We provide knowledge stability
for industrial systems
An operating system that extracts, organizes, and preserves every piece of engineering knowledge — so it never walks out the door.
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."
Nelo found a documented match:
Siemens S7-1200 · Profinet · 24V DC
✓ 24V DC
✓ Profinet
✓ Match
From scattered PDFs
to living knowledge
Upload any document. Six specialized agents extract every specification, generate citations, and make the data searchable — permanently.
1
Upload any document
Product datasheets, scanned archives from 1998, manuals in any language. Deep Perception™ extracts tables, diagrams, specs, and footnotes.
2
Instant compatibility analysis
Compare products or check compatibility within your machine ecosystem. AI cross-references everything — with evidence and citations attached.
3
Ask Nelo anything
Ask in plain language. Nelo orchestrates 14 agents across 27 tools to deliver verified answers with confidence scores and page-level citations.
Reduce liability risk
in retrofit projects
Every retrofit project needs verifiable compatibility. Extract data from legacy documents, perform plausibility checks, and deliver 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.
Deep Perception™
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."
— Maintenance Manager, Food & Beverage Plant
Engineering decisions —
traced, immutable, alive
Why was that motor chosen in 2018? Who configured that VFD last March? Sapienstream maintains a comprehensive knowledge graph of all context, decisions, and configuration traces — auditable and immutable.
Relationship tracing
Every component relationship is explicit and queryable — provides, consumes, connected_to, can_replace.
Decision logging
Nelo captures insights from every conversation, creates interactive questions to mine critical knowledge, and records decision traces with the why, how, and what.
Knowledge attribution
Measure which engineers contribute most to the knowledge base. The system profiles contributions so employers can recognize the builders of institutional wisdom.
Nelo heartbeats
Nelo proactively creates questions to capture more knowledge. Gaps are flagged, filled over time, and collective intelligence grows with every touchpoint.
"The senior engineer who knew everything about Line 3 retired last year. His 30 years of knowledge didn't leave — Sapienstream had been silently building that corpora of wisdom."
The Klaus Problem, solved. Knowledge mined, organized, and made resilient.
Six-stage extraction pipeline,
three layers of searchability
Upload any PDF — even a grainy scan from 1998. Six extraction agents pull data into vector embeddings, SQL tables, and the knowledge graph. Every extraction generates citations so engineers can trace every source.
1
Render
PDF → 300 DPI images
2
Context
Product / Model / MFR
3
Layout
Page segmentation
4
Extract
Table + Visual + Text
5
Normalize
Ontology + SI units
6
Output
Scored result
Layout Agent
Segments each page into semantic regions: headers, tables, diagrams, footnotes, and body text.
Table Agent
Extracts tabular data with footnote resolution. Handles merged cells, multi-page tables, and spec sheets.
Visual Agent
Extracts dimensions, pinouts, package footprints, and wiring diagrams from engineering drawings.
Context Agent
Identifies product name, model number, manufacturer, and document type before extraction begins.
Ontology Mapper
Maps extracted data to canonical property names. "Operating Voltage" and "Rated Voltage" become the same field.
Confidence Scorer
Every extracted value gets a confidence score with full traceability on every specification.
Three layers of understanding
Vector Database
Semantic embeddings for natural language queries
"Find PLCs for harsh environments"
→ Matches IP67, -20°C, vibration-resistant
SQL Database
Parametric queries with exact matching
WHERE supply_voltage = 24
AND protocol = 'PROFINET'
→ 3 exact matches with citations
Knowledge Graph
Decision traces and organizational knowledge
Component → used_in → Machine_A
Decision: "Chose X over Y"
→ Institutional memory preserved
Nelo queries all layers with intelligent routing — semantic search + SQL precision + source citations = verified answer.
Why traditional methods
no longer scale
The automation industry loses $200B+ annually to documentation gaps. Engineers spend hours crunching, seeking, and remembering — then verifying. Hours of "where did I put this note?" across OneNote, emails, and filing cabinets.
The Klaus Problem
Tribal knowledge — lost when 65-year-old Klaus walks away, or when talented engineers leave. The knowledge that never makes it to documentation is catastrophic.
47% of plant knowledge is undocumented
The Human Compiler
Siemens won't map to Rockwell. ABB doesn't talk to Schneider. Engineers spend 40% of their time translating between vendor dialects, with human error at every step.
Average plant runs 4+ incompatible vendors
Compliance Complexity
Audits require traceable documentation. When specs are scattered across PDFs, emails, and tribal knowledge, proving compliance becomes a nightmare.
23% of audit findings relate to documentation gaps
Every uploaded document becomes queryable, comparable, and verified — automatically.
The infrastructure stack
Four integrated capabilities forming a decision-enabling, traceability-building knowledge base that is alive and changing.
Deep Perception™
Extracts verifiable evidence from any document — structured data with full source citations and a caption system that makes everything searchable.
Intelligent Search
SQL precision meets semantic understanding. Nelo queries all layers with 27 tools across 6 modalities, auto-routing to the right data source.
Facility → Unit → Machine → Component
Plant Memory
Configuration files, decision traces, and tribal knowledge preserved in a navigable, immutable hierarchical structure.
Check → Verify → Document
Nelo
14 agents, 6 modalities, 27 tools. Infinite memory in a three-layer architecture. Behind every corner of the platform.
From request to verified decision
Every validation happens before the purchase order — not after the equipment arrives and doesn't fit.
1
Request
"I need to add emergency stop coverage to conveyor line 4."
2
Component discovery
Deep Perception™ scans uploaded safety relay documentation, extracting voltage requirements, contact ratings, and wiring configurations from the source PDFs.
3
Compatibility analysis
Plant Memory cross-references the safety relay against existing Line 4 components, validating power supply compatibility and I/O availability.
4
Standards check
Nelo validates the configuration against ISO 13849 / IEC 62061 requirements, confirming SIL/PL ratings meet the application's risk assessment.
5
Documentation generation
Automated compliance documentation 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.
"We caught a motor/drive mismatch before the purchase order — that single validation saved us $15,000 and two weeks of rework. Nine months in, the platform knows our facility better than most of our team."
Engineering-grade validation
Every retrofit decision verified before execution. Every mismatch flagged before the purchase order. Over 280 API endpoints for programmatic access.
Start building your
knowledge infrastructure
Begin with Deep Perception™ on the free tier. Upload your first datasheet, let six agents extract everything, and see what a living knowledge base feels like.