Platform

From a scattered document library to one searchable safety graph.

Point Adducia at the documents your safety case already lives in. It reads them, connects them, and lets you ask questions of the whole picture, with every answer traced back to its source.

How it works

Three steps, no rekeying.

01 Ingest Bring in your safety and reliability documents as they are. Adducia detects what each one is and pulls structure out of tables, hazard logs, and diagrams, not just paragraphs.

02 Connect It links hazards, causes, controls, requirements, and evidence into one graph, and recognizes when the same artifact appears under different names across documents and revisions.

03 Ask Query the whole program in plain language. Answers come back structured and source-cited, with deterministic coverage, gap, and contradiction checks that show you what is missing and what disagrees.

Capabilities

What it can read, connect, and answer.

01 Multi-genre ingestion FMEA and FMECA workbooks, FHA, fault trees, reliability block diagrams, V&V matrices, hazard logs, and requirements exports from DOORS and Jama (CSV, Excel, or ReqIF).

02 Reads tables and diagrams Extracts from spreadsheets and tabular logs, and reads fault-tree and reliability-block figures, where the real logic often lives.

03 Cross-document resolution Recognizes the same hazard, component, or requirement across documents and baselines and resolves it into a single node.

04 Source-linked answers Every artifact ID and claim in an answer traces to a specific document and location, so you can check it yourself.

05 Gap & contradiction checks Surfaces missing links, unclosed evidence, and places where two documents disagree about the same item, like a severity stated two ways or a value that moved, so an engineer reviews them before an audit finds them.

06 Human in the loop Low-confidence and diagram-derived reads are flagged for review rather than silently trusted, so judgment stays with the engineer.

07 Compares revisions Load two revisions of the same analysis and see what appeared, what disappeared, and what changed value, from severities to rates to statuses, plus which findings are new or resolved since the baseline.

The deliverable

Walk into the review with the report, not a chat log.

One click turns the loaded corpus into a print-ready Audit Readiness Report: severity-ranked gap findings and a requirements traceability matrix, with every line cited to its source document and row.

Severity-ranked findings. Unmitigated hazards, unverified requirements, and cross-document conflicts, worst first.
Requirements traceability matrix. Requirement to hazard to verification, with open items called out honestly.
Nothing generated by AI. The report is computed directly from the graph, so nothing in it can be invented.

Audit Readiness Report Print-ready

open gaps in scope

at the highest severities

24/38

requirements verified

OpenSR-001 → mitigates HL-001, loss of engine powerHazard Log

Verification: none found in the loaded documents

ConflictHL-001 severity: Catastrophic in the FHA, Hazardous in the SSA2 sources

Both readings cited verbatim, with the disposition recorded in the report

ClosedSR-014 → verified by ground test GT-22V&V Plan

Illustrative, synthetic example data

Where the AI is

AI reads. It never decides.

01 Reading is AI, and it shows its work Structured tables are parsed row by row with no model involved. Prose sections and figures are read by AI, and every extracted artifact carries the verbatim quote it came from, verified as a real substring of your document. Anything the model was less sure about is flagged for an engineer's review, never silently trusted.

02 You lock the graph The judgment surfaces are visible and correctable: how a table's columns were read, what a figure was read to say. Once your engineer has reviewed the flagged items, the graph is the record.

03 After that, everything is computed The gap and contradiction checks, the revision comparison, the report, and the export run as plain computation over that graph. No model in the path, so a finding cannot be invented, and the same documents produce the same findings every time.

Built for your data

It runs where your data is allowed to be.

Pilots run on your own documents, under NDA, in a private workspace. Export-controlled or classified material never comes to us; that runs in your own cloud tenant or on your own hardware. No telemetry, nothing used to train models. Anything shown publicly uses synthetic, clearly labeled data only.

Read about trust & security →

Next step

Want to see it on your documents?

Bring one safety document, under NDA, to a 30-minute call. We run Adducia on it live while you watch, and you keep the findings.

Get in touch