What we do

Technical expertise for investment firms — in the office or inside the portfolio. Every engagement is scoped to your firm, your timeline, and the decision in front of you.

Technical Due Diligence

An independent assessment of the technical value of a company before investment or acquisition — code, cloud, security, IP, AI claims, and team dependency.

AI & Data Platform Assessment

Verification of AI claims, data ownership, model architecture, telemetry, inference costs, and genuine capability vs marketing.

Technology Risk Review

Rapid technical screening for investors evaluating software, SaaS, healthcare, AI, or venture-backed companies.

Fractional CTO Advisory

Ongoing technical counsel for investment firms, deal teams, portfolio companies, and founders who need senior technology judgement.

Technical due diligence: what we assess

When the engagement is a due diligence review, this is what it covers.

Code Quality & Technical Debt

How well the software is built, where the debt sits, and what it would cost to fix — in terms a deal team can use.

Security

Vulnerabilities, data handling, access control, and the security practices behind the product.

AI Capability Verification

Whether AI claims are real — model architecture, training data, inference costs, telemetry, and genuine capability vs marketing.

Team & Key-Person Risk

Bus factor, knowledge concentration, documentation, and how dependent the technology is on individual people.

Scalability & Cloud Cost

Whether the architecture supports the growth plan, and how cloud spend behaves as the business scales.

Commercial Defensibility

Whether the technology genuinely supports the story being sold — differentiation, IP, data, and platform risk.

Intellectual property & code ownership

In a software deal, the intellectual property is the asset. Every due diligence engagement checks whether the company owns what it is selling — and whether anything in the codebase could undermine the IP position after completion.

Code ownership & IP assignment

Whether contractors, employees, and past collaborators have properly assigned their intellectual property — so the company actually owns the code it depends on.

Open-source licence compliance

Which open-source licences sit in the codebase, and whether copyleft obligations (GPL, AGPL) create disclosure or commercial risk.

Third-party & AI-generated code

The provenance of third-party components and AI-generated code, and whether their terms are compatible with how the software is licensed and sold.

Evidence for IP warranties

Findings lawyers and deal teams can use to support IP warranties, indemnities, and disclosure before transaction terms are finalised.

How it works

A structured process designed for quick turnaround and confidential timelines, whether the engagement is a one-off review or an ongoing role.

01
Agree the scope
We agree the reason for the engagement, the timeline, and the access required — whether that is a focused review, an embedded role, or ongoing portfolio support.
02
Get into the detail
We inspect the code, architecture, cloud setup, security posture, AI claims, documentation, team dependency, and delivery process — or work directly alongside your team.
03
Explain what it means
We translate technical and AI evidence into plain-English findings: what is solid, what is fragile, what needs fixing, and what could affect value.
04
Report and next steps
You receive a concise report and briefing, or an ongoing working relationship, so your team knows what to do next.

Frequently asked questions

Before you invest, acquire, or build — get clarity first.

Book a confidential call to discuss your firm, your portfolio, and where technical expertise would help.

Book a call