EMET where your systems are, not just where your scientists are.
Access EMET's reasoning, data, and scientific skills programmatically — so the teams building your internal platforms can bring BenchSci's intelligence into the tools scientists already live in.
Not every scientific question gets asked through a chat interface.
R&D teams build internal tools, decision-support dashboards, automated pipelines, and custom applications — and those systems need intelligence too.
Direct platform access
EMET's programmatic layer gives software and data engineering teams direct access to 8 years of curated biological ground truth, the Biological Evidence Knowledge Graph, 200+ scientific skills built by PhD scientists, and multi-agent workflows validated across 600+ tests — without opening a browser window.
API
Direct programmatic access to EMET's capabilities. Query the knowledge graph, invoke scientific skills, run agent workflows, and retrieve cited outputs — integrated directly into your internal R&D portal, data pipeline, or decision-support dashboard.
Model Context Protocol
Ground your AI systems in BenchSci's biological knowledge. EMET acts as a context provider for other AI systems in your stack — so your internal LLM assistant reasons against verified biological ground truth instead of general training data.
Agent-to-Agent
Let external agents delegate to EMET's specialists. External agents in your ecosystem can hand off tasks directly to EMET's specialized scientific agents and receive structured, traceable results — without human orchestration in between.
Use cases
Embed EMET reasoning into an internal R&D portal
Automate literature synthesis as part of a data pipeline
Ground an internal LLM assistant with BenchSci's knowledge graph
Connect EMET to self-driving lab systems for closed-loop experimentation
Drug programs fail when biology is misunderstood. EMET exists to close that gap — before it closes your pipeline.
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