AI Audit & Due Diligence

We tell you whether a target's technology and AI can really deliver, before you invest. Run by engineers who build production AI, not analysts.

Trusted by

BlackfinPwCIsai
What we assess

The whole stack, deepest on the AI

Six areas, one report. Every claim checked against the code, the data, and the team.

01

AI and data

Is the AI real, or a thin wrapper around a model someone else trained? We check what the models actually do, where the data comes from and whether the rights to use it are clean, how defensible the AI is, and whether the roadmap can be built.

02

Architecture and scalability

Will the platform hold as the business grows, or does scale mean a rewrite? We map the architecture, the real bottlenecks, and the cost of keeping it running.

03

Code and engineering practices

We read the actual code, not just the diagrams: quality, test coverage, security hygiene, and how cleanly the team ships and reviews changes.

04

Security and compliance

How customer data is handled, the security posture, and the gaps (GDPR, SOC 2, data residency) that can stall a deal or surface after close.

05

Team and delivery

Who actually builds the product, whether the team can deliver the plan you are underwriting, and where the key-person risk sits.

06

Product and roadmap

How mature the product really is, how it holds up against competitors, and what it will actually take to hit the plan.

How it works

Scope, deep review, readout

3 days to 3 weeks
01

Scope

We align on your thesis and the questions that actually matter, then lock the scope and data-room access.

02

Deep review

We work through the data room, the code, and the architecture, run the AI and security checks, and sit down with the CTO and key engineers.

03

Report and readout

You get a written report and a live readout: an executive summary, a scorecard, risks ranked by severity, and a value-creation view.

Most audits run from 3 to 4 days for a focused read to 2 to 3 weeks for a full review, depending on scope and deadline.

Deliverables

What lands on your desk

A report your committee can act on, not a slide deck.

Executive summary

A one-page read for the investment committee, focused on what actually affects the decision.

Scorecard

Every area rated from solid to needs-work, so the picture is clear at a glance.

Risk register

Risks ranked by severity, each with its business impact and what it takes to fix.

AI assessment

A straight read on the AI: what is real, what is a wrapper, and how defensible it is.

Value-creation plan

The AI and engineering moves worth making after the deal closes.

Why Moqa

Run by people who build AI for a living

Built by builders

Your audit is run by engineers who ship AI in production, not analysts who have only read about it.

AI-native depth

Multi-agent systems, RAG, LLM evaluation, and the data layer underneath. We know exactly where modern AI breaks.

Fast and senior

Founder-led, from 3 to 4 days to 2 to 3 weeks depending on scope, with straight answers your committee can act on.

Case study

The fund that came back

BlackfinDue diligence

We run Blackfin’s technical due diligence on fintech targets, each deal inside a short window. We review the data rooms, the architecture, and the code, test each AI and data-layer thesis, and run deep-dive sessions with the CTOs. Every deal gets a written technical opinion: the moat, the risks, and their severity, in time for the decision.

FAQ

Questions from funds

How long does an audit take?

From 3 to 4 days for a focused read to 2 to 3 weeks for a full audit, depending on scope and deadline.

What access do you need?

A data room, read access to the codebase, and time with the CTO and a few engineers.

What is in the report?

An executive summary for the committee, a scorecard, a risk register ranked by severity, a straight read on the AI, and a value-creation view.

Can you assess early-stage or pre-revenue AI startups?

Yes. With early-stage companies we focus on whether the team and the AI can deliver the thesis, not just on what is already shipped.

Do you only look at AI?

No. We cover the whole stack: architecture, code, security, team, and product. The AI is just where we go deepest.

Can you help after the deal?

Yes. We can scope the value-creation work and build the AI systems we recommend.

Before you commit

Get a clear read before the deal closes

A 30-minute scoping call: your thesis, the target, and whether an audit fits. No obligation.

  • 30 minutes
  • You leave knowing what to build
Augustin Abelé, co-founderRobin Champsaur, co-founder

You'll talk directly to Augustin or Robin, the co-founders.

Let's talk about your project

Pick a slot below. 30 minutes with a founder, no obligation.

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