Investment Support

Technical Diligence for AI Hardware Infrastructure, Robotics-Adjacent Systems, and Developer Platforms.

I help investors and operators evaluate whether a systems-heavy company has credible architecture, infrastructure economics, delivery capacity, and technical differentiation.

Who It Is For

VC firms, angels, venture studios, and strategic operators evaluating technical companies in hardware, infrastructure, AI, robotics, or developer tooling.

First Step

Share the deck, technical materials, and diligence timeline. I will focus on the parts where domain judgment changes the decision.

Start a Conversation

Problems I Can Help Clarify

The pitch depends on GPU economics, edge deployment, infrastructure automation, or technical claims that need domain review.

The team looks strong, but the architecture and operating assumptions need a second pass.

Market excitement is outrunning the practical cost, reliability, and delivery questions.

Example Engagements

Review architecture, roadmap, hiring plan, and infrastructure assumptions before investment or partnership.

Assess whether demo capabilities map to durable product and operational advantage.

Interview technical leadership and summarize strengths, risks, and follow-up questions.

Likely Deliverables

Diligence MemoTechnical Risk MapQuestion SetInfrastructure Cost Realism Review