Automated Validation
for Brownfield Engineering.
The Machine Memory that verifies every retrofit decision against your facility's legacy constraints. Catch voltage mismatches, protocol conflicts, and spec errors before the purchase order.
Free tier available · No credit card required · Hosted in Germany 🇩🇪
Engineer asks:
"I need a replacement for this Siemens 6ES7 module. Must work with Profinet and handle 24V DC."
Verification Assistant found a documented match:
Siemens S7-1200 · Profinet · 24V DC
✓ 24V DC
✓ Profinet
✓ OK
~8s
Response
21
Verification Tools
100%
Traceable
Three Steps to Validated Decisions
Upload your documentation, analyze against legacy constraints, and get verified answers with source citations—before you commit to a purchase order.
Upload Documents
Upload legacy PDFs—even scanned archives from 1998. The Document Extractor handles any format.
Automated Plausibility Check
The system cross-references new components against legacy voltage, protocol, and physical constraints.
Get Validated Results
Ask questions in plain language. Get pass/fail results with confidence scores and source citations.
Stop mistakes before they cost money. The system flags incompatibilities before the purchase order is signed.
Every validation is linked to source documents. Precise, traceable, defensible.
Reduce Liability Risk
in Retrofit Projects
Every retrofit project needs verifiable compatibility. Our system extracts data from legacy documents, performs plausibility checks, and delivers traceable results with source citations.
Documentation with Proof
Turn scattered PDFs into a unified, queryable knowledge base. Every specification links back to its source with page numbers and confidence scores.
Document Extractor
Structured data from PDFs—even scanned archives
Plausibility Checking
Voltage, protocol, dimensions—automatically verified
Audit Trail with Source Citation
Every value documented with confidence score and page number
"Before, we'd spend hours cross-referencing datasheets manually. Now every spec is verified against the source document with page numbers. That's the kind of traceability auditors love."
— Maintenance Manager, Food & Beverage Plant
Engineering Decisions.
Traced & Verified.
Why was that motor chosen in 2018? The system logs the reasoning, not just the result, creating an audit trail for future retrofits that validates every decision.
CNC Mill #3
VFD Drive
Safety PLC
HMI Panel
IO Module
Sensor
Actuator
2,847
Relationships
456
Decisions
12
Dimensions
89
Knowledge Gaps
Relationship Tracing
provides, consumes, connected_to, can_replace—every component relationship is explicit and queryable.
Decision Logging
Why was that motor chosen? The Plant Memory captures reasoning, evidence, and confidence scores for every engineering decision.
Organizational Learning
Workflow patterns, manufacturer preferences, domain knowledge—the system learns how your team works, not generic best practices.
Knowledge Gap Detection
When the Verification Assistant can't fully answer a question, it flags the gap. Your knowledge base grows with every interaction.
"The senior engineer who knew everything about Line 3 retired last year. His knowledge didn't—and now it validates every change we make."
The Plant Memory doesn't just store knowledge—it uses that knowledge to verify decisions, so expertise compounds instead of disappearing.
6-Stage Extraction Pipeline.
Three Layers of Searchability.
Upload any PDF—even a grainy scan from 1998. Specialized extraction pipelines pull data into three synchronized storage layers: Vector embeddings for semantic search, SQL tables for parametric queries, and the Context Graph for relationship tracing.
Render
PDF → 300 DPI images
Context
Product/Model/MFR
Layout
Page segmentation
Extract
Table + Visual + Text
Normalize
Ontology + SI units
Output
Scored result
Segments each page into semantic regions: headers, tables, diagrams, footnotes, and body text.
Extracts tabular data with footnote resolution. Handles merged cells, multi-page tables, and spec sheets.
Extracts dimensions, pinouts, package footprints, and wiring diagrams from engineering drawings.
Identifies product name, model number, manufacturer, and document type before extraction begins.
Maps extracted data to canonical property names. "Operating Voltage" and "Rated Voltage" become the same field.
Every extracted value gets a confidence score: High, Medium, Low, or Unknown. Full traceability on every specification.
Three Semantic Layers of Understanding
Every extraction feeds into three synchronized storage systems
Vector Database (Semantic Layer)
Conceptual understanding embedded for natural language queries
SQL Database (Structured Layer)
OCR text, table data, and normalized properties for exact queries
Context Graph (Relationship Layer)
Decision traces, usage patterns, and organizational knowledge
Verification Assistant Queries All Layers
Intelligent routing decides which data sources to check based on your question
Why Traditional Methods
No Longer Scale
The automation industry loses $200B+ annually to documentation gaps. Every mismatched spec, every undocumented workaround, every retired expert takes irreplaceable knowledge with them.
Critical knowledge lives in filing cabinets, handwritten notes, and undocumented configurations. When someone retires, decades of hard-won context disappear forever.
Siemens won't map to Rockwell. ABB doesn't talk to Schneider. Cross-referencing specs across vendors takes hours of manual comparison—with human error at every step.
Audits require traceable documentation. But when specs are scattered across PDFs, emails, and tribal knowledge, proving compliance becomes a nightmare.
From Scattered Documents to Unified Intelligence
Every uploaded document becomes queryable, comparable, and verified—automatically.
The Brownfield Verification System
Four integrated capabilities that work together to validate decisions, trace evidence, and protect your facility from costly mistakes.
Extracts verifiable evidence from legacy datasheets—structured data with full source citations for audit trails.
SQL precision meets semantic understanding—answers verified against 21 specialized tools.
Facility → Unit → Machine → Component
Relationships, decision traces, and tribal knowledge preserved in a navigable structure.
Check → Verify → Document
Every specification validated against source documents—stops you when there's a mismatch, before the purchase order.
From Request to Verified Decision
Every validation happens before the purchase order—not after the equipment arrives and doesn't fit
Request
"I need to add emergency stop coverage to conveyor line 4."
Component Discovery
Document Extractor scans uploaded safety relay documentation, extracting voltage requirements, contact ratings, and wiring configurations from the source PDFs.
Compatibility Analysis
The Plant Memory cross-references the safety relay against existing Line 4 components, validating power supply compatibility and I/O availability.
Standards Check
Verification Assistant validates the configuration against ISO 13849 / IEC 62061 requirements, confirming SIL/PL ratings meet the application's risk assessment.
Documentation Generation
Automated compliance documentation is generated with full audit trails—every specification, every source citation, every verification step documented.
Deliverable
Bill of Materials + Compliance Documentation + Full Audit Trail
Every output traceable to source documents. Every specification verified. Every decision logged.
"We caught a motor/drive mismatch before the purchase order—that single validation saved us $15,000 and two weeks of rework. This isn't just a tool. It's infrastructure for our plant's knowledge."
– Senior Automation Engineer
System Integrator, Discrete Manufacturing
Every retrofit decision verified before execution. Every mismatch flagged before the purchase order. Every validation traceable to source documents.
Start Validating Your Retrofit Decisions
Begin with Evidence Extraction on the free tier. Upgrade to unlock Plant Memory, Verification Assistant, and full audit trail documentation.