A healthcare AI platform that searches validated scientific sources and runs biological models to generate, test, and evaluate real hypotheses in seconds.
Scout combines high-quality scientific retrieval with state-of-the-art molecular prediction models. From literature to simulation, every output is grounded in evidence and validated through computation, not guesswork.
Traditional AI tools stop at summarising papers. Scout goes further by retrieving verified scientific evidence and directly running predictive models on top of it.
Scout Platform is a unified system for scientific retrieval and biological computation.
Built on modern advances in scientific retrieval and molecular machine learning, Scout integrates high-signal data sources with production-ready biological models. The system is designed for real-world research workflows, not demos.
Scout searches across scientific sources like PubMed, arXiv, and PubChem and resolves queries into standard entities such as drugs, proteins, and genes. It returns relevant papers and extracts evidence for relationships between those entities, with clear citations.
Scout uses the retrieved context to run biological models. It predicts binding with DiffDock, evaluates molecular properties with Boltz-2, and generates candidate molecules with GenMol. Outputs include predicted interactions, structures, and candidate compounds.
Scout is designed to plug directly into AI agent workflows. The search and prediction tools can be called programmatically, letting agents retrieve evidence, run models, and use the results in multi-step tasks. This allows agents to move from simple lookup to actual analysis using real scientific data and simulations.
arXiv
PubMed
bioRxiv
medRxiv
WHO Health Data
WHO ICD Codes
NIH Grants
Open Targets
