1910 is an AI-native biotech company building infrastructure for drug discovery that combines multimodal data, frontier AI models, and high-throughput lab automation. The company's ITO™ platform addresses fundamental constraints in therapeutics research: data scarcity, AI model training, computing power, and wet lab validation.
The platform uses federated learning and multimodal approaches to work across different data types and modalities without requiring a single unified format. A multi-agent system of AI models handles multi-parameter optimisation across the drug discovery process. Computing is deployed through technology partnerships using multi-GPU infrastructure, while robotics-driven automated lab workflows provide validation and generate purpose-built datasets to improve model performance.
1910 focuses on small and large molecule therapeutics, offering an end-to-end system designed to accelerate discovery timelines by integrating computational and wet lab capabilities into a single platform.