Preference Model
Reinforcement-learning environments that help AI labs train models to solve tasks without exploiting flaws in the grading system.
$16MSeed
ParticipantActivity from announced rounds
Reinforcement-learning environments that help AI labs train models to solve tasks without exploiting flaws in the grading system.
Post-training research lab building reinforcement learning and self-improving AI models
Automatically moves idle cash into higher-yield accounts and back before bills are due
Builds intelligence layer to help AI agents understand humans across digital footprint
Enables contextual advertising natively inside generative AI
Uses interpretability to understand, learn from, and design AI systems
Provides AI platform for insurance brokerages to modernize workflows