EMET is not built on a model. It's built to use all of them.
The scientist is the conductor. The models are the orchestra. EMET decides, in real time, which instrument plays each part.
Any single-model bet goes stale in weeks
There are over 700 models relevant to drug discovery, and new ones ship every month. Any platform that hard-wires itself to a single model makes a bet that goes stale in weeks. EMET makes no such bet.
Task-specific dynamic routing
For every step of a scientific question, EMET routes the work to the best model for that specific task — a frontier LLM for open-ended reasoning, a specialized model for protein structure or ADMET prediction, or a small fast model for narrow classification.
Unified model orchestration
Large or small, ours or third-party, EMET orchestrates across all of them and the scientist never has to think about which one is running.
Performance frontier without vendor lock-in
When a better model appears, EMET adopts it. When a model degrades or a provider raises prices, EMET routes around it. You get the best available performance on every task, matched to the cheapest model that can do it well, and no single point of failure.
The intelligence comes to the data
The most valuable questions in drug discovery can only be answered with your most sensitive data — proprietary targets, internal screening results, unpublished biology. So the intelligence comes to the data, not the other way around.
Data residency & control
EMET's application layer runs securely in your environment. Your data stays resident and under your control — it never leaves, and it never trains a model.
Reasoning across public and internal data
Alongside it, access BenchSci's Biological Evidence Knowledge Graph — 858M nodes of curated biological ground truth — so EMET reasons across the world's published evidence and your internal data in a single workflow. Every output is cited and traceable.
Contractual security & compliance
Built for regulated, sensitive research. BenchSci is SOC 2 Type II attested and compliant with GDPR and CCPA — and every data commitment is contractual, not just policy. We don't train on your data. We don't share it.
What's included
Resident application layer
EMET's application layer running inside your environment, keeping your data resident and under your control
Proprietary data protection
Proprietary data that never leaves and is never used for training
Biological Evidence Knowledge Graph
BenchSci's Biological Evidence Knowledge Graph and 200+ scientific skills reasoning alongside your internal data
Internal data integration
Internal data integration at four levels of depth and resolution
Cited, traceable outputs
Cited, traceable outputs that combine published evidence and your proprietary data
Contractual compliance & protections
SOC 2 Type II attested · GDPR compliant · CCPA compliant · contractual data protections
Drug programs fail when biology is misunderstood. EMET exists to close that gap — before it closes your pipeline.
Start free trial