Medra, a startup building “Physical AI for experimentation,” today announced the launch of its Continuous Science Platform, a first-of-its-kind system that integrates robotics and AI to accelerate...

SAN FRANCISCO: Medra, a startup building “Physical AI for experimentation,” today announced the launch of its Continuous Science Platform, a first-of-its-kind system that integrates robotics and AI to accelerate scientific data generation and discovery.
Medra’s vision is grounded in a simple belief: if AI will one day help eradicate disease, science must first overcome the problem of data scarcity. Unlike large multimodal foundation models trained on massive datasets, scientific AI models remain constrained by decades-long bottlenecks in data creation. AlphaFold2, the protein-folding model that earned Google DeepMind the Nobel Prize in Chemistry, was trained on protein structures collected over nearly 50 years, representing just 0.3% of the data used to train today’s largest AI models.
“Scientific frontier models need 1,000X more training data to match the intelligence of current multimodal reasoning models,” said Michelle Lee, PhD, CEO of Medra. “The only way forward is to rethink how we generate scientific data, compressing decades of discovery into months.”
Continuous Science: Physical AI + Scientific AI
Medra has built new technology that combines the intelligence of general purpose robots with the scientific reasoning of large language models to run lab experiments at scale. It’s a self-improving, closed loop system made up of two parts: Physical AI and Scientific AI.
Driving Discoveries at the Frontier
Medra is working with some of the world’s largest biotech and pharma companies to design new antibodies, develop gene therapies, run cell-based assays, and more. Additionally, we’ve released two case studies highlighting our work with our partners Addition Therapeutics and Lila to advance scientific discovery.
About Medra
Medra is building the world’s first Continuous Science Platform, uniting robotics (“Physical AI”) and scientific reasoning (“Scientific AI”) to accelerate data generation and discovery. For more information, visit www.medra.ai or contact press@medra.ai.
Fonte: Business Wire
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