AI Due Diligence Services

Expert due diligence to evaluate the real-world viability, scalability, and risks of AI technologies before you invest or acquire.

Technical Due Diligence for AI That Goes Beyond the Hype.

If you're evaluating a startup or acquisition target claiming to use AI or machine learning, it's vital to understand what’s behind the buzzwords. Our AI and machine learning due diligence service is designed to give you a grounded, independent view of a company’s technology. Whether you're an investor, buyer, or corporate partner, we assess the architecture, models, workflows, and people behind the product. You’ll receive clear recommendations and a practical checklist you can integrate into your wider due diligence process.

Who we are

What We Look For During AI Due Diligence.

Our process is structured to assess both the technical depth and commercial feasibility of AI systems. From verifying whether a product is more than a proof-of-concept to understanding how data is collected, trained, and managed, we analyse the tech stack end to end. We explore version control, licensing, team composition, infrastructure scalability, and more. The goal is to uncover any red flags early and identify the real opportunities, and risks, behind the technology.

Scale

We evaluate whether the AI system can handle real-world scale beyond the demo environment

Build

We check if the development processes and workflows are maintainable over time, even with team changes

Repeat

Can results be reproduced consistently across tests and teams

Track

Is the code, data, and model history clearly documented and versioned
Core values

Key Focus Areas

Research with laptops.

Independence

We’re not aligned with vendors or hype, our only interest is giving you a clear, unbiased view of the AI tech you're assessing.

A note pad showing design process.

Clarity

We cut through technical jargon and provide clear, actionable insights for investors, boards, and M&A teams.

A team developing software.

Practicality

We focus on what matters: whether the AI works in the real world, not just in ideal conditions or pitch decks.

Got a project in mind?