Deep Science Ventures

www.deepscienceventures.com

VCMatch tracks Deep Science Ventures as an investor focused on Agtech, Climate/Cleantech, and AI/ML companies, Pre-Seed and Seed rounds, and Global, UK, and US markets. Upload your deck to compare your startup against the full private matching profile.

Check Size

Not specified

Stages

Pre-Seed, Seed

Focus Areas

Agtech, Climate/Cleantech, AI/ML

Geography

Global, UK, and US

Investment Thesis

Deep Science Ventures (DSV) is a “venture creator, combining available scientific knowledge and founder-type scientists into high-impact ventures.” They take a first-principles, systems-driven approach — using proprietary tools (e.g. the “Outcomes Graph” and a scoping ontology) to identify underperforming sectors, map opportunity areas, and design technology and team roadmaps that deliberately “de-risk” early science into investible companies. DSV explicitly aims to produce companies that deliver both measurable planetary or health impact and financial returns by partnering with industry, government and philanthropy and by investing alongside those partners.

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Investment Focus

Who should take a closer look

Deep Science Ventures is most relevant for founders raising Pre-Seed and Seed rounds in Agtech, Climate/Cleantech, AI/ML, and Data Infrastructure, especially across Global, UK, and US.

Focus statement

DSV focuses on deeptech venture creation across climate and health domains: "Deep Science Ventures is a venture creator building deeptech companies in 4 sectors: Agriculture, Climate, Computation and Pharmaceuticals." They optimise for four outcomes: restorative cultivation, scaling intelligence, the net-zero transition and curative therapeutics.

Value Add

Venture-creator model (not consulting): "Deep Science Ventures is not a consulting firm, we act as an investment firm in our own right, investing along side our partners; leading ideation, talent identification and venture creation using our proprietary tools and processes."
Proprietary outcomes-first tooling: use of an "Outcomes Graph" and a scoping ontology to identify underperforming areas and design routes to impact.
Integrated talent pipeline & training: runs the Venture Science Doctorate (VSD) — a funded PhD that "puts venture at the heart of research" and produces "founder-type scientists" who spin IP into ventures.
De-risking & rapid build cadence: explicit process to "pre-incorporation" test riskiest aspects and produce "de-risked ventures and world-class investors," with companies formed in ~<18 months.
Collaborative, partnership-driven formation: routinely forms multi-stakeholder consortia with corporates, research institutions and national agencies (e.g. SPRIND, ARIA, CGIAR) and co-invests with value-add investors and partners.
Outcome + return optimisation: deliberate dual mandate to "Maximising impact and financial return" — designing ventures to deliver measurable ecological/health outcomes alongside commercial returns.