You may be considering making an investment in a startup (your “target”) that claims to use machine learning/AI and would like an impartial assessment of their technology along a practical checklist, or involved in planning a corporate merger. We can perform an evaluation of a company’s technology stack. This should be done in tandem with a traditional due diligence exercise. You can download our AI due diligence checklist.
We have performed a number of AI technical due diligence exercises in different industries. You can read our AI due diligence case studies.
Some of the points we will look at in our technology/machine learning due diligence checklist include:
Once you’ve downloaded the AI/technology due diligence checklist you can read more about how technical due diligence can help you, and how Fast Data Science conducts technical due diligence on AI companies.
Due diligence on AI companies
Read Fast Data Science’s AI due diligence case studies.
Fast Data Science, a leader in AI due diligence, offers specialized services to evaluate the technological integrity of AI-driven companies. Our AI due diligence process is designed to provide investors and businesses with a clear, impartial assessment of a target’s technology stack, ensuring informed decision-making in mergers, acquisitions, or investments.
We go beyond surface-level reviews, examining critical aspects like scalability, data sourcing, and algorithmic robustness. For instance, our bespoke AI due diligence checklist assesses whether a product is a viable solution or merely a demo, identifies cold start issues, and evaluates team expertise to uncover dependencies on key personnel. With experience since 2016, we’ve conducted AI due diligence for clients like private equity firms in the energy sector, analyzing prototypes like computer vision models for machinery defect detection.
Our reports, formatted for investor clarity, integrate seamlessly with legal and accounting due diligence, providing actionable insights. Led by Thomas Wood, with a Cambridge Masters in NLP, Fast Data Science ensures ethical, transparent evaluations, helping clients navigate the complexities of AI investments while mitigating risks like reputational damage or regulatory non-compliance.
Contact us today for AI due diligence help.
What we can do for you