Intelligence you can interrogate
Capital Genome is an AI first platform. That means AI woven through the architecture, and it also means holding that AI to a higher standard than the market usually does.
Knowledge graph core
Investors, opportunities, sectors, people and transactions modelled as a connected graph, so relationships carry as much signal as records.
Language model intelligence
Large language models used where they are strong: reading documents, structuring information and explaining reasoning in plain language.
Signal models
Purpose built models for match scoring, readiness assessment and market signals, each designed to be tested, measured and explained.
Structured data pipeline
Verified sources, clear provenance and human review where it matters. Data quality is treated as a product feature, not a chore.
Security by design
Encryption, access controls and audit trails designed into the architecture from the first commit. More on our Security page.
Built to move
Fast interfaces, responsive design and performance budgets, because intelligence that arrives slowly is intelligence ignored.
Explainability is a feature, not a footnote
Every score the platform produces is designed to answer one question without hesitation: why? A match score that cannot explain itself is a rumour with a percentage sign.
Concept Interface
Concept interface: match scores presented alongside the evidence that produced them. Illustrative preview only.
Technical conversations welcome
If you want to go deeper on architecture, data governance or model design, we are happy to talk.
Contact the team →