Patronus AI Raises $50 Million to Simulate the Worlds Agents Work In
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
Archive
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
The Oakland company is expanding technology that structures fragmented patient information for clinical care, research and regulatory evidence.
The former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
The longevity biotechnology company plans to move its first liver program toward human testing while expanding its discovery platform.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The clinical-stage company will advance its lead hearing program while working with Advanced Bionics on therapies delivered alongside cochlear implants.
The San Mateo startup is teaching software to connect drawings, specifications and other building documents before missing details become costly field problems.
The startup is building an AI memory that reads on-screen text, prepares meeting notes and retrieves information from a user's daily work.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.
The Stanford-rooted startup wants digital populations to help organizations test decisions before they affect customers, workers or markets.