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Potential Sciences

Emerging neolab

Physics-grounded training data and AI for chemistry and drug discovery

Record checked 10 Nov 2026potentialsciences.comReport an error

Raised, confirmed—0 confirmed rounds
Valuation, confirmed—none disclosed
Valuation, reported—no open report
Founded2025London, GB

Key facts

FieldValueSource · checked
ClassificationEmerging neolabLondon-based chemistry AI lab founded in 2025 by a former Graphcore executive; seed round of tens of millions of dollars backed by the UK Sovereign AI fund (Nov 2026).
FoundedNov 2025
tech.euwhich was founded in November last yearchecked 10 Nov 2026
HeadquartersLondon, GB
tech.euA London-based startup building AI infrastructure for scientific drug discoverychecked 10 Nov 2026
FoundersHatem Helal
Websitepotentialsciences.com
potentialsciences.comWe generate new training data from the laws of physics, at the accuracy of a laboratory measurement.checked 10 Nov 2026
Profiles and workX @potentialsci_LinkedInGitHub, 1 public repo
How links are checkedchecked 10 Nov 2026

Funding rounds

No round of Potential Sciences is confirmed by the company or a regulator. Rounds marked Reported or Abandoned are not included in that total. Status rules: methodology.

DateRoundAmountValuationInvestorsStatusSource · checked
5 Nov 2026Seedundisclosed—UK Sovereign AI fund, Twin Path Ventures, Odyssey, Portfolio Ventures, Blue Wire Capital, rule30, Nauta Capital, Lightfield Equity, Patrick CollisonReported
Tech.euThe government’s Sovereign AI fund today confirmed it was backing Potential Sciences, as part of a raise in the tens of millions of dollars.checked 10 Nov 2026
Notes on these rounds

People

NameRoleBeforeNowSource · checked
Hatem HelalLinkedInScholarFounderGraphcore (Executive)Current
tech.euPotential Sciences was founded by doctor Hatem Helal, a former Graphcore executivechecked 10 Nov 2026

Professional facts from public sources only. How people records are handled.

Latest posts on X

The most recent posts from @potentialsci_, the X account of Potential Sciences, quoted as posted. Replies and reposts are left out. How posts are selected.

A deep, technical chat between Hatem and @CorinWagen: simulated data at coupled-cluster accuracy, lead optimisation, the hardware lottery and building in the UK with @uksovereignai. Thanks @RowanSci for having us!
AI for drug discovery has learned almost everything the existing experimental record can teach it. The next leap needs new data, and the laws of physics can supply it. Potential Sciences is out of stealth to solve this problem, backed by @uksovereignai and @Twinpathvc.
View the post on X · With video
checked 10 Nov 2026

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