EMET connects to the tools your teams already use
Scientists shouldn't be the connective tissue between their own tools. EMET connects lab automation, ELNs, research databases, and frontier AI models so research can flow from hypothesis to experiment without context-switching.
Unified context across your R&D stack
Eliminate the 40–60% of research time lost finding, cleaning, and reconciling data across disconnected systems.
Zero-friction ELN integration
Connect to your ELN and pull experimental context directly into active safety and target assessments without window switching or manual reconciliation.
Direct lab automation handoffs
Send validated experimental designs straight to lab automation queues (MOSAIC, Cellario OS, Green Button Go, Momentum) without manual translation or handoff meetings.
Multi-model AI orchestration
Connect frontier models (NVIDIA BioNeMo, AlphaGenome, specialized structure models, coding environments) and orchestrate them as part of a single reasoning workflow.
This is something I've been trying to do literally for fifteen years. Your tool did it in ten minutes.
Native integrations across your pipeline
Connect seamlessly with the instruments, notebooks, and models your scientists already rely on.
Lab automation
EMET sends validated experimental designs directly to instrument queues (MOSAIC, Cellario OS, Green Button Go, Momentum by Thermo Fisher) with no manual translation.
Electronic lab notebooks
EMET pulls experimental context and assay parameters directly from SIGNALS and internal LIMS into safety and discovery assessments without leaving the platform.
AI models & infrastructure
EMET orchestrates tools like NVIDIA BioNeMo and Alpha Genome as part of a unified reasoning workflow — the right model for the right step, not whichever is open.
Drug programs fail when biology is misunderstood. EMET exists to close that gap — before it closes your pipeline.
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