GMP

InfoBatch ETL

Automatically captures, transforms, and secures file-based equipment data at the point of generation
  • Icon_InfoETL

    Original equipment files encrypted and retained for audit back-verification. Directly addresses most common FDA data integrity findings. Compliance confidence.

  • Icon_Star

    Captures file-based equipment data from HMIs, instruments, and skids. General-purpose ETL and cloud platforms cannot. Solves what competitors don't address.

  • Icon_AI Monitor

    No custom scripts. Purpose-built for manufacturing compliance. Validation scope 40-60% smaller than scripted solutions. Faster deployment, lower cost.

  • Icon_Data center

    Edge deployment without cloud dependency. Operates within facility boundaries. Meets OT/IT segmentation and security requirements.

  • Icon_Workforce

    Validated Transformers for common equipment (Rockwell, DeltaV, tablet presses). Reduces custom development. Implementation in weeks.

Trusted By

Data Silos End Here.

Icon_AI Monitor
Capture Equipment Data

Automatically extract files from instruments, HMIs, and skids the moment they're generated. No manual collection. No USB drives. No gaps in your electronic batch records.

Icon_Compliance
Audit-Ready Compliance

Original source files encrypted and retained alongside processed data. Complete audit trails on every data movement. Defensible process that holds up during FDA inspections.

Icon_Security
Zero Custom Scripts

Service-based architecture eliminates the custom scripts that break, require maintenance, and create validation risk. Configure the system. Let it work. No code to defend.

Automatic File Capture

Every day, your instruments, HMIs, and equipment skids generate files with operational intelligence. InfoBatch ETL captures them automatically the moment they're created, ensuring no data is lost, misplaced, or handled manually.

  • Automatic file detection from CSV, XML, JSON, and SQLite sources across your facility
  • Zero manual intervention: no USB drives, no scheduled exports, no human touchpoints in the data chain
  • Service-based extraction: no custom scripts required, no integration code to maintain
  • Immediate capture at the point of generation, ensuring no data is ever stranded or lost
InfoETL

Equipment Connectivity

InfoBatch ETL connects to the devices and systems that actually exist in your manufacturing facility without requiring system upgrades or equipment replacement.

  • Rockwell FactoryTalk HMIs: audit trails, alarm logs, and process parameter files captured directly
  • DeltaV and other DCS systems: batch data and historical records integrated without OPC/real-time connections required
  • Laboratory instruments: HPLC, GC, dissolution, and analytical equipment output integrated into batch records
  • Equipment skids: tablet presses, capsule fillers, blending equipment with embedded file logging
  • Legacy equipment: older equipment lacking modern connectivity is supported because InfoBatch ETL captures files, not protocols
  • Data historians: Spectral PAT and other continuous measurement systems integrated without custom development
InfoETL

Service-Based Architecture

Unlike scripted integration approaches, InfoBatch ETL eliminates custom code entirely, reducing implementation time and validation burden.

  • Configuration-based approach: your team configures connections, the system captures files
  • Pre-built device connectors: no custom development required for common pharmaceutical equipment
  • Modular expansion: adding new equipment types requires only new connector modules, not system redesign
  • Rapid deployment: typical initial connections established within days, not weeks
InfoETL

Audit Trail & Traceability

Every file captured is documented and traceable, creating a defensible record from the moment data enters the system.

  • Complete logging: every file capture recorded with timestamp, source, and equipment identification
  • Chain of custody: data provenance tracked from equipment through repository
  • Tamper-evident records: audit trail cannot be altered without detection
  • Inspection-ready documentation: audit trail reports generated on demand for regulatory review
InfoETL

Data Integrity During Extraction

Data integrity begins at capture, not later in processing, preventing corrupted data from entering your system.

  • File validation: extracted files verified for completeness and structure integrity
  • Source verification: files confirmed to originate from authenticated equipment
  • Checksum tracking: file integrity verified throughout extraction and transfer
  • Failure notification: extraction failures logged and flagged for immediate investigation
InfoETL

Scalability Across Your Facility

Start with one device and expand without re-architecture or system redesign.

  • Modular design: each new equipment connection is an independent module
  • Consistent framework: all extractions use the same validated approach regardless of source
  • Multi-site capability: facility-wide deployment with potential for cross-site data synchronization
  • Growth without complexity: adding the tenth device is as straightforward as the first
InfoETL

Data Validation & Quality Gates

Raw equipment files contain numbers without meaning, and data flows through multiple validation and processing layers to become manufacturing intelligence. InfoBatch ETL applies your rules, validates quality, converts units, and verifies integrity: sometimes re-processing data that doesn't meet standards before it reaches your batch record. 

