AI that reads your documents
Every answer cited back to the source.
Turn the PDFs, spreadsheets, specs and email threads your business runs on into structured data and answers you can trust: extraction, review and Q&A, hosted on your own infrastructure.
Brisbane-based engineers. We build and run these systems in production.
Case study · Regulated software vendor
A sprawl of specs, workbooks and email, turned into cited answers and gated submissions.
A software vendor working through a demanding, multi-round conformance program faced a documentation problem: dozens of test scenarios, schemas that change between versions, and reviewer feedback buried in email threads. One stale reference could sink a submission cycle.
We built an agentic knowledge base that ingests every artifact the vendor receives or produces, captions the screenshots, organises it all into isolated knowledge graphs, answers questions with a citation back to the exact source, and verifies each submission against machine-checkable rules before it goes out.
- 100% cited
- Every claim traceable to source
- Hours, not days
- Reviewer-feedback triage turnaround
- 30+
- Conformance scenarios tracked end-to-end
How it works, in plain language
- Step 1
Your documents become a knowledge graph
As it ingests your files, the system maps the things that matter (parties, products, clauses, versions) and how they connect. Even embedded screenshots and diagrams are captioned into searchable text, so nothing load-bearing gets dropped.
- Step 2
Answers and extractions come back cited
Every extracted field and every answer links to the exact source document it came from, so your team can verify in seconds. When the system isn't confident, it flags the gap instead of inventing a value.
- Step 3
It feeds the tools you already use
Structured output lands in your existing systems, and the knowledge base is exposed over a standard connector (MCP) so assistants like Claude and Microsoft Copilot can query it directly, all on your own cloud.
What we build
Document processing pipelines
Invoices, forms, reports and contracts ingested as they arrive, key fields extracted and written into your system of record. Built for volume, with a person reviewing where the stakes demand it.
Extraction and review
Pull the terms, figures and obligations out of long documents, and check documents against rules before they go out. We've built review gates that block a submission until it passes the standard.
Q&A over your document sets
A knowledge base over your manuals, policies and specifications that answers in plain language, cites the exact source document, and admits when the evidence isn't there.
Hosted onshore
Deployed on your own AWS or Azure account in Australian regions, so commercially sensitive documents never leave your environment.
The on-ramp - Start with a two-week Sprint
The fastest way to see this working on your own documents.
- 1
We map your highest-volume document types and where the extracted data needs to land.
- 2
We stand up a working, cited pipeline on a slice of your real documents.
- 3
You finish the two weeks with a clear view of accuracy, effort and ROI before any larger commitment.
Tell us what your documents should be doing.
Tell us about the paperwork that eats your team's time. We'll show you what a cited, onshore document pipeline could do with it.
Our offices
- Brisbane
L2, 303 Coronation Drive
4064, Brisbane, Australia