Independent architecture, security, and scalability review of an AI product — for founders and investors.
Before you invest, acquire, or scale, know what is really under the hood. We review the architecture, security posture, AI and agent design, and scalability of a product and report clearly on strengths, risks, and what it will take to fix them.
Assess the system design, data flows, and key technical decisions.
Evaluate security posture and how safely any AI or agent components are built.
Identify what breaks at scale and what it costs to address.
Work through the architecture, data flows, and the technical decisions that are expensive to reverse.
Assess the security posture, and how safely any AI or agent components handle permissions, untrusted input, and failure.
Identify what breaks at scale, when it breaks, and what it costs to move that ceiling.
Strengths, risks, and remediation effort — written to be read by the people making the decision, not only by engineers.
Both, and the work is the same. An investor is sizing technical risk before committing. A founder is finding the problems before someone else does, which is a considerably cheaper time to find them.
One to two weeks, given read access to the codebase and infrastructure and an hour or two with whoever built it. Knowing which decision the review is feeding matters too — a report written to answer your actual question is more useful than a general audit.
Yes, deliberately. Strengths, risks, and what remediation would cost are written for the people making the decision; the engineering detail is there for the team who would do the fixing. A risk nobody outside the codebase can understand does not get priced into the decision.
A due-diligence report, a risk register ordered by what each item would cost you, and a prioritised remediation roadmap with effort estimates.