StrataBio Information

AI has a blind spot in biology. It can see sequences. It can predict structures. But it rarely has access to proprietary experimental data showing how enzymes actually perform. StrataBio is being built to close that gap. Our intelligence platform will be powered by exclusive enzyme performance data generated through Endurazymes—including measurements of stability, activity, selectivity, expression, environmental tolerance, and application-specific behavior. Most AI platforms in biology draw from the same public sequence databases, predicted structures, published research, and historical annotations. These resources are valuable, but widely available. Access to the same data makes it difficult to build a lasting competitive advantage. StrataBio starts where public data stops. By connecting sequence and structure with proprietary performance measurements, experimental conditions, successes, and failures, StrataBio will help models learn more than what an enzyme is. They can begin to learn how it behaves, where it fails, and what may improve it. Every experiment generated through Endurazymes will expand StrataBio’s proprietary data foundation. Every result will strengthen the intelligence available for the next design-build-test-learn cycle. The result is a compounding advantage: differentiated data powering differentiated models, with the potential to make enzyme engineering increasingly predictive. Others can access the same public biology. They cannot access our data. StrataBio is building the intelligence layer for modern enzyme engineering.