From a scattered document library to one searchable safety graph.

Point Adducia at the documents that hold your safety case. It reads and connects them, and you can ask questions across all of them. Every answer traces back to its source.

How it works

Three steps, no rekeying.

01 Ingest Bring in your safety and reliability documents as they are. Adducia works out what each one is. It reads tables, hazard logs, and diagrams, not only paragraphs.
02 Connect It links hazards, causes, controls, requirements, and evidence into one graph. It asks you when the same item may have different names in different documents.
03 Ask and review Ask about the whole program in plain language. Each answer is structured and cites its source. Then run the review. The AI reads every document and shows what is missing and what disagrees. Each finding comes with its checked quote.

Capabilities

What it can read, connect, and answer.

01 Reads many document types FMEA and FMECA workbooks, FHAs, fault trees, reliability block diagrams, V&V matrices, and hazard logs. Also requirements exports from DOORS and Jama, as CSV, Excel, or ReqIF.
02 Reads tables and diagrams Reads spreadsheets and tabular logs. Also reads fault-tree and reliability block figures, where the real logic often is.
03 One item, across documents Joins the same hazard, component, or requirement across documents when its name or ID matches. Asks you about names that may be one item written two ways.
04 Source-linked answers Every artifact an answer cites traces to a specific document and location, so you can check it yourself.
05 AI review, checked by code Finds missing links, open evidence, and places where two documents disagree, such as a severity stated two ways. Code checks every quote and ID the review cites. An engineer confirms or rejects each finding.
06 Human in the loop Adducia flags low-confidence reads and reads from diagrams for review. It never trusts them silently, so judgment stays with the engineer.
07 Compares revisions Load two revisions of the same analysis. See what appeared, what disappeared, and what changed value, such as a severity, a rate, or a status.

The record

Every finding, and every decision, on the record.

Each finding keeps the quotes code checked, the engineer's decision, and the reason for any change or rejection.

  • Decisions that stay. Confirm, confirm with changes, or reject with a written reason. A later run never erases a decision, and one it no longer raises is still listed.
  • A hazard log. One row per hazard, read from your documents.
Review record
Must fixConfirmed
HL-001 is Catastrophic in the FHA but Hazardous in the SSA

Both quotes found in their documents.

Should fixConfirmed with changes
SR-001 has no verification activity

ReasonVerified by analysis in VA-04, so the finding is narrowed to the missing flight test.

Should fixRejected
FM-14 has no compensating provision

ReasonThe provision is in FMECA rev C, which was not loaded.

Illustrative, synthetic example data

Where the AI is

AI reads and reviews. Your engineer decides.

01 Reading is AI, and it shows its work In a spreadsheet, the AI works out what each column means, and code reads every row. The AI reads prose, PDF tables, and figures. Each item it finds keeps the exact quote it came from, and code checks that the quote is in your document. The AI flags anything it is less sure of for an engineer to review.
02 You lock the graph You can see and correct each AI judgment, such as how a table's columns were read or what a figure says. After your engineer reviews the flagged items, the graph is the record.
03 The review proposes, code checks, you decide An AI review reads every document and raises findings. Code checks that each quote is in the document it cites, and that each ID is where the finding says. A finding that fails goes to a separate unverified list. No finding goes into the report or the export until an engineer confirms it. Every decision is kept, and a rejection keeps its reason.

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. For that, Adducia runs in your own cloud tenant or on your own hardware. There is no telemetry, and nothing is used to train models. Anything we show in public uses synthetic data that is clearly labeled.

Read about trust & security →

Next step

Want to see it on your documents?

Send us one safety document under NDA before a 30-minute call. We run Adducia on it before the call. On the call, we walk you through the findings, and you keep them.

Get in touch