  • Missing data detection: identifies gaps before they reach your batch record
  • Range validation: flags out-of-specification values immediately
  • Format verification: ensures data structure matches your requirements
  • Suspicious pattern identification: detects anomalies like constant values or impossible relationships
  • Quality gatekeeping: data that fails validation is isolated, logged, and flagged for investigation rather than silently passing through
iStock-1087218962

Contextualization & Meaningful Information

  • Unit conversion (Celsius to Fahrenheit, PSI to bar, etc.)
  • Formula application (calculated fields, derived parameters)
  • Time alignment and timestamp normalization
  • Batch association: data matched to correct batch, work order, or campaign
  • Equipment identification: clear traceability to which instrument/skid generated the data
  • Process context: raw readings become meaningful batch parameters
iStock-1087218962

Data Integrity Preservation

  • Lineage tracking: complete record of how each data element was processed
  • Immutable transformation log: every conversion step is documented
  • Original data relationship: processed data always links back to source file
  • Audit trail recording: who, what, when for every transformation rule applied
  • Re-processing capability: data flagged for quality issues can be re-validated or re-processed without losing audit trail
iStock-1087218962

Enterprise Readiness

  • Structured format suited for downstream systems
  • Compliance-ready validation that satisfies GMP requirements
  • Complete metadata preserved alongside values
  • Data ready for reporting, trend analysis, and decision-making
iStock-1087218962

Local Repository Architecture

Clean, contextualized data flows into your infrastructure where it belongs. Your batch records are complete. Your enterprise systems have the intelligence they need. Your teams have access to the information that drives decisions.

  • Encrypted storage of all processed data within your facility
  • Original source file retention: unmodified equipment files preserved alongside processed data for audit back-verification
  • Auto-archiving: data retention policies enforced automatically without manual intervention
  • SQL-queryable database: your data is accessible to standard reporting tools, not locked in proprietary formats
doc_blog

Enterprise System Integration

Data flows seamlessly into the systems your teams already use, eliminating manual export and re-entry.

  • MES / Manufacturing Execution Systems: batch data flows to production tracking and work order systems
  • LIMS / Laboratory Information Systems: analytical results populate automatically without transcription errors
  • ERP / Enterprise Resource Planning: equipment utilization, batch yield, and cycle time data reaches business systems
  • Batch Record Systems / Electronic Batch Records: equipment data, analytical results, and process parameters populate automatically
  • Custom integrations: API-based architecture supports connection to any downstream system
  • Data buffering: processed data queued for upload to multiple systems without latency
doc_blog

What Your Teams Can Now Do

  • Quality teams have complete batch records during review and disposition
  • Operations teams access real-time equipment performance and process parameters
  • Engineering teams query historical data for trend analysis and root cause investigation
  • Compliance teams generate audit trail reports showing complete data lineage
  • Business leadership sees accurate equipment utilization and manufacturing efficiency metrics
  • Manufacturing teams make decisions based on complete, current information instead of incomplete files
doc_blog

Data Accessibility & Querying

Your data is not locked away in proprietary formats. Standard tools can access it for reporting and analysis.

  • SQL-queryable repository: standard database query tools work directly against the repository
  • Real-time reporting: dashboards and reports reflect current data without export delays
  • Custom queries: your teams can write their own queries for specific analysis needs
  • Third-party tool integration: Tableau, Power BI, and other analytics platforms connect directly
  • Historical analysis: years of archived data remain accessible for trend analysis and investigation
  • No data export required: information flows directly from repository to analysis tools
doc_blog

Compliance & Security in Repository

Data stored in the repository meets GMP and regulatory requirements without supplemental security measures.

  • Encryption at rest: all data encrypted using industry-standard cryptography
  • Access controls: role-based permissions restrict who can view or modify data
  • Audit logging: all repository access logged for compliance verification
  • Data integrity checks: regular validation scans verify data has not been corrupted
  • Backup and disaster recovery: automated protection against equipment failure and data loss
  • Retention policy automation: archiving and destruction follows your compliance requirements automatically
doc_blog

Integration with Your Validation Framework

The repository architecture supports your existing validation and compliance processes.

  • Validated architecture: pre-validated design reduces your IQ/OQ/PQ scope
  • Configuration documentation: all repository settings documented and traceable
  • Change control: modifications logged and auditable
  • Compliance readiness: structure supports 21 CFR Part 11, ALCOA, and GMP requirements
  • Inspection defensibility: repository design and operation documentable for regulatory review
doc_blog

Add-on Modules

Engineering extension tools that can help you quickly and efficiently complete projects. Modules can work individually or together within Fathom and your existing Fathom models.

Settling Slurry

Models the effects of pumping fluids containing settling solids using the Wilson/GIW method. Used with either Fathom or Impulse.

Goal Seek and Control

Identifies input parameters that yield desired output values and simulates control functions. Used with either Fathom or Arrow.

