For deep-tech founders
The evidence framework investors will hold you against, and the document suite you need to pass it. Built from your evidence. Not from templates.
The problem
SaaS founders have ARR, cohort retention, CAC payback. They walk into a generalist VC meeting speaking a shared language. You do not. You have lab results, regulatory milestones, pilot data, granted IP, and a technology whose core risk is whether the thing can be built at all — not whether you can sell it.
Generalist VCs do not understand the technology. The meeting spends forty minutes on mechanics before you reach the business.
Specialist deep-tech VCs understand it, but they are scarce and they move slowly. Cycles are measured in quarters, not weeks.
Your evidence is not commercial traction. It is pilot data, grant milestones, pilot customer LOIs, IP grants. The standard fundraise documents do not frame that evidence well.
Pitch agencies and fractional CFOs produce documents. They cannot produce the technical dossier — and that is the document every serious deep-tech investor asks for.
Scope of "deep tech" here
Companies whose technology introduces novel scientific or engineering risk, not just execution risk. Biomaterials with new chemistry. Neuromorphic architectures. Novel drug modalities. Hardware systems where the physics is the uncertainty. Advanced materials, quantum systems, fusion, space propulsion, climate tech with new science underneath.
If the open question about your company is whether the thing can be built at all — and not only whether you can sell it — you are in scope. If your core advantage is distribution or UX on top of settled technology, you are building a different kind of company and this is not the right fit.
The path
We start with a Public-Source DD on your company — the same product investors commission on you, before they engage. Then we run a Confidential-Source DD on the confidential materials, the same depth their own DD will reach. You see both reports before you walk into a room with anyone.
Below: Urban Forests, a fictional deep-tech company closely modelled on a real one, assessed twice. The company is fictional. The type of content is not.
The framework
Thirty-seven dimensions. Five evidence levels. Six readiness gates. Seven valuation methods. Five hundred tarpit patterns. Your Suite is built from an assessment that runs the exact framework investor-facing products use — which means the gaps visible to an investor are visible to you first, and the documents address them directly.
See the investor view →A Public-Source DD on your own company shows what is visible from the outside — the same product investors commission on you. It seeds the evidence base for everything else.