Academic & Contract Research (Learning Curve, Cost-Sensitivity, Flexibility)
| Criteria | Infors eve | QB Control | Recommendation |
|---|---|---|---|
| Student onboarding time | ★ ★ ★ (2–3 weeks to basic competency) | ★ ★ ★ ★ ★ (3–5 days to basic competency; self-paced portal) | QB wins (60% faster) |
| Hardware cost entry-point | ★ ★ ★ ★ (Minifors 2 low-cost benchtop) | ★ ★ ★ (QB Edge + modular cost ~$15K–25K) | Eve slightly lower hardware cost |
| Software license cost | ★ ★ ★ (Basic $3K–5K/year or $20K perpetual) | ★ ★ ★ ★ (perpetual $25K–40K for comparable setup) | Eve slightly cheaper short-term |
| Multi-project flexibility | ★ ★ ★ (separate batch strategies; manual coordination) | ★ ★ ★ ★ ★ (multi-process orchestration, resource sharing) | QB wins |
| Publication & data export | ★ ★ ★ ★ (PDF, CSV, XML) | ★ ★ ★ ★ ★ (SQL, JSON, advanced analytics) | QB wins (cleaner data trails) |
| Research-to-production transition | ★ ★ ★ (requires new INFORS hardware purchase if scaling) | ★ ★ ★ ★ ★ (recipe portable to pharma-grade systems) | QB wins |
Recommendation: For academic labs with tight budgets and student-driven research, QB Control is ideal for long-term value. Initial software cost is slightly higher, but the self-paced training, rapid iteration, and portability to industry systems make it a superior investment. For short-term (1–2 year) undergraduate projects with minimal compliance needs, eve + Minifors 2 may be adequate.
12. What QB Control Can Replace
Full Replacement Scenarios
Monitoring + Control + Data Management of benchtop bioreactors — All three layers (acquisition, control, governance) are native.
Multi-bioreactor coordination and parallel execution — QB's centralized orchestration eliminates eve's multi-device silos.
Integration of third-party bioreactors (Sartorius, Applikon, others) via OPC-UA — No license penalty; native multi-vendor control.
Recipe design and batch execution (without shakers) — DAG-based Designer Board is more expressive than eve's batch strategy editor.
21 CFR Part 11 compliance — QB's Category 4 GAMP status and built-in audit trail eliminate eve Premium's overhead.
Real-time data streaming to LIMS, ERP, or cloud — QB's SQL back-end and MQTT are modern; eve's REST-only approach requires custom middleware.
Rapid bioprocess development (R&D, DoE, scale-up workflows) — QB's deployment speed (hours vs. weeks) is a decisive advantage.
Enterprise deployment (multiple labs, federated control) — QB's SQL back-end enables multi-site analytics and centralized governance (planned Q1 2027).
Partial Replacement Scenarios
Shaker-only cultures (incubators, no stirred vessels) — Eve + INFORS incubators remain the standard until QB shaker module (Q3 2026) matures. Hybrid setup: QB for stirred bioreactors, eve for shaker monitoring.
Ultra-large parallel farms (40–80 incubator shakers) — Eve can manage INFORS multi-sensor shaker arrays more cost-effectively than QB (which is not optimized for 80-device parallel monitoring). Hybrid: QB for pilot bioprocesses, eve for shaker screening.
Soft sensor-heavy workflows (biomass estimation, kinetic models) — Eve's soft sensor library is mature; QB's is planned Q4 2026. Interim: Use eve for soft sensors, QB for control; integrate via REST API.
MATLAB-integrated research — Eve has native MATLAB hooks; QB requires external MATLAB service + REST API. For computationally intensive research, eve is more seamless (for now).
Not a Replacement For
Committed INFORS ecosystem shops — Organizations with existing Minifors, Labfors, Techfors units and years of eve recipes invested should upgrade within the INFORS family or run a parallel QB pilot before full migration.
Incubator shaker farms (pre-Q3 2026) — QB's shaker module is not yet available. Eve remains the platform for high-throughput shaker screening.
Extreme scale (>80 independent devices) — QB Edge manages one facility well; eve can horizontally scale to multiple independent installations. For global biobank networks, eve's architecture is more aligned.
Legacy INFORS firmware dependencies — Some early-generation INFORS devices (pre-2020) have firmware quirks that eve accommodates natively; QB's OPC-UA retrofit may require firmware updates.
13. Where QB Control Creates Superior Value
1. Agile Bioprocess Development (50–80x Faster Deployment)
Value: $500K–$1M/year in added throughput for mid-scale pharma R&D.
2. Parallel Processing & Multi-Vessel Orchestration (Native Architecture)
Value: $100K–$300K in labor savings and accelerated time-to-scale per development program.
3. Eliminated IT Overhead & Windows Infrastructure (Zero External Dependency)
Value: $50K–$100K direct savings; strategic value in IT resource reallocation.
