Your science lives in a dozen systems. EMET reasons across all of them.
Decades of research sit locked across disconnected systems. EMET connects where they live — reasoning over internal records and public evidence in one query.
Your most valuable evidence is the science you've already done.
And most of it is unreachable — split across ELNs, databases, and tools never built to work together, leaving scientists with days of manual retrieval.
Internal and public evidence in one step
Connect to your internal systems where they already live and make your proprietary record queryable alongside 38M+ publications, 16M+ closed-access papers, and 100M+ accessible experiments.
Single-step reasoning without window switching
When a scientist asks whether a target has been pursued internally, EMET doesn't leave the platform to check the ELN and come back. It reasons across internal and external evidence in one step, from one interface, with every answer traceable to its source.
Right integration depth for every source
Not every source should be integrated the same way — some are best explored ad hoc, some connected live, and some warrant full harmonization into the Knowledge Graph. EMET matches depth to source value so you start fast and go deeper only where it pays off.

A four-tier model matched to the value of each source
Complexity and resolution increase from Tier 1 to Tier 4. Sources enter where they fit best and move up as their use matures.
File Upload
Session-based upload directly to the platform. Best for quick analysis, ad hoc exploration, and testing with sample data.
API & MCP
A live, real-time connection to a source — data stays where it lives, with no ingestion. Best for frequently updated, well-structured sources with a stable API or existing connector.
AI-Ready Ingestion
Data is ingested, enriched, and vectorized for richer semantic search and retrieval. Best when no usable connector exists, a legacy system is being retired, or live connection isn't precise enough.
Knowledge Graph
Full structured harmonization of your data with BenchSci's Knowledge Graph. Internal compounds, targets, and assay results become first-class nodes reasoned over with multi-hop inference.
What EMET connects to
ELNs are the anchor, but EMET connects across your entire discovery record.
Electronic lab notebooks (ELNs)
Decades of experimental history across targets, assays, compounds, and sites
LIMS & sample management
Inventory, sample management systems, and lab operations data
Internal & home-built tools
Custom databases, screening platforms, and applications built in-house
Document stores
SharePoint, cloud drives, and the decks, reports, and protocols inside them
Administrative & operational systems
The systems of record around the science
Procurement systems
What's been ordered, used, and available, connected to the experiments it supported
Third-party & omics data
Vendor-hosted datasets and specialized scientific tools
Drug programs fail when biology is misunderstood. EMET exists to close that gap — before it closes your pipeline.
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