How Ventures.eu Evaluates Deep-Tech Startups

Ventures.eu evaluates every deep-tech startup against four criteria: Team, Traction, Tech, and TAM. What makes the framework repeatable rather than a judgment call is the fourth layer underneath Tech and TAM: our corporate partner network independently validates both whether the technology works and whether anyone wants it, before we commit capital.

This is the actual process we run, not a summary of our values. Institutional investors doing diligence on the fund can use this page as a reference for how decisions get made.

Why Deep-Tech Is Harder to Evaluate Than Consumer Tech

Consumer tech is easy to pressure-test. Ship it, watch usage, iterate. Deep-tech doesn’t work that way, for three specific reasons.

The technology itself is often non-obvious. Unlike a consumer app or an HR-tech tool, where a partner can form an opinion in a demo, deep-tech IP frequently takes years to build and cannot be evaluated by inspection alone. A partner without a PhD-level grasp of the underlying science has no reliable way to tell working technology from a compelling story.

Time to market is longer, and the results are less immediate. Revenue, retention, and growth curves, the usual venture signals, show up late in deep-tech, if at all before Series A. Evaluating on those signals alone systematically misses the startups worth backing.

Team depth matters differently. In consumer tech, a strong generalist founder can often out-execute a better-funded competitor. In deep-tech, the team has to be able to defend IP that took years to create against people who understand it as well as they do. That is a different bar, and it is not visible in a pitch deck.

The Ventures.eu Framework: Team, Traction, Tech, and TAM

Team. Do the founders have the technical depth to defend and extend IP that took years to build, not just the ability to explain it well to non-experts.

Traction. For deep-tech, this rarely means revenue yet. It means design partners, pilot data, or published validation that holds up outside a controlled environment.

Tech and TAM, validated together. This is where our process differs from a standard three-criteria model. We don’t self-certify hard science, and we don’t take total addressable market slides at face value. Both get routed through our corporate partner network before an investment decision is made.

How Corporate Matchmaking Feeds Into Evaluation

Ventures.eu runs its deep-tech matchmaking through the same corporate partner network that already validates dealflow across the wider Dealflow.eu ecosystem. When we bring a startup to a corporate partner, we’re asking two separate questions at once: does this technology actually do what the founders claim, assessed by people who run equivalent technology in production, and is there real commercial demand for it, assessed by the buyers who would actually license, pilot, or acquire it.

That second answer is the one most evaluation frameworks skip. A technology can be sound and still have no market. Corporate validation compresses what would otherwise take a fund 12 to 18 months of independent diligence into a matter of weeks, because the people confirming demand are the same people who would eventually buy.

What We Pass On, and Why

Our first question to every founder is “why us?” If they can’t answer it, we pass.

Here’s what that looks like in practice. If a medtech startup approaches Ventures.eu, we start from the assumption that every medtech-focused fund in Europe has already seen that deal. Medtech isn’t a sector we have specific expertise in, so if the specialists have already passed, we need a real answer for why we’d say yes when they said no. “You’re the last fund we haven’t tried” is not a reason to invest. It’s a signal to pass.

This filter is what keeps the framework rigorous instead of aspirational. It’s easy to say “we back great teams.” It’s harder to say no to a well-credentialed founder because the deal doesn’t fit the specific validation process we can actually run.

Where This Fits Our Investment Thesis

Ventures.eu invests at Seed and Series A, with ticket sizes between €200,000 and €2,000,000, across Climate-tech, Hardware, ICT, Cybersecurity, and AI. The portfolio is split roughly 60% Portugal and 40% the rest of Europe. The evaluation framework above is what determines which deals inside that thesis get a term sheet and which get a clear, specific no.