Turning breakthrough research into investable ventures
Combining the patience of a university alongside the commercial discipline of an investor, we created DT Prime specifically for Imperial College London. We work with researchers to turn deep tech and life science innovations into ventures that can scale, aligning the people, data, and strategy needed to attract top-tier capital.
DT Prime is particularly suited for staff-led ventures that require time, technical validation, and strategic support to reach commercial viability. Built around the specific demands of life science and deep tech, DT Prime management works with Imperial’s researchers to provide a combination of non-dilutive funding and tailored support from experienced venture builders.
Every engagement is bespoke, with non-dilutive funding of £50,000–£150,000 in each phase deployed toward clearly defined value inflection points - from generating technical data required by investors and shaping an IP position, to validating market demand or preparing for investor conversations. High-performing teams return for multiple rounds, with cumulative support of up to £500,000.
Available to Imperial College London staff only.
Science and technology focus areas
We support ventures tackling complex, high-value problems where deep science can unlock new markets, reshape industries, and deliver lasting commercial and societal value.
Our focus is on technology domains with strong scientific foundations, meaningful market demand, and significant technical or regulatory barriers to entry. These are areas where progress requires rigorous validation, expert insight, and long-horizon capital and where we are positioned to make a material difference. These include:

Therapeutics and biotechnology platforms
Targeted biologics, gene and cell therapies, mRNA platforms, and immuno-oncology innovations.

MedTech and digital health
Precision diagnostics, digital health tools, surgical robotics, and devices integrating hardware, data, and biology.

Defence and information technology hardware
Photonic and optical computing, quantum computing, neuromorphic systems, and machine-vision AI hardware.

Resilient, low carbon and sustainable technologies
Next-gen energy technologies, green chemistry, sustainable fuels, and advanced water treatment. Includes innovations that improve crop performance, optimise resource use, and strengthen resilience across critical systems.
Through DT Prime, we help translate potential into investable ventures, combining technical depth with targeted funding, hands-on guidance, and structured progression towards opportunities that meet the expectations of top-tier institutional capital.
Our community
DT Prime has been running since January 2022, supporting four cohorts of 6–9 months each. The cohort dates are as follows: Cohort 1: Jan '22 – Jul '22; Cohort 2: Jan '23 – Jul '23; Cohort 3: Nov '23 – Jul '24; Cohort 4: Nov '24 – Jul '25.
Neil Alford
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Neil Alford
Cohorts 2 and 4
Alan Armstrong
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Alan Armstrong
Cohort 1
Andy Ashley
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Andy Ashley
Cohort 1
Laura Barter
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Laura Barter
Cohorts 3 and 4
Andreia Bernardo
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Andreia Bernardo
Cohorts 3 and 4
Rongjun Chen
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Rongjun Chen
Cohorts 2 and 3
Jack Gartside
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Jack Gartside
Cohort 3
Thomas Hall
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Thomas Hall
Cohort 2
Claire Higgins
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Claire Higgins
Cohort 1
Ann Chun Huang
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Ann Chun Huang
Cohort 4
Mark Isalan
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Mark Isalan
Cohorts 1, 2 and 3
Julian Jones
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Julian Jones
Cohort 1
Nick Long
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Nick Long
Cohorts 2, 3 and 4
Harry Low
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Harry Low
Cohorts 1 and 3
Daniel Lucy
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Daniel Lucy
Cohort 3
David Mann
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David Mann
Cohort 1
Rupert Oulton
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Rupert Oulton
Cohorts 1, 3 and 4
David Rueda
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David Rueda
Cohort 4
Mark Runciman
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Mark Runciman
Cohorts 2, 3 and 4
Robin Shattock
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Robin Shattock
Cohorts 3 and 4
Killian Stenning
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Killian Stenning
Cohorts 1, 3 and 4
Francesca Tallia
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Francesca Tallia
Cohort 1
Magda Titirici
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Magda Titirici
Cohorts 1 and 2
Ramon Vilar
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Ramon Vilar
Cohorts 2 and 3
Daryl Williams
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Daryl Williams
Cohort 2
Archie Wall
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Archie Wall
Cohort 3
Hong Wong
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Hong Wong
Cohort 1
Fang Xie
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Fang Xie
Cohorts 3 and 4
Xiao Ning Xu
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Xiao Ning Xu
Cohort 3
Choon Hwai Yap
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Choon Hwai Yap
Cohort 2