What if every scientist had a team of expert scientists behind every question?What if every scientist had a team of expert scientists behind every question?

Eight years of publisher partnerships built legal access to 16M closed-access papers — plus 780K patents, 310K preprints, Omics and 1,000+ databases. No one else has this.

Behind the literature: a proprietary knowledge graph with 858M nodes, 2.2B relationship edges, and 100M ontological nodes across 241 edge types. Layered on top: 16M antibodies, 22M RNAi entries, 18M CRISPR records, 500K cell lines, 700K animal models — every data point curated by 60 PhD scientists. The ground truth of disease biology. It lives in EMET and nowhere else.

EMET wasn’t designed by software engineers who learned biology. It was built over a decade by PhD scientists who work inside biopharma R&D.

100+ proprietary scientific skills cover target identification, validation, omics analysis, biomarker development, and experimental design. A neuro-symbolic evaluation loop delivers 95%+ accuracy — 2–4x better than frontier LLMs — validated across 600+ tests and 8+ benchmarks. We orchestrate frontier models alongside ESM-2, AbLang2, and RDKit: the right answer, not just any answer.

EMET doesn’t hallucinate its way through biology. It earns every answer.

Your data, your workflows, your compliance requirements. EMET integrates proprietary and dark data, supports customizable agentic workflows, connects to self-driving labs, and is built for regulated biopharma — not retrofitted for it.

Most hand you a login and a knowledge base. We send in scientists.

Every deployment includes a dedicated PhD team who understands your biