Cutting-Edge Machine Learning for the Real World
- White-box models delivering state-of-the-art performance
- Designed for imperfect data, complex effects, and operational constraints
Tau
- Supervised learning engine for tabular data, outperforming all existing models, from tiny datasets to massive datasets
- State-of-the-art, white-box, based on years of proprietary mathematical experience and research
- Handles real-world challenges such as random effects, missing labels, tiny datasets, complex relationships and selection bias, using principled mathematical innovations
Psi
- Parallelize your AI agents: run 5 to 10 coding sessions simultaneously, each in its own worktree, multiplying your development throughput
- Branch out like the letter Psi: Git worktrees provide lightweight but full isolation, letting agents work concurrently without conflicts or coordination overhead
- Better code, not worse: parallel agents force you into specs, feedback, and high-quality code reviews - detailed human oversight meets machine throughput