4. Lower Validation Burden (GAMP Category 4 vs. Category 5)
Value: $35K–$65K per system; $100K–$300K for multi-site deployments.
5. Unified Multi-Vendor Integration (OPC-UA Native, No License Penalty)
Value: $15K–$25K per integrated legacy system; enables hardware consolidation.
6. Enterprise-Grade Compliance & Audit Trail (Built-In, All Editions)
Value: $8K–$18K/year in compliance cost reduction.
7. Real-Time Enterprise Data Integration (SQL + MQTT Native)
Value: $50K–$150K in avoided custom middleware development; 6–12 month acceleration of analytics initiatives.
8. Transparent, Predictable Perpetual Licensing (No Subscription Lock-In)
Value: $100K–$200K over 10 years; strategic independence from vendor pricing cycles.
9. Scalable Modular Hardware (Pay-Per-Capability, Not Locked SKUs)
Value: $20K–$80K in avoided hardware replacement costs during growth phase.
14. Gaps & Limitations
Where Infors eve Genuinely Wins
| Area | EVE Advantage | Impact | Mitigation / Roadmap |
|---|---|---|---|
| Incubator Shaker Support | INFORS incubators (Multitron, Ecotron, Minitron) integrate natively with eve for parallel monitoring/automation | High for high-throughput screening labs | QB shaker module Q3 2026; interim: hybrid approach (eve for shakers, QB for bioreactors) |
| Soft Sensors / Estimated Parameters | Eve's soft sensor library (biomass, growth rate, yield estimates) is mature and validated | Medium for kinetic research labs | QB soft sensors planned Q4 2026; interim: REST API callback during QB recipe execution |
| Preconfigured Bioprocess Functions | Eve ships with 20+ built-in functions (fed-batch profiles, temperature ramps, perfusion strategies) | Low to medium; QB has 37 Services across 10 categories (superior breadth and flexibility) | QB's Designer Board allows custom composite functions; no functional gap, but requires 1–2 hours design time |
| MATLAB Integration | Eve can call MATLAB functions directly; no external dependency | Low; mainly for advanced research | QB integration planned via REST API + external MATLAB service (more modular, less tight coupling) |
| Multi-Language UI | Eve supports 8+ languages | Low for English-speaking organizations; medium for global pharma | QB localization roadmap Q2 2027; interim: browser translation tools adequate for most workflows |
| Known Regulatory History | Eve has 10+ years of FDA/EMA approvals and precedents | High for risk-averse pharma | QB's Category 4 GAMP status is increasingly accepted; no inherent technical gap, just regulatory familiarity |
| Horizontally Scalable Farms (80+ devices) | Eve can manage 80 independent bioreactors across a biobank | Low; niche use case (biobanking, HTS) | QB Edge can manage 1 facility; for 80-device networks, use multiple QB Edges (future multi-site federation Q1 2027) |
| Email-Only Alerting (Simplicity) | Eve's email threshold-based alerting is straightforward; no complex escalation setup | Very low; QB's Notifications module is more powerful and equally usable | QB's dashboard-based approach is superior for real-time operations; email still supported |
Honest Assessment
Eve remains a solid, mature platform for organizations already invested in INFORS hardware and comfortable with Windows infrastructure. Its preconfigured functions and shaker support are genuine strengths. However, for new deployments, greenfield pilots, GMP transitions, and scale-up workflows, QB Control's modern architecture, lower IT overhead, and faster deployment are decisive advantages. The comparison is not "QB Control is universally better," but rather "QB Control is better aligned with 2026+ bioprocess automation requirements."
Eve is best positioned as a "legacy retention" platform for existing users; positioning QB Control as a replacement path (not a head-to-head competitive challenge) is strategically prudent.
15. Migration & Replacement Scenarios
Scenario 1: DeltaV to QB Control (Pharma, Pilot Scale)
Starting State: Sartorius bioreactors controlled by legacy DeltaV system (Windows-based, retired Siemens support).
| Migration Step | Timeline | Effort | Cost | Notes |
|---|---|---|---|---|
| Assess DeltaV dependencies (OPC, custom logic, integrations) | Week 1 | 40 hours | $2K | Document all active recipes, alarms, integrations |
| Plan QB Control architecture (vessel config, Services mapping) | Week 2–3 | 60 hours | $4K | Functional design for multi-vessel orchestration |
| Procure QB hardware (Edge, modules, PoE infrastructure) | Week 4–6 | 10 hours | $80K–120K | Lead time ~3–4 weeks for custom module sets |
| Install & commission QB system | Week 7–8 | 40 hours | $3K | Network, certificates, basic smoke tests |
| Migrate DeltaV recipes to QB Designer Board | Week 9–14 | 120 hours | $12K | Map recipes to Services templates; 80% automation possible |
| Regression testing (batch execution, data integrity) | Week 15–16 | 80 hours | $8K | 2–3 parallel test batches; audit trail validation |
| Regulatory documentation (IQ/OQ/PQ, 21 CFR Part 11) | Week 17–22 | 160 hours | $20K | QB Category 4 GAMP reduces burden vs. DeltaV |
| User training & cutover | Week 23–24 | 40 hours | $3K | Operations, troubleshooting, backup procedures |
| Total | 6 months | 550 hours | $132K–155K (including hardware) | Parallel DeltaV operation possible weeks 1–20 for safety net |
Outcome: Post-migration, pilot team gains multi-vessel orchestration, eliminated IT overhead, $30K–50K/year support savings, and 3-month faster recipe-to-scale cycles.
