Also known as: ATTIMET CAPITAL MANAGEMENT LLC
Research lab applying AI and learning systems to financial markets and trading.
Financial markets present complex, information-rich environments requiring advanced learning systems for effective prediction and trading strategies.
Financial markets present complex, information-rich environments requiring advanced learning systems for effective prediction and trading strategies.
Builds AI-powered research lab that tests learning systems and clean abstractions directly in live financial markets.
Builds AI-powered research lab that tests learning systems and clean abstractions directly in live financial markets.
Appears active as of February 2026 based on Y Combinator profile and recent Form ADV filing.
Appears active as of February 2026 based on Y Combinator profile and recent Form ADV filing.
attimet is a San Francisco-based startup that operates as a research lab focused on applying AI systems in financial markets. The company tests ideas in complex, information-rich environments like trading, emphasizing learning systems and clean abstractions. Founded in 2024 as part of Y Combinator's Fall 2024 batch, attimet combines expertise from high-frequency trading and quantitative strategies.
The team at attimet prioritizes building systems for financial applications. Their work centers on deploying research in real-world trading scenarios, including equities, options, futures, and cryptocurrencies. This approach allows them to validate concepts in highly dynamic markets. Available information highlights their commitment to practical AI implementations rather than purely theoretical research.
attimet was co-founded by Kirthi Banothu and Xiaoyu Li, both with extensive experience in trading and technology. Kirthi Banothu previously worked at high-frequency trading firms Optiver and DRW, developing low-latency systems, and led machine learning libraries at Argo AI. Xiaoyu Li specialized in options market-making at Optiver and built algorithmic trading teams. The current team size is reported as three members, supported by Y Combinator's backing.
attimet is a San Francisco-based startup that operates as a research lab focused on applying AI systems in financial markets. The company tests ideas in complex, information-rich environments like trading, emphasizing learning systems and clean abstractions. Founded in 2024 as part of Y Combinator's Fall 2024 batch, attimet combines expertise from high-frequency trading and quantitative strategies.
The team at attimet prioritizes building systems for financial applications. Their work centers on deploying research in real-world trading scenarios, including equities, options, futures, and cryptocurrencies. This approach allows them to validate concepts in highly dynamic markets. Available information highlights their commitment to practical AI implementations rather than purely theoretical research.
attimet was co-founded by Kirthi Banothu and Xiaoyu Li, both with extensive experience in trading and technology. Kirthi Banothu previously worked at high-frequency trading firms Optiver and DRW, developing low-latency systems, and led machine learning libraries at Argo AI. Xiaoyu Li specialized in options market-making at Optiver and built algorithmic trading teams. The current team size is reported as three members, supported by Y Combinator's backing.
Active Y Combinator profile and July 2025 Form ADV filing.
Hiring: Hiring notice on company website for AI and research roles.
Active Y Combinator profile and July 2025 Form ADV filing.
Hiring: Hiring notice on company website for AI and research roles.
attimet's methodology involves creating abstractions for learning systems tailored to financial data challenges. They apply these in trading environments that demand speed, accuracy, and adaptability. The company's profile indicates a blend of AI, finance, and trading technologies, positioning them to tackle predictive modeling and strategy development in markets.
attimet's methodology involves creating abstractions for learning systems tailored to financial data challenges. They apply these in trading environments that demand speed, accuracy, and adaptability. The company's profile indicates a blend of AI, finance, and trading technologies, positioning them to tackle predictive modeling and strategy development in markets.
Operating in the intersection of AI and finance, attimet targets areas like quantitative trading and market prediction. Their Y Combinator affiliation provides access to a network of investors and resources focused on early-stage innovation. Profiles across platforms confirm ongoing activity in this niche, with emphasis on research-driven outcomes.
Operating in the intersection of AI and finance, attimet targets areas like quantitative trading and market prediction. Their Y Combinator affiliation provides access to a network of investors and resources focused on early-stage innovation. Profiles across platforms confirm ongoing activity in this niche, with emphasis on research-driven outcomes.
attimet maintains an active presence through its website and listings on startup directories. Recent regulatory filings further indicate operational continuity. The company invites talent interested in AI research applied to finance, signaling expansion plans based on available profiles.
attimet maintains an active presence through its website and listings on startup directories. Recent regulatory filings further indicate operational continuity. The company invites talent interested in AI research applied to finance, signaling expansion plans based on available profiles.
