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AI

Answers pulled straight from your documents

We built Veridex a document-intelligence engine that turns piles of messy files into structured, cited answers — so teams stop searching and start trusting.

Veridex — Answers pulled straight from your documents
Client
Veridex
Timeline
15 weeks
Our role
AI engineering, RAG, product
Platforms
Web app, API, Integrations

Overview

The answer exists — buried in ten thousand files

Veridex's users had the information they needed, somewhere, across contracts, PDFs, and scanned pages. Finding it meant hours of manual search, and generic AI tools answered confidently but without proof.

Highlights

  • Retrieval over messy, mixed-format document sets
  • Every answer cited back to the exact source passage
  • Structured extraction from unstructured files
  • Evals that keep answers honest as content grows

Impact

94%

Answer accuracy

-85%

Time to find an answer

100%

Answers with citations

1M+

Documents indexed

01

The challenge

In document intelligence, an uncited answer is worthless — teams need to verify it. The system had to handle messy formats, scale to millions of files, and prove every claim it made.

02

Our approach

We built a retrieval pipeline with layout-aware parsing, grounded every answer in cited passages, added structured extraction, and tied an eval suite to real user questions.

03

The outcome

Veridex users get accurate, cited answers in seconds instead of hours — and because every claim links to its source, they can trust the system enough to act on it.

What we built

The pieces that made it work

Document RAG

Retrieval over mixed formats, including scanned files.

Citations

Every answer links to the exact passage it came from.

Extraction

Structured fields pulled from unstructured documents.

Eval suite

Continuous scoring keeps accuracy from drifting.

Integrations

Connect existing document stores in minutes.

Access control

Answers respect who's allowed to see what.

Under the hood

ClaudeRAGpgvectorOCRNext.jsTypeScriptPythonPostgreSQLEvals
The citations are what sold our team. It's not a black box — we can check every answer in one click.
Tomas Ligeti, VP Product· Veridex

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