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technical due diligence consultant

Technical Due Diligence Consultant: investor advisory for AI and SaaS

Technical due diligence tells an investor what a startup's technology is actually worth: architecture quality, scalability, AI defensibility, and the infrastructure costs hiding under the pitch deck. I've spent 3+ years providing independent technology due diligence and expert consulting for investment and business decisions, covering AI products, voice AI economics, cloud infrastructure and SaaS. I'm also a practitioner who builds and operates these systems, so my assessments come from production experience, not analyst reports.

Proof point
3+ years advising investors
A founder sitting back from a laptop at a sunlit desk, visibly relieved after a review came back clean
How you pay

Get it built at $0.

That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.

$0 to start
You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
Fixed cost, unlimited features
Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
The engineer takes your call
The person on your first call is the one who architects and writes it. No account managers, no bench time.

A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.

Process diagram of technical due diligence in five to seven days: time-boxed read-only access, then reviews of architecture and scalability, code quality and security, infrastructure cost, and AI defensibility, ending in a written report of findings, risks and the cost to fix them.
Five reviews in five to seven days, ending in a written report an investment committee can act on.

What does a technical due diligence consultant assess?

Architecture and scalability, reality-checked: will it survive 100x users? AI defensibility: is the 'proprietary AI' a real moat or a thin API wrapper? Unit economics of AI products: inference, voice minutes and cloud spend per user, the numbers founders tend to hand-wave. Engineering org quality: velocity signals, key-person risk, and whether the hiring plan is sane. And post-investment value creation: the same cost-reduction playbook I've run in production, cutting a $200K/year bill by more than 70%, applied to portfolio companies.

How do investors engage a technical due diligence consultant?

One-hour expert calls, the format I've delivered for institutional investors for 3+ years. Written diligence reports on a target's stack in 5 to 7 days. Portfolio advisory retainers with on-call technical judgment across your investments. And sector deep-dives on voice AI pricing, AI hiring tech and cloud cost dynamics.

Pricing

FormatScopePrice
Expert Call1 hour, any covered sector$400/hr
Diligence ReportFull technical DD on one target (5 to 7 days)from $5,000
Portfolio RetainerOn-call technical advisor across portfoliofrom $4,000/mo
Further reading

What should you read before you build it?

FAQ

Common questions.

Straight answers. If yours isn't here, ask on a 20-minute call.

What does technical due diligence cover?+

Architecture, scalability, security posture, AI and data moats, infrastructure cost trajectory, engineering team quality and key-person risk, delivered as a clear verdict with dollar-quantified risks, not a hedge-everything report.

Why use a practitioner instead of a consulting firm?+

Firms send analysts who've read about the systems; I build and run them. When I assess a voice AI startup's claimed unit economics, I compare against my own production numbers, 2.5¢/minute, not a market report.

How much experience do you have as a technical due diligence consultant?+

More than 3 years providing independent technology due diligence and expert consulting for institutional investors and operators, focused on AI products, voice AI, cloud infrastructure and hiring tech. Engaging directly skips the expert-network markup and gets you a practitioner who builds these systems, not an analyst who reads about them.

Ready to talk numbers?

Twenty minutes, straight to the engineer. No sales rep, no deck.