We work on some of the most complex and interesting challenges in AI

Autonomous scientific discovery across chemistry and materials science

An agentic AI system that formulates hypotheses, designs experiments, interprets results, and generates novel chemical insights autonomously. Operates across molecular dynamics, materials discovery, and drug design.

Agentic research system for deep literature analysis and insight generation

A long-horizon reasoning engine that reads scientific literature, extracts causal mechanisms, synthesizes insights across disciplines, and generates research proposals. Built for researchers who need to navigate vast knowledge graphs.

Quantitative research and portfolio optimization under uncertainty

A formal reasoning system for financial research, combining causal inference, stochastic modeling, and portfolio theory. Designed for quantitative analysts who need rigorous, auditable decision frameworks.