
attimet is a Y Combinator-backed research lab that builds adaptive AI prediction systems for financial markets, starting with options.
attimet's Predictive Intelligence Platform is designed to forecast large-scale human behavior using mathematical models and machine-learning signals.
The platform's first application targets financial markets, helping asset managers and traders anticipate market outcomes; the roadmap describes building a real-world Prime Radiant and later applying it to broader domains.
attimet plans to first validate its predictive models in financial markets, where forecasting demand is well established and data is abundant.
If successful, the company intends to expand its framework to additional large-scale human systems, potentially including public policy and macroeconomic domains.
attimet's founding team brings direct experience from high-frequency trading firms Optiver and DRW, giving the company expertise in low-latency systems, quantitative strategies, and market microstructure.
Its psychohistory-inspired approach distinguishes it from conventional quantitative tools by modeling aggregate human behavior rather than relying solely on historical price patterns or single-factor signals.
attimet is still an early-stage research lab without a public SaaS product or API, so its tools are currently used only by internal researchers and engineers.
The lack of a commercialized offering and live customer deployments means the company has yet to prove that its adaptive models can be productized and sold at scale to external trading teams.
attimet's go-to-market plan is expected to combine subscription access to predictive signals and APIs with performance-fee or managed-service arrangements.
The company is running low-risk managed pilots with prospective prop desks and hedge funds to prove live value before standardizing pricing and self-serve tiers.