Know what you're really investing in
Every target now claims to be AI-powered. Our architects give investors and acquirers an independent, evidence-based view of the AI behind the pitch, typically within two weeks.
Venture capital, private equity, corporate development teams and boards evaluating an AI company or an AI-heavy acquisition.
Six categories, weighted by what drives value
AI Model & Algorithm
25%Technical innovation, model sophistication and real differentiation, or a thin wrapper around someone else's model.
Technical Architecture
20%System design, scalability, engineering practice and inference cost at scale.
Team Capabilities
15%Technical expertise, domain knowledge, delivery track record and key-person risk.
Data Strategy
15%Data quality, access, rights to training data and compliance.
Risk Assessment
15%Technical, operational, security and regulatory risk, including model-provider dependency and EU AI Act exposure.
Technology Roadmap
10%Clarity of milestones, realism of plans and resource allocation.
Four stages, about two weeks
Initial assessment
2–3 days
Documentation and architecture review, first team interviews. Deliverables: initial report, red flags, scope for the deep dive.
Deep dive
1 week
Code review and testing, data pipeline assessment, technical interviews, competitive and performance benchmarking.
Risk analysis
2–3 days
Scenario modelling, scalability stress testing, regulatory and security review. Deliverables: risk matrix, mitigations, compliance gaps.
Final report
1–2 days
Executive summary, investment recommendation, presentation and Q&A with the investment committee.
Evidence for the investment committee
- A weighted scorecard across all six categories
- The full due diligence report and an executive presentation
- An investment recommendation
- A 100-day remediation plan for after the deal
About two weeks, under NDA, with direct access to the target's technical team.
AI Enablement
Find the use cases worth doing, build the platform to run them, and get your people using it.
AI-native SDLC
Purpose-built AI agents for every role in delivery: BA, PM, developer and QA.
AI Governance & Compliance
Controls that satisfy regulators and auditors without slowing delivery down.
AI Architecture & Delivery
Agents, integrations and MVPs, designed by architects and built to last.
Planning your next AI move?
Thirty minutes with one of our architects. No sales script.