Your business queries its own knowledge — sourced answers, measured confidence, sovereign data.
Request early accessThe problem
Manuals, standards, project history, ERP data, the expertise of your veterans: it all exists — scattered across a file server, spreadsheets and people’s heads. The result: your best people spend their days searching, and when an expert leaves, their knowledge leaves with them.
The reflex that disappoints
Plugging a chatbot into a folder of PDFs produces fluent answers — and unverifiable ones. Without data preparation, access rights or measurement, nobody trusts it. Rightly so.
The real need
In industry, an answer only counts if it cites its source — the right manual, the right revision, the right ERP line. Getting there is a data-preparation problem, not a model problem.
The silent urgency
Every retirement takes years of unwritten knowledge with it. Capturing it and making it queryable has become a matter of business continuity.
The product
Search & assistant
Your teams ask questions in natural language — the answer comes back sourced, document and passage cited, including diagrams and images.
Structured + unstructured
PDF manuals and ERP or Excel data queried together: “which manuals apply to this customer’s configuration?” — the cross-referencing classic tools can’t do.
Knowledge graph
Your entities — customers, equipment, processes — and their relationships, anchored in the source documents, explorable and verifiable.
Exhaustive retrieval
Not just “the most relevant passages”: when a question demands completeness — every non-conformity for a part number, every version of a procedure — the system delivers it.
Workspaces & fine-grained rights
Isolated workspaces, corpora shared or private, permissions per group and per resource — support and the design office each see exactly what they should.
Built-in evaluation
The golden dataset and scoring live inside the product: reliability isn’t an impression, it’s a dashboard.
Inside a Workspace
How it works
1 · Ingest
Scanned PDFs, manuals, business spreadsheets, ERP extracts — the pipeline turns raw material into clean, enriched data.
2 · Model
Entities, relationships, internal nomenclatures: knowledge takes the shape of your business, not that of a generic tool.
3 · Answer
Search, assistant and graph draw from the same foundation — every answer cites its sources and respects access rights.
4 · Prove
The golden dataset runs continuously; leadership reads a score, not anecdotes. It’s the basis of the guarantee.
And for your existing tools: API and embeddable widgets — your applications query the knowledge foundation without ever exposing the raw data.
Use cases
Quality & compliance
Standards, requirements, non-conformities, production records: the right reference in seconds, traceability included. Our home turf — aeronautics and its documentary demands.
After-sales & technical support
The technician describes the symptom; the system cross-references manuals, ticket history and the customer’s configuration, and proposes the right procedure, sources attached.
Design office
Drawings, calculation notes, multi-technology history, design choices: your senior engineers’ knowledge stays queryable — even after they leave.
One foundation, many uses: the same corpus serves support, quality and engineering — each in its own workspace, with its own rights. Start with one case, extend from there.
Adoption
1 · The diagnostic
Your data, your use cases, a data model and a costed roadmap — delivered as a self-contained document.
2 · The installation
One tightly scoped use case, installed on site in a few days with your team — reliability verified on your golden dataset at delivery.
3 · The system’s life
Sources kept current, model maintained, a monthly reliability report — and the threshold guarantee: below it, we fix at our own expense.
Under the hood
Matched to your sovereignty and compliance requirements.