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2612

Tim Cherkasov

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Tim Cherkasov
CEO & Co-Founder of
Trace (2025)
About

Tim Cherkasov is Co-Founder and CEO of Trace (YC S25), a context-aware AI workflow orchestration platform helping enterprises intelligently deploy AI agents alongside human workers.

Before founding

Tim holds an MSc in Business Analytics from UCL and has been building startups since age 17 across retail tech, travel, and web3.

Founder Insights

Tim has a deep fintech background spanning hedge funds and scaleups as a data scientist, and previously served as a product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street.

Experience

At Trace, Tim has led the company through Y Combinator's Summer 2025 cohort and closed a $3M seed round backed by YC, Goodwater Capital, Zeno Ventures, and others.

Scale & Impact

Trace is pioneering the shift from prompt engineering to context engineering, positioning itself as the orchestration infrastructure layer on which AI-first enterprises will be built.

2612

Tim Cherkasov

Trace
Co-Founder & CEO
Logo
Tim Cherkasov

Company(s)

Trace

Industry

SaaS

Year Founded

2025

Stage/Funding

Seed • $3M

Company Location

gb

Connect

About

Tim Cherkasov is Co-Founder and CEO of Trace (YC S25), a context-aware AI workflow orchestration platform helping enterprises intelligently deploy AI agents alongside human workers.

Before founding

Tim holds an MSc in Business Analytics from UCL and has been building startups since age 17 across retail tech, travel, and web3.

Founder Insights

Tim has a deep fintech background spanning hedge funds and scaleups as a data scientist, and previously served as a product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street.

Experience

At Trace, Tim has led the company through Y Combinator's Summer 2025 cohort and closed a $3M seed round backed by YC, Goodwater Capital, Zeno Ventures, and others.

Scale & Impact

Trace is pioneering the shift from prompt engineering to context engineering, positioning itself as the orchestration infrastructure layer on which AI-first enterprises will be built.

About

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