Deep tech inverts the usual order. In software you find a market and then build; here you retire a physics or biology risk first, and only then discover whether anyone will pay. That inversion is why generalist funds struggle with it, why the timelines are longer, and why the investors who do this well look and behave differently from the rest of venture.
Reviewed 2024 and 2025
The resilience number is the interesting one. European deep tech funding fell only about 28% from its 2021 peak while overall European tech venture fell roughly 60%, which is the opposite of what most founders assume about hard technology in a downturn. Deep tech is now the largest single category in European venture by funding, with the UK, France and Germany the largest markets at roughly $4.2bn, $3.0bn and $2.7bn.
A fund tagged "deep tech" sits in one of four columns. What separates them is how much technical risk they will take before there is a working device, and whether they can fund the capital equipment that follows.
| Semiconductors & photonics | Advanced materials & manufacturing | Quantum & computing | Robotics & automation | |
|---|---|---|---|---|
| Typical entry stage | Seed, often out of a university lab | Seed to Series A | Seed, sometimes pre-publication | Seed to Series A |
| Cheque shape | Venture plus grants and tape-out costs | Venture, then project finance for a plant | Venture plus public and sovereign money | Venture, with capital for units |
| Wants to see | Working silicon or a credible tape-out plan | Performance at lab scale and a costed route to volume | A benchmark others can reproduce | A deployed pilot with a paying operator |
| Time to revenue | 3-6 years | 4-8 years | 5-10 years, if at all | 2-4 years |
| Biggest risk they underwrite | Yield, and an incumbent shipping first | That it cannot be made at scale or at cost | The science does not reach usefulness | Unit economics once you build real hardware |
| Who else must be in the round | A strategic foundry or chip partner | Industrial strategics and eventually infrastructure capital | Government and sovereign programmes | An industrial operator as first customer |
Deep tech investors we hold in the Causo catalogue, grouped by the cheque they actually write. Open any of them to see the partners, the stage and the recent deals. This is not every deep tech investor in the market, and no catalogue is.
Firms built for technical risk, several attached to labs or hardware accelerators.
Firms that will fund science before there is a device, several with university pipelines.
Firms that lead once the physics works and the question becomes manufacturing and cost.
Industrial balance sheets whose parent is a plausible manufacturer, supplier or first customer.
The gates that are specific to this sector, and that a generalist fundraising guide will not tell you about.
One worked example of what reading those sources produces, from the Causo catalogue with the identity removed.
A European fund whose mandate is technically hard companies rather than a named vertical, with a record spanning semiconductors, advanced materials and industrial software. Entry is at seed and Series A, and the portfolio pattern suggests a preference for university and research-institute origins.
Deep tech specialists include IQ Capital, HAX, OTB Ventures, MFV Partners, Elaia Partners and Pathbreaker Ventures, with ARCH Venture Partners and Breakthrough Energy Ventures active at the science-heavy end. Industrial corporate arms including Intel Capital, Qualcomm Ventures, Bosch Ventures, BASF Venture Capital and Airbus Ventures invest strategically and often become customers.
In Europe it is now the single largest venture category by funding, taking a record 28% of all European VC. About €15bn went into European deep tech in 2024, and the UK, France and Germany were the largest markets at roughly $4.2bn, $3.0bn and $2.7bn respectively.
No, and this surprises most founders. European deep tech funding fell about 28% from its 2021 peak while overall European tech venture fell roughly 60%. Long-horizon technical investment proved considerably more resilient through the downturn than software did.
Almost by definition. The model assumes years between first cheque and first revenue, with milestones defined by technical progress rather than sales. What they will not fund is unresolved science with no experiment that would settle it and no cost path if it works.
By combining sources. Venture equity funds the team and the technical milestones, non-dilutive grants and sovereign programmes fund research, and project or debt finance funds plant and equipment once the technology is proven. Founders who plan only for equity usually run into a wall at exactly the point the technology starts working.
Often yes, because the parent is frequently your first customer, your manufacturing partner or your eventual acquirer, and that validation is hard to get elsewhere. The things to negotiate carefully are exclusivity, rights of first refusal and anything that would deter a competing strategic from working with you later.