We evaluate architecture quality, operational risk, data exposure, cost sustainability, and regulatory posture. Whether you are acquiring a company, raising capital, or just want to know if your AI actually works.
AI is increasingly central to company valuations, product differentiation, and operational capability — but most AI systems are opaque even to the teams that built them. There is no standardised way to assess whether an AI system is well-built, cost-sustainable, regulation-ready, or genuinely delivering value.
Acquisition targets claiming "AI-powered" products that are really just thin wrappers around API calls
No evaluation frameworks to prove AI features actually work as claimed
LLM cost profiles that look manageable at current scale but will explode with growth
Regulatory exposure that nobody has assessed — particularly under the EU AI Act
Engineering teams who have built AI features fast without governance, testing, or documentation
Is the system well-designed? Are there single points of failure? Is the orchestration sound?
Does the AI actually perform as claimed? We build or review evaluation frameworks and run independent quality assessments.
What does this system cost to run today, and what will it cost at 10x scale? Are there optimisation opportunities?
How is data sourced, stored, and used? Are there PII risks, licensing issues, or data quality problems?
What are the compliance obligations under EU AI Act, GDPR, and sector-specific regulation? Are they being met?
Does the team have the capability to maintain and evolve the system?
Prioritised list of technical, commercial, and regulatory risks with remediation recommendations.
Typically 2–3 weeks end-to-end.
Define assessment scope, access requirements, and key questions.
Codebase review, architecture assessment, evaluation testing, cost modelling, regulatory analysis.
Detailed written report with findings, risk ratings, and recommendations. Presented to stakeholders with Q&A.
Acquirers evaluating a target company’s AI capabilities and risks before closing
Investors (VCs, PE) conducting technical due diligence on AI-centric companies
Boards who want an independent assessment of their company’s AI systems
Engineering leaders who want an honest external review of what their team has built
Companies preparing for investment or exit who want to de-risk their AI systems before scrutiny
Whether you are evaluating an acquisition target, preparing for investment, or want to know the truth about your own AI — we will give you an objective, technically grounded assessment.