Science is becoming agentic. Researchers direct AI systems to search literature, write code, analyse data and propose experiments. But current systems are blind to the experimental record: the raw data, protocols, analyses, and decisions that show not only what a lab discovered, but how it got there. We believe whoever builds this system of record will become the default interface between scientists who operate in the physical world and their agentic counterparts operating in the digital world.
The volume of biological data for R&D is growing rapidly and has already outgrown the tools used to manage it. Today, data moves across proprietary software, desktop tools, spreadsheets, shared drives and slide decks. These tools help scientists complete individual tasks, but structure and provenance are lost at every handoff. This results in fragmented evidence that executives, scientists, and agents cannot reliably query, reuse or act on.
EpistaBase is the full-stack, science-native platform that turns the research workflow itself into a governed, shared experimental record. Raw instrument data is analysed on the same sovereign infrastructure that stores it, so every output remains connected to its source, with governance, versioning and provenance built in. This gives organisations and their agents a trusted foundation for querying, reusing and acting on experimental evidence. The more experiments that pass through EpistaBase, the more valuable the organisation’s scientific memory becomes.
EpistaBase is the governed, science-native data and compute infrastructure upon which agent-driven research will be built.