Document review for high-stakes decisions

From dossier to decision.

Deep Proof reviews data rooms, credit files and complex proposals against your own criteria. Every finding comes with the evidence behind it, so your team can inspect it, challenge it and make the call.

  • Open-Source under GPL-3.0
  • Swiss company: Outfinity SARL
  • Runs in the environment you choose
  • Commercial service: we make your AI Review Skills bulletproof
Deep Proof / an introduction
01 / 05
The decision in front of you

Invest, lend or walk away?
The answer is buried in 400 pages.

✦New project•••

Northline
Acquisition

Decision
Proceed to IC?
Project type
Private equity
Owner
Investment team
+ Set review criteria
Project setup
01 /

Deep Proof, in practice

Complex documents need more than a prompt.

Create a project, add its documents, and review them against the criteria that matter. Deep Proof produces clear findings, a decision memo and the questions worth asking, with the evidence beside every claim.

A different kind of assistance

A chat is useful.

A proper review needs a method.

General-purpose chat01

Drop files in. Ask a question.

  • One-off answers vary with each prompt
  • Method and assumptions stay implicit
  • Hard to test, compare or govern
  • Sources may be cited, but gaps are not checked systematically

ChatGPT and Claude are powerful starting points. On their own, they do not create a review process tailored to your standards.

Deep Proof02

Define the method. Then apply it.

  • Validated AI Review Skills turn expertise into a repeatable workflow
  • Every criterion has clear instructions and verification
  • Evidence, gaps and uncertainty are explicit
  • Results stay reviewable by your team

Use your own AI subscription or a custom deployment designed around your privacy requirements.

The work behind reliable output

AI Review Skills are where the proof begins.

A Deep Proof AI Review Skill is not a prompt template. It is a prepared and validated analysis capability, calibrated for a particular company, project type and use case.

AI Review Skill file / instructions
# Revenue quality review Assess concentration across customers and channels. Flag any dependency above the approved threshold. Cite every conclusion. # Report uncertainty When sources disagree, show the conflict.

We help companies prepare, validate and calibrate their AI Review Skills. Your team brings the judgement and domain knowledge. We shape a dependable analysis system around it.

Plan an AI Review Skills workshop
02 /

Every review, structured

See the full picture. Interrogate every part.

Your standards. Your access rules.

Set the frame.
Keep it under control.

Administrators manage users, project types and access by project type. Each review type can have its own editable criteria and playbook. Start with plain language, let Deep Proof draft a first structure, then refine it before use.

03 /

Security & data handling

Confidential files stay where you decide.

Data rooms and credit files are sensitive by nature. These are the answers your security team will ask for first.

You choose where it runs

The platform is open source. You can run it in your own infrastructure, or we agree a deployment with you around your privacy requirements.

You choose the AI provider

Use your own AI subscription, under the terms you already have with that provider, or a custom model deployment.

You control who sees what

Administrators manage users and grant access by project type, including restricted viewers for sensitive reviews.

You can inspect the code

The Community Edition is published under GPL-3.0. Your engineers can review exactly how documents are processed.

Read the security overview

Built for document-intensive decisions

Open-Source, deliberately practical

The platform is open. The method is yours.

Deep Proof Community Edition is open source. You can inspect, extend and run the platform in the environment that suits your organisation. The commercial work is making its analytical AI Review Skills dependable in your real setting.

Questions we hear first

Before you book a call.

How is this different from uploading files to ChatGPT or Claude?

A chat answers the question you typed. Deep Proof applies a defined review method: the same criteria, instructions and checks every time, with evidence, gaps and uncertainty recorded for each criterion. The method can be tested, versioned and governed like any other part of your process.

Which AI models does Deep Proof use?

You can connect your own AI subscription, under the terms you already have with that provider, or use a custom deployment designed around your privacy requirements. The choice is made per organisation during scoping.

Where do our documents go?

That depends on the deployment you choose. When you run the platform in your own infrastructure, documents are stored there and text is only sent to the AI provider you configure. The security overview explains the options.

Does Deep Proof make the decision?

No. Deep Proof makes its reasoning inspectable: findings, citations, contradictions and open questions. Your team reads the reasoning and makes the call.

What is free and what is paid?

The Community Edition platform is open source under GPL-3.0. The commercial work is preparing, validating and calibrating AI Review Skills for your use case, and supporting the implementation. See licensing for details.

Who is behind Deep Proof?

Deep Proof is developed by Outfinity SARL, a Swiss company that trades as Outfinity Venture Studio. The platform was implemented together with our associated company, Axiologic Research. More about us.

Let’s work together

Let’s make AI work for your team, not decide for it.

AI should prepare your decisions, not make them on autopilot. In a first conversation we map your project, estimate the work needed to prepare its AI Review Skills and show you how Deep Proof fits your team.

Deep Proof / project conversation

Discuss your use case.

Tell us what decision you need to prepare. When you send the form, your email application opens with the message drafted to us. Nothing is stored on this website.

Or write to us directly: . See our privacy notice.