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AI that understands your industry's documents.

Custom extraction, classification and search for contracts, reports, claims and records.

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  • 48–72 HOURS
  • TOP 3% ENGINEERS
  • 100% REPLACEMENT
01 · WHAT WE DO

What we do.

  • Clause and entity extraction tuned to your documents

    parties, dates, amounts, obligations, renewal terms, claim fields and anything else your team keys in by hand.

  • Document classification and routing

    identify what each file is and send it to the right queue, person or system.

  • Semantic search and question answering with citations

    ask a question across thousands of files and get an answer that points to the exact passage.

  • Evaluation on your own labelled samples

    accuracy measured on your documents, reported by field and document type, not on a public benchmark.

  • Private deployment options for sensitive data

    run inside your cloud account or on your own infrastructure when documents cannot leave.

02 · HOW WE WORK

How we work.

We start by collecting a representative sample of your documents and agreeing, with your reviewers, what a correct answer looks like. We label a test set first, before building anything, so we can score every approach honestly, including a general tool as the baseline. Then we build the simplest thing that clears your bar, add human review for low-confidence cases, and connect results to your systems. After launch we track accuracy on real traffic and retrain when the documents change.

03 · WHO THIS IS FOR

Who this is for.

  • Legal and contract teams who review the same clause types again and again.

  • Insurance, claims and operations teams sorting and keying in large volumes of mixed documents.

  • Compliance and risk teams who need to find specific terms across a large archive.

  • Companies whose data cannot go to a public AI service, for contractual or regulatory reasons.

  • Teams that tried a general tool, got good-looking but unreliable output, and need numbers they can defend.

04 · WHAT YOU GET

What you get.

  • A labelled evaluation set built with your reviewers, and a written definition of each field and category.

  • A baseline score from a general tool, so you can see what customisation adds.

  • A working extraction, classification or search system, deployed where you need it.

  • A review interface or queue for low-confidence cases, with corrections stored for retraining.

  • Integrations to your document store, case system or workflow tool.

  • An accuracy report by field and document type, and a monitoring set-up.

  • Documentation and training for your team.

  • Top 3% of applicants
  • Start in 48–72 hours
  • Dedicated account manager
  • 100% replacement guarantee
05 · TYPICAL TIMELINE

Typical timeline.

Narrow projects, such as one document type, can move faster.

  1. 01

    Weeks 1 to 2

    document sampling, field and category definitions, labelling of the test set, baseline testing.

  2. 02

    Weeks 3 to 6

    model and pipeline build, tuning against the test set, review workflow.

  3. 03

    Weeks 6 to 8

    integration, pilot on live documents with human review.

  4. 04

    Weeks 8 to 10

    rollout, monitoring, handover.

PROOF

Proof

150+ developers deployed, and about 3% of applicants pass our 4-gate vetting. Your engineer can be in your standup in 72 hours, and our replacement guarantee is 100%.

FAQ

Questions buyers ask.

Straight answers, before the first call. Ask us something else →

You might be able to. We recommend testing that first. If a general tool clears your accuracy bar on your documents, use it. We build custom only when the test shows a gap or when data cannot leave your environment.

KEEP EXPLORING

LET'S TALK. Start now.

Tell us what you're building. We'll come back with a plan and matched, pre-vetted engineers.

CONTACT