Preference Model
Reinforcement-learning environments that help AI labs train models to solve tasks without exploiting flaws in the grading system.
$16MSeed
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Activity from announced rounds
Reinforcement-learning environments that help AI labs train models to solve tasks without exploiting flaws in the grading system.
AI platform coordinating clinical and administrative workflows for musculoskeletal care providers
Runs autonomous AI-driven penetration testing to secure enterprise networks
Trusted business context engine for enterprise AI
A command center for payments companies, fintechs and banks operating across fragmented financial infrastructure
Trains RNA foundation models on tumor transcriptomes to improve patient-level prediction in oncology
Provides AI-powered workflows for insurance agencies and brokers
Builds white-label crypto and fiat deposit, withdrawal, and settlement infrastructure for large global platforms
Provides a secure enterprise AI platform that helps health systems deploy, govern, and scale AI solutions
Empowering providers to deliver exceptional in-person and online therapy and psychiatric care
Provides patient-centric healthcare advocacy layer connecting patients with trained healthcare ad...
Provides AI-native due diligence for life sciences dealmaking