Graph-native intelligence for manufacturing.
Proven in regulated industries
Deterministic AI built on a knowledge graph. Auditable, reference-grounded, and GxP-ready by construction. In production in GMP manufacturing.
Knowledge nobody can find
Decades of documents, drawings, and data scattered across systems that don't talk. Generic AI can't pass GxP. Engineers spend more time hunting context than fixing the asset.
Documents and assets, disconnected
SOPs, batch records, drawings, P&IDs, certificates, change controls. Tens of thousands of physical assets. The relationships live in tribal memory and brittle joins between QMS, CMMS, MES, and ERP.
AI that can't pass GxP
General-purpose LLMs hallucinate, lack traceability, and cannot meet 21 CFR Part 11 or EU Annex 11. They are not legally operable in regulated manufacturing.
Expertise walking out the door
Institutional knowledge lives in senior engineers' heads. When they retire, decades of plant context retire with them.
Two systems on the surface. xLenz reveals what they contain.
Your quality documentation and your asset management are what the enterprise sees today. xLenz decomposes them, types every part, and threads them together into one graph.
Knowledge graph + LLMs. Not LLMs alone.
xLenz is a three-layer architecture purpose-built for GxP. Built before the hype cycle, deterministic by construction, auditable by design.
The substrate
A property-graph ontology that models the entire plant. Assets, documents, organizations, locations, sensors. Every fact auditable, traceable, queryable.
Recognition at scale
AI ingestion that reads technical documents like an engineer. Recognizes part numbers, instrument tags, schematic symbols, drawings, and links every reference back to the physical asset in the graph.
Conversational, grounded
Natural-language access to the entire knowledge base through Xela. Every answer carries a citation and an audit trail.
Connects to the systems you already run: QMS and document management, CMMS, MES, ERP, scheduling, location tracking, and file shares.
Ask in plain language. Keep the source.
Xela is the AI assistant inside xLenz. It answers from your graph, not from the open internet, and cites the exact page behind every claim.
The cleaning procedure for the filling line is defined in the line SOP 1 and its validation is recorded in the cleaning qualification report 2.
Answers with sources
Every claim carries a numbered citation. One click opens the page and section it came from.
Follows the graph
Ask for everything linked to an asset, document, or location, and Xela walks the relationships for you.
Charts, diagrams, dashboards
Xela draws charts, process diagrams, and relationship graphs right in the chat, ready to export as PNG, SVG, or CSV.
Asks before it acts
Actions that need approval wait for your confirmation, and every step Xela takes is visible.
Projects and memory
Group related chats with shared context. Xela remembers your preferences, and you can see, edit, or delete what it keeps.
Skills for recurring work
Packaged instructions your team defines once and reuses, governed by the same permissions as the data.
Deliver C&Q faster. Win more work.
Life-sciences service providers and system integrators use xLenz to differentiate offerings, accelerate commissioning and qualification, and earn recurring revenue post-project.
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