Answers pulled straight from your documents
Veridex turns a company's sprawl of contracts, reports and wikis into answers you can trust - each one cited back to the source. We built the retrieval, extraction and evaluation so teams stop hunting through files and start asking questions.
Client
Veridex
Timeline
12-week build
Our role
AI engineering, search, full-stack
Platforms
Web app, REST API, Slack app
A search box people didn't trust
Every company sits on thousands of documents nobody has time to read. Veridex makes that pile answerable: ask a question in plain language and get a grounded response with citations you can click. The challenge was never the chat box - it was making the answers accurate enough that people would rely on them for real decisions.
80%
Less manual review
vs. reading by hand
<1s
Answer latency
cited to source
10k+
Docs per workspace
indexed and searchable
96%
Citation accuracy
measured on evals
A search box people didn't trust
Teams were drowning in PDFs, contracts and wikis, and keyword search only found documents, not answers. Early AI attempts sounded confident but cited nothing, so nobody trusted them for anything that mattered. Veridex needed answers grounded in the source, with a citation for every claim.
Retrieve, extract, then prove it
We built structured extraction over messy files, retrieval that pulls the right passages, and an answer layer that must cite its sources or say it can't answer. An evaluation harness scores citation accuracy on every change, so quality is a number the team ships against - not a hunch.
A knowledge base that answers back
Veridex now answers questions across tens of thousands of documents in under a second, each response cited to the exact passage. Teams stopped hunting through folders, and analysts trust the answers because they can verify every one in a click.
Inside the platform
Cited answers
Every response links back to the exact passage it came from, so any claim can be verified in a click.
Structured extraction
Messy PDFs, contracts and scans become clean, queryable data the model can reason over.
Semantic search
Retrieval finds the right passage by meaning, not just matching keywords.
Evaluation harness
Citation accuracy and answer quality are scored on every change, catching regressions early.
Permission-aware
Answers respect who is allowed to see what, so sensitive documents stay scoped.
Drops into your tools
A web app, an API and a Slack app so answers show up where the work already happens.
Built with
AI
Search
Application
“Veridex went from a neat demo to something our analysts open every day. The citations are what won them over.”
Services behind this work
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