Extended Time Simulation

Models dynamic system behavior in steady-state flow and how critical system parameters vary over time. Used with either Fathom or Arrow.

Automated Network Sizing

Evaluates the complex interaction of system variables to reveal combinations of cost savings. Used with either Fathom or Arrow.

Chempak Database

The Chempak add-on utility provides a thermophysical database of almost 700 liquids and 600 gases with mixing capability.

Pulsation Frequency Analysis

Helps identify pipe acoustical frequencies to avoid resonance from excitation, especially in systems with positive displacement pumps and reciprocating compressors. Used with either Impulse or xStream

Core Capabilities

Automated Data Capture

Equipment files captured automatically at the point of generation from HMIs, instruments, skids, DCS systems, and historians. No manual collection. No USB drives. No gaps in your audit trail.

Service-Based Architecture

Configuration-based approach with zero custom scripting. Pre-built connectors for common pharmaceutical equipment. Add new data sources through modular Transformers, not code development.

Intelligent Transformation

Raw equipment data becomes meaningful batch intelligence through validation, contextualization, unit conversion, formula application, and quality gatekeeping. Only clean data reaches your batch records.

Enterprise Integration

Seamless connection to MES, LIMS, ERP, batch record systems, and custom platforms. Data flows directly into systems your teams already use without manual export or re-entry.

GMP Compliance Built-In

21 CFR Part 11 compliance, encrypted source file retention, immutable audit trails, and data integrity validation are foundational, not bolted-on. Audit-ready from day one.

Local Deployment

Edge-proximity architecture processes data immediately without cloud latency or connectivity dependency. Your data stays within your facility and network boundaries.

Potential Results

Explore Customer Stories
shutterstock_2137464357-scaled
50% Reduction in Validation Effort Validation scope cut in half
digital-transformation (8)
Hours Instead of Weeks 60-80% faster data capture setup
digital-transformation (7)
Zero Inspection Findings on Data Integrity Defensible process from day one

Common Questions

InfoBatch ETL integrates into your existing manufacturing environment without disruption, connecting to equipment you already have and flowing data to systems you already use.

How does InfoBatch ETL capture data from our equipment?

InfoBatch ETL monitors your equipment connections and automatically captures files as they are generated. CSV from analyzers, XML from HMI systems, JSON from newer equipment, SQLite from DCS systems. The extraction is service-based and fully automated, requiring no custom scripts or manual polling. Once configured, the system runs continuously, capturing every file your equipment generates.

What equipment can InfoBatch ETL connect to?

If your equipment generates files, InfoBatch ETL can capture them. Pre-built Transformers support Rockwell FactoryTalk HMIs, DeltaV Spectral PAT, tablet press controllers, laboratory analyzers, and generic CSV/XML/JSON formats. New equipment types are added through configurable Transformer modules. Legacy equipment without modern connectivity is supported because InfoBatch ETL captures files, not real-time connections.

Where does the data go after it's captured and transformed?

Transformed data flows into a local, encrypted repository within your facility. The repository is SQL-queryable, meaning your data integrates naturally with your MES, ERP, LIMS, and batch record systems. You can query the data directly using standard SQL tools. Original source files are encrypted and stored separately for back-verification. Your data never leaves your facility unless you explicitly export it.

Is InfoBatch ETL compliant with 21 CFR Part 11?

Yes. InfoBatch ETL was purpose-built for FDA 21 CFR Part 11 requirements from the ground up. Encrypted source file retention, end-to-end audit trails, data integrity validation, and immutable records are foundational to the design. The system was not adapted for compliance. It was built for compliance.

Do we need custom scripting to implement InfoBatch ETL?

No. Service-based architecture eliminates custom scripting entirely. You configure the system for your equipment and your validation rules. The system does the work. This approach dramatically reduces implementation time, eliminates script maintenance burden, and significantly reduces your validation scope.

How long does implementation typically take?

Most implementations progress through connector setup and configuration, followed by pilot data capture and testing, then full production deployment. Timeline varies based on facility complexity and number of equipment sources, but typical implementations go live within 4-8 weeks from project start.

What happens if we add new equipment or instruments?

Adding new devices is straightforward. If the equipment generates files in a supported format (CSV, XML, JSON, SQLite), configuration takes days, not weeks. If it's a common pharmaceutical device with a pre-built Transformer, deployment is even faster. The system scales across equipment types without re-architecture.

Can multiple teams access the data at the same time?

Yes. InfoBatch ETL provides secure web access for authorized team members. Engineering, quality, validation, and operations teams can query data, generate reports, and inspect configuration simultaneously. All access is logged for audit trail compliance. No specialized workstation access required.
Icon_InfoETL

See how InfoBatch ETL transforms your manufacturing data into decisions you can trust.

iStock-2285647365