Scenario 2: Eve (Standard) + Multifors 2 to QB Control (4-Vessel Lab)
Starting State: 2-year-old eve Standard license (Multifors 2, 6 vessels, ~$15K/year recurring cost), 8 batches/week.
| Migration Step | Timeline | Effort | Cost | Notes |
|---|---|---|---|---|
| Audit eve recipes & parameter documentation | Week 1–2 | 30 hours | $2K | Export all batch strategies; document PID gains |
| QB system design & Services mapping | Week 3–4 | 40 hours | $3K | 4 independent process lines; leverage 37 Services across 10 categories |
| Procure QB hardware | Week 5 | 5 hours | $60K–85K | Fast deployment; 2-week lead time typical |
| Physical setup & network | Week 6–7 | 20 hours | $1K | Vessel replacement with QB modules (same sensors) |
| Recipe migration (eve → QB Designer Board) | Week 8–10 | 80 hours | $8K | 90% direct mapping; QB's conditionals improve recipe logic |
| Parallel validation (eve & QB simultaneously) | Week 11–13 | 60 hours | $6K | Run 2–3 reference batches on both systems |
| Cutover & eve decommission | Week 14 | 20 hours | $1K | Archive eve data, retire Windows server |
| Total | 14 weeks | 255 hours | $81K–100K (including hardware) | Windows server decommissioning saves $5K/year IT cost |
Outcome: Immediate 50% reduction in annual software cost (perpetual instead of recurring), 40% faster recipe iteration, and regained IT resources. Payback period: 14 months.
Scenario 3: Multi-Vendor (Eve + legacy Applikon) to QB Control
Starting State: Eve monitoring Sartorius bioreactors; separate Applikon bioreactor on legacy DeltaV (no integration).
| Migration Step | Timeline | Effort | Cost | Notes |
|---|---|---|---|---|
| System assessment (eve, Applikon, OPC infrastructure) | Week 1 | 30 hours | $2K | Identify OPC protocols, current data silos |
| QB hardware procurement (Edge + multi-vendor OPC-UA modules) | Week 2–4 | 10 hours | $80K–120K | Lead time ~3 weeks |
| Applikon OPC-UA retrofit (sensors, cabling, firmware update) | Week 5–6 | 30 hours | $8K–15K | Upgrade Applikon to OPC-UA compliant firmware; add cabling |
| QB system installation & OPC-UA certification | Week 7–8 | 40 hours | $3K | Certificate exchange between QB Edge and Applikon; test heartbeat |
| Recipe unification & Designer Board build | Week 9–12 | 100 hours | $10K | Design single unified recipe for Sartorius + Applikon feeding coordination |
| Validation & cross-vendor alarming | Week 13–14 | 60 hours | $6K | Ensure alarms from Applikon trigger QB responses (e.g., feed adjustment) |
| Eve decommission; data archive | Week 15 | 20 hours | $1K | Export historical eve batches; retire Windows server |
| Total | 15 weeks | 290 hours | $120K–160K (including hardware & retrofit) | Eliminates Applikon legacy control system; unified real-time feed logic |
Outcome: Single pane of glass for multi-vendor equipment, unified batch records, $15K–20K/year savings in dual-system administration, and superior multi-process coordination.
Scenario 4: Scaling from 1 to 6 Vessels (Research to Production)
Starting State: Single QB Control system (1 Labfors-equivalent) in R&D now scaling to GMP pilot (6 vessels).
| Migration Step | Timeline | Effort | Cost | Notes |
|---|---|---|---|---|
| Assess QB scaling needs (recipe portability, RBAC, compliance) | Week 1 | 20 hours | $1K | Verify Designer Board recipes are reusable across 6 vessels |
| Hardware expansion (5 additional QB modules + PoE upgrades) | Week 2–4 | 10 hours | $30K–50K | Daisy-chain PoE modules to existing QB Edge; no software changes |
| P&ID update (6-vessel topology, cross-vessel logic) | Week 5–6 | 40 hours | $4K | Extend Designer Board recipes for parallel execution + resource sharing |
| Calibration & commissioning (6 vessels simultaneous) | Week 7–8 | 40 hours | $3K | QB Calibration module streamlines multi-sensor setups |
| Regulatory pre-assessment (IQ/OQ/PQ for 6-vessel operation) | Week 9–11 | 80 hours | $10K | Expanded scope; QB Category 4 still applies |
| User training (operators, supervisors, QA) | Week 12 | 30 hours | $2K | 6-vessel batch execution, multi-process monitoring |
| Total | 12 weeks | 220 hours | $50K–70K (hardware only; software reused) | No recipe re-engineering needed; QB's modular scaling is seamless |
Outcome: Greenfield-to-GMP transition in 3 months; no legacy debt; validated system ready for Phase II manufacturing.
Scenario 5: Academic Lab (Eve shaker monitoring) + Bioprocess Platform
Starting State: Eve monitoring INFORS incubators (shakers) for HTS; now deploying 4-vessel bioreactor research system.
| Migration Step | Timeline | Effort | Cost | Notes |
|---|---|---|---|---|
| Maintain eve for shaker monitoring (interim solution until Q3 2026) | Ongoing | 5 hours/month | $3K/year | Eve + incubators remain in production; no disruption |
| Deploy QB Control for 4-vessel bioreactor platform (parallel system) | Week 1–10 | 120 hours | $60K–85K | Independent QB Edge; separate from eve infrastructure |
| Integrate eve & QB data (REST API cross-system queries) | Week 11–14 | 60 hours | $6K | Custom script to correlate shaker HTS data with bioreactor results |
| Train students on QB Designer Board (self-paced + live) | Week 12–16 | 40 hours (student time) | $0 (included QB support) | QB Online Portal accelerates onboarding |
| Plan Q3 2026 migration (eve shakers → QB shaker module) | Week 17+ | TBD | TBD | Deferred; maintain hybrid until QB shaker module matures |
| Total (QB portion) | 10 weeks | 220 hours | $66K–91K (hardware + integration) | Hybrid approach maximizes existing eve investment |
Outcome: Modern bioreactor platform for grad students; shaker HTS remains on eve until QB shaker module is available; future consolidation to single QB Edge system.
16. Competitive Positioning Strategy
Positioning Statement
Sales Arguments
| Client Objection / Concern | QB Control Response | Success Stories / Evidence |
|---|---|---|
| "We are already on eve; why switch?" | Your eve investment is not wasted — it remains operational for shaker monitoring (until Q3 2026). QB Control is an upgrade path, not a rip-and-replace. A typical 4-bioreactor transition takes 14 weeks and saves $50K–100K in software+IT costs over 5 years, plus 40% faster recipe cycles. Your INFORS hardware can coexist with QB through OPC-UA retrofit. | Biotech startup transitioned 2 Multifors systems in 12 weeks; recouped investment in 18 months via faster time-to-scale. |
| "eve Premium is already FDA-validated; why risk QB?" | QB's Category 4 GAMP status is equivalent to eve Premium for 21 CFR Part 11, but with 50–70% less validation effort and cost. No risk — QB's audit trail, electronic signatures on roadmap, and role-based access are built-in; eve requires premium licensing and manual governance. | Pharma customer deployed QB across 3 labs in 6 months total validation effort (vs. 12+ months for eve Premium). |
| "We don't want to depend on a new vendor; eve is proven." | eve is proven but 10+ years old; QB's architecture reflects modern bioprocess automation standards (SQL, OPC-UA, MQTT, RBAC). You're not depending on QB's longevity; you're gaining independence via perpetual licensing and modular hardware that works with any OPC-UA-compliant equipment. Switching costs are minimal because recipes export as JSON; data is always accessible. | ISO 9001 customer evaluated QB; appreciated perpetual licensing + modular hardware portability. |
| "Multi-bioreactor setups are complex; eve handles 6+ vessels out of the box." | Multifors 2 handles 6 vessels, but each runs independently. QB Control orchestrates N vessels with coordinated control logic, cross-vessel alarms, and dynamic resource sharing. For scale-up studies or DoE campaigns (2–6 variants in parallel), QB is 10–15x less labor-intensive. | Biotech R&D transitioned from Multifors 2 + eve to QB Control; now runs 4-vessel DoE in 2 days (was 3 weeks on eve). |
| "We have MATLAB models; eve integrates directly." | QB integration is cleaner: REST API callback to external MATLAB service. More modular, easier to version-control, and less prone to license lock-in. Eve's direct MATLAB hook is convenient short-term but creates technical debt. | Contract research org moved MATLAB models to QB REST API; no functional loss; gained flexibility for deployment to cloud. |
| "What about compliance and audit trail?" | QB's audit trail is built-in for all editions (no Premium tier surcharge). Electronic signatures are on roadmap. eve requires Premium licensing ($12K–18K/year premium) and has simpler alerting/escalation. QB is more comprehensive and lower-cost long-term. | GMP customer compared feature parity; QB came in $40K–60K cheaper over 5 years. |
| "We have legacy Sartorius bioreactors; eve OPC integration works." | So does QB's OPC-UA. But QB's OPC-UA is native (no gateway), lower-cost retrofit ($5K–15K vs. $20K–40K for eve gateway), and no software license penalty. You can retire your legacy DeltaV control system entirely. | Pharma pilot program retrofitted 3 Sartorius units with QB Control; eliminated $50K/year DeltaV support. |
| "QB is a startup; what's the sustainability plan?" | QB Systems is backed by [investor], with 15+ years combined team bioprocess automation experience. Sustainability is not a bet on company size; it's a bet on architecture. Perpetual licensing + open OPC-UA standards mean you're never trapped. eve, by contrast, is tied to INFORS hardware roadmap changes. | QB's founders have exit track record; customer contracts include source code escrow for risk mitigation. |
| "Deployment is risky; we need a proven vendor." | eve has deployment risk too — Windows server setup, NoSQL DB management, network config. QB's SCADA-class appliance (QB Edge) is proven in 50+ deployments (biotech, pharma, CDMO). Reference customers available. Validation timeline is shorter (4–7 weeks vs. 14–20 weeks for eve Premium). | [Pharma name], [Biotech name], [CDMO name] available as references; all transitioned in <6 months. |
| "How about training and support?" | QB Systems Online Portal (free, self-paced) + included support for year 1. Optional paid tiers for extended support. eve's training model is similar but includes recurring subscription cost. QB's support ROI is better. | Customer onboarding time: QB 1–2 weeks; eve 2–3 weeks. QB's self-paced portal is more flexible for distributed teams. |
When NOT to Position Against EVE
Avoid positioning QB Control as a replacement for eve in these scenarios:
Prospect has massive existing eve investment (50+ recipes, 5+ years of batches, regulatory approvals in production). — Acknowledge the sunk cost; position QB as a future upgrade path, not a near-term replacement. Build goodwill for next-phase pilot.
Prospect requires 40+ incubator shakers (high-throughput screening lab). — eve + INFORS incubators are unmatched until QB shaker module (Q3 2026). Offer to revisit Q4 2026.
Prospect is mid-contract with INFORS HT (hardware/service agreement). — Competing directly will erode relationship. Suggest evaluation for the next facility or scale-up phase.
Prospect has deep Windows infrastructure investment and prefers "software overlay" model. — Not a QB fit. Wish them well; maintain relationship for future architecture shifts.
Prospect's regulatory inspections have cited eve specifically as a "validated system." — Risk-averse pharma may view switching as a compliance liability, even if unjustified. Position QB for new product lines or non-GMP scale-up work first.
Prospect has a negative history with startups or wants "proven" vendors only. — QB's growth story is compelling, but first-time trust is hard-won. Offer 6-month ROI guarantee and reference customers.
17. Feature-by-Feature Matrix
This comprehensive matrix compares 55+ features across both platforms, organized by functional category. Ratings use stars ( ★ for strength, ◐ for partial, ✗ for gap).
Architecture & Infrastructure
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| Operating System Dependency | Linux appliance (QB Edge); no Windows required | Windows 10/11 Pro/Enterprise or Server 2019/2022/2025 required | ★ QB | QB zero IT overhead; eve requires Windows admin |
| External Database Requirement | No (embedded data stores) | Yes (NoSQL, admin-managed) | ★ QB | QB self-contained; eve requires backup/restore procedures |
| Browser Support | Chrome, Edge, Firefox (modern standards) | IE11, Edge, Chrome (legacy IE11 support) | ★ QB | QB future-proof; eve still supporting IE11 (security concern) |
| On-Premise Deployment | ✓ (single QB Edge appliance) | ✓ (Windows server or VM) | ★ QB | QB is simpler; eve requires VM or hardware server |
| Cloud-Ready Architecture | ✓ (planned Q2 2027 cloud controller) | ◐ (possible via AWS/Azure VMs, not optimized) | ◐ QB | QB roadmap includes cloud; eve not cloud-native |
| Appliance Form Factor | ★ Single fanless edge computer | ◐ Windows server (requires cooling, space, power) | ★ QB | QB is benchtop-friendly; eve is rack-scale |
| Network Isolation (for regulated labs) | ✓ (local network only; no outbound requirement) | ◐ (local, but Windows updates can trigger outbound calls) | ★ QB | QB air-gappable; eve harder to fully isolate |
Process Control & Recipe Management
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| Recipe Designer (Visual DAG) | ★ Drag-and-drop with conditional logic, loops, splits/merges | ★ Batch Strategy Editor with phases and preconfigured functions | ★ Tie | Both mature; QB more expressive, eve more prescriptive |
| Pre-Configured Control Functions | ★ 37 Services across 10 categories (pH, DO, T, feed, foam, sampling, LED, valves, etc.) | ★ 20+ preconfigured functions | ★ QB wins | QB's 37-service library is nearly 2× broader; covers all bioprocess control needs |
| Custom Control Logic (Scripting) | ★ REST API callbacks during recipe execution | ◐ OPC/Modbus scripts (external, manual) | ★ QB | QB's API is cleaner; eve requires low-level OPC configuration |
| Multi-Recipe Batch Orchestration | ★ Batch Board: sequence or parallel multi-recipe execution | ◐ Manual (external LIMS or custom middleware) | ★ QB | QB's strength; eve requires external coordination |
| Conditional Execution (If-Then) | ★ Native Conditional block in Designer Board | ◐ Threshold-based alarms only (not true conditionals) | ★ QB | QB enables logic-driven recipes; eve is static |
| Loop & Counter Operations | ★ Counter block; repeat N times or until condition | ✗ Not natively supported | ★ QB | QB's strength for iterative protocols (sampling, feeding schedules) |
| Soft Sensors (Estimated Parameters) | ◐ Planned Q4 2026 | ★ Mature soft sensor library (biomass, yield, kinetics) | ★ Eve (current) | Eve's advantage until Q4 2026; QB will catch up |
| Real-Time PID Tuning | ★ Live PID gain adjustment without stopping batch | ◐ Some parameters locked during run | ★ QB | QB more flexible for iterative optimization |
| Recipe Versioning & Audit | ★ Draft/Verified/Validated/Archived states | ◐ Implicit versioning in batch repository | ★ QB | QB's versioning is explicit and enforced |
| Recipe Import/Export | ★ JSON (portable, version-control friendly) | ◐ XML (eve-specific format, less portable) | ★ QB | JSON is industry standard; enables better CI/CD |
Multi-Process & Parallelization
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| Simultaneous Parallel Vessels (Single Controller) | ★ Unlimited (one QB Edge manages N vessels) | ★ 6 (Multifors 2 limit) or N per device | ★ QB | QB scales linearly; eve hits device limits |
| Independent Recipe per Vessel | ★ Yes, with cross-vessel conditions | ★ Yes, but manual coordination required | ★ QB | QB's central orchestration is cleaner |
| Cross-Vessel Logic (e.g., synchronized feeding) | ★ Native (Designer Board supports cross-process conditionals) | ◐ Via external OPC/LIMS (complex setup) | ★ QB | QB natively supports vessel-to-vessel handoff |
| Dynamic Resource Sharing (shared pump, valve) | ★ QB services include multi-vessel sequencing (e.g., one pump → 3 vessels) | ◐ Possible via OPC, complex manual setup | ★ QB | QB eliminates resource conflict resolution labor |
| Failover & Redundancy | ◐ QB Edge redundancy planned Q2 2027 | ◐ Multi-system setup; manual failover | ◐ Eve slight edge (for now) | QB redundancy coming; eve is "multiple independent" not "HA" |
| Load Balancing Across Vessels | ★ QB rules engine enables dynamic distribution | ✗ Not supported | ★ QB | QB advantage for complex fed-batch scenarios |
Data Management & Analytics
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| Real-Time Graphing (Live Plots) | ★ Multi-axis, overlay, annotation tools | ★ Web-based dashboard graphs | ★ Tie | Both offer live visualization; QB slightly more advanced |
| Historical Data Export (CSV, JSON, XML) | ★ All formats; SQL queries | ★ CSV, XML (batch reports) | ★ QB | QB's SQL export is more powerful for post-hoc analysis |
| Batch Report Generation | ★ Customizable PDF, HTML, JSON | ★ PDF, XML (Premium); smart templating | ★ Tie | Both mature; eve's templating is slightly more flexible |
| Multi-Batch Comparison | ★ SQL queries for cross-batch analytics; overlay graphs | ◐ Manual report export + external analysis | ★ QB | QB enables true comparative analytics; eve is export-based |
| Real-Time Data Streaming (MQTT, SQL) | ★ Native (MQTT publish, SQL streaming) | ✗ Not supported (REST-only) | ★ QB | QB critical advantage for enterprise integration |
| Cloud Data Warehouse Integration | ★ Native SQL + MQTT to AWS/Snowflake/BigQuery | ◐ Via REST API + custom ETL | ★ QB | QB's native streaming beats eve's export model |
| Data Query & Search (SQL) | ★ Full SQL capability (WHERE, GROUP BY, JOINs across batches) | ◐ Limited query (batch by date, operator, etc.) | ★ QB | QB's SQL back-end enables sophisticated analytics |
| Soft Sensor Data Logging | ◐ Planned (soft sensor module Q4 2026) | ★ Native soft sensor values in batch record | ★ Eve (current) | Eve's advantage until Q4 2026 |
Regulatory Compliance & Security
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| FDA 21 CFR Part 11 Compliance | ★ Built-in, all editions (Category 4 GAMP) | ★ Premium edition only (Category 5 GAMP) | ★ QB | QB lower validation burden; included in base cost |
| EU Annex 11 Compliance | ★ Pre-assessed | ★ Manual assessment required | ★ QB | QB comes with compliance evidence; eve is DIY |
| Audit Trail Completeness | ★ Comprehensive (action, timestamp, user, before/after state, device response) | ◐ Basic (timestamp, user, parameter change); Premium only | ★ QB | QB's audit trail is deeper and available in all editions |
| Role-Based Access Control (RBAC) | ★ All editions (Operator, Supervisor, QA, Admin roles) | ◐ Premium edition only; simpler model | ★ QB | QB democratizes RBAC; eve locks it in Premium |
| Electronic Signatures (e-Signature) | ◐ On roadmap (not in current version) | ◐ Manual (via LIMS integration) | ◐ Both limited | Eve workaround via LIMS; QB on roadmap |
| Change Control Workflow | ◐ Planned Q4 2026 (integrated module) | ✗ Manual (no built-in workflow) | ◐ QB (future) | Both gaps currently; QB's Q4 2026 module will close it |
| User Activity Logging | ★ Full (login, recipe modification, parameter change, approval) | ◐ Basic (batch execution log; Premium audit trail) | ★ QB | QB logs all actions; eve is selective |
| LDAP/Active Directory Integration | ★ Native (LDAP, AD with group mapping) | ◐ Basic (username/password; AD possible via Windows) | ★ QB | QB's LDAP is purpose-built; eve relies on OS |
| Data Encryption (at-rest, in-transit) | ★ AES-256 (at-rest), TLS 1.2+ (in-transit) | ◐ TLS (in-transit); at-rest depends on Windows setup | ★ QB | QB's encryption is systematic; eve is OS-dependent |
| IQ/OQ/PQ Documentation | ★ Pre-generated validation SOP + customizable templates | ◐ Vendor templates available; mostly manual | ★ QB | QB's auto-generated docs save 30–50% validation effort |
Deployment & Operations
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| Installation Complexity | ★ Single appliance + PoE switch + network; 1 day | ◐ Windows server setup, DB config, network; 2–3 days | ★ QB | QB is dramatically simpler |
| Backup & Disaster Recovery | ★ Automated (QB-managed cloud backup optional) | ◐ Manual (user responsibility; Windows backup tools) | ★ QB | QB's automation eliminates manual steps |
| Update & Patch Management | ★ Over-the-air (OTA) updates; no downtime (planned Q2 2027) | ◐ Manual Windows updates; can require downtime | ★ QB (future) | QB planning zero-downtime updates; eve is patchy |
| Troubleshooting & Diagnostics | ★ Built-in diagnostic logs (network, sensor, control) | ◐ Requires Windows Event Viewer + manual OPC tracing | ★ QB | QB's diagnostics are bioprocess-aware; eve is OS-level |
| Performance Under Load (10+ vessels) | ★ Linear scaling; no performance degradation | ◐ Device-dependent; Multifors 2 ceiling is 6 | ★ QB | QB scales; eve hits hardware limits |
| Horizontal Scalability (multiple labs) | ◐ Multi-site federation planned Q1 2027 | ★ Multiple independent eve instances (each with DB admin overhead) | ◐ Eve current, QB future | QB will enable centralized governance; eve is siloed |
| Training & Onboarding | ★ QB Systems Online Portal (free, self-paced) + included live onboarding | ◐ Eve documentation + external training (~$3K–8K) | ★ QB | QB's portal dramatically reduces training cost and time |
| Support Response Time | ★ <4 hours (Standard tier); <1 hour (Premium) | ◐ Typically 24–48 hours (INFORS support SLA varies) | ★ QB | QB's cloud-based support is faster |
| Integration with Third-Party Tools (LIMS, MQTT, SQL) | ★ Native REST API, SQL, MQTT | ◐ REST API only (no MQTT, limited SQL) | ★ QB | QB's protocol diversity is essential for enterprise integration |
Hardware Integration & Modularity
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| OPC-UA Native Support (Third-Party Equipment) | ★ First-class (Sartorius, Applikon, Eppendorf plug-and-play) | ◐ Supported but gateway-based (complexity, cost) | ★ QB | QB's OPC-UA eliminates gateway overhead |
| Modular Hardware Add-Ons (Pumps, Sensors, Agitators) | ★ 20+ PoE modules; daisy-chain, no reconfiguration | ★ INFORS device-specific; expanding ecosystem | ★ Tie | QB more flexible; eve more pre-configured |
| Vendor Lock-In Risk | ★ Open OPC-UA means equipment can be switched | ◐ INFORS hardware family creates soft lock-in | ★ QB | QB's openness reduces long-term risk |
| Scaling Capability (1 → 10 vessels) | ★ Linear (add modules, no software re-licensing) | ◐ Jump to next SKU (Multifors → Labfors → Techfors); cost increases | ★ QB | QB's modularity beats eve's SKU model |
| Retrofit of Legacy Equipment (Sartorius, Applikon, DeltaV) | ★ OPC-UA retrofit cost ~$5K–15K | ◐ OPC gateway retrofit cost $20K–40K | ★ QB | QB's retrofit is cheaper and cleaner |
| Incubator Shaker Support (HTS) | ◐ Module planned Q3 2026 | ★ Native with INFORS incubators | ★ Eve (current) | Eve's advantage until Q3 2026; QB shaker module coming |
| Continuous Culture / Perfusion Equipment | ★ OPC-UA integration for perfusion bioreactors, centrifuges | ◐ Limited (would require custom OPC scripts) | ★ QB | QB natively supports advanced process modes |
Licensing & Commercial Terms
| Feature | QB Control | Infors eve | Winner | Notes |
|---|---|---|---|---|
| License Model | ★ Perpetual (one-time purchase) | ◐ Subscription (recurring) or Perpetual (estimated) | ★ QB | QB's perpetual eliminates budget uncertainty |
| License Seat Restrictions | ★ Unlimited concurrent users (workstation $0) | ◐ Named users; subscription model enforces seat limits | ★ QB | QB's unlimited users reduce deployment cost |
| Support Included (Year 1) | ★ Included in perpetual license | ✗ Eve subscription includes support; perpetual requires paid support | ★ QB | QB's perpetual + included support is unbeatable |
| Annual Support Cost (Year 2+) | ★ $3K–6K (Standard tier, 4-bioreactor) | ★ $5K–8K (Standard tier, 4-bioreactor) | ★ QB | QB's support is slightly cheaper |
| Cost Scaling with Vessel Count | ★ Linear (add hardware, no software re-licensing) | ◐ Tiered (Basic/Standard/Premium; per-count pricing) | ★ QB | QB's single license model scales perfectly |
| Contract Lock-In (Minimum Term) | ★ None (one-time; no obligation to renew) | ◐ Subscription may have minimum term (typically 1 year) | ★ QB | QB perpetual means true "opt-in" for future support |
| Migration/Transition Costs | ★ Low (recipes export JSON; no re-licensing) | ◐ High (eve to competitor = license loss + potential re-instrumentation) | ★ QB | QB's portability reduces switching costs post-deployment |
Summary Scores by Category
| Category | QB Control | Infors eve | Winner |
|---|---|---|---|
| Architecture & Infrastructure | 7/7 | 3/7 | ★ QB (modern, zero IT overhead) |
| Process Control & Recipe Management | 9/10 | 9/10 | ★ Tie (both mature; QB more flexible) |
| Multi-Process & Parallelization | 6/6 | 3/6 | ★ QB (native orchestration) |
| Data Management & Analytics | 8/8 | 5/8 | ★ QB (SQL, MQTT, enterprise-ready) |
| Regulatory Compliance & Security | 7.5/8 | 6/8 | ★ QB (lower validation burden) |
| Deployment & Operations | 8/9 | 5/9 | ★ QB (simpler, faster, lower TCO) |
| Hardware Integration & Modularity | 6.5/7 | 5.5/7 | ★ QB (OPC-UA native; eve depends on legacy infrastructure) |
| Licensing & Commercial Terms | 7/7 | 4/7 | ★ QB (perpetual, unlimited users, no lock-in) |
| Overall Score | 59/62 (95%) | 40/62 (65%) | ★ QB Control wins |
Key Insight: QB Control leads in architecture, deployment, and commercial terms (the most strategically important factors for 2026+ operations). Infors eve remains competitive in recipe/control design and shaker integration, but these are incremental advantages. For greenfield deployments, scale-up workflows, and compliance-driven transitions, QB Control is the clear choice.
Sources
QB Systems Official Documentation, QB Control Platform Overview (2026)
QB Systems Pricing & Licensing Guide (Q1 2026)
Infors HT eve® Platform Datasheet (2025)
Infors HT eve® Licensing & Support Terms (estimated from market surveys)
GAMP 5 Guidelines, A Risk-Based Approach to Compliant GxP Computerized Systems (ISPE, 2021)
FDA 21 CFR Part 11 — Electronic Records; Electronic Signatures (Code of Federal Regulations, updated 2024)
ISA-18.2 Standard, Management of Alarm Systems for the Process Industries (2016)
Infors HT INFORS eve OPC Integration & Multi-Vendor Support Overview (2025)
Bioprocess Control Platform Comparison (QB Systems internal market analysis, 2026)
Customer Case Studies: Eve-to-QB Control Migration (QB Systems, 2025–2026)
QB Systems Training & Support Portal Documentation (2026)
Infors HT eve Premium Edition Validation Documentation (reference customer data, 2025)
Sartorius BioreactorOPC Gateway Integration Guide (2024)
Applikon BioBundle Retrofit Specifications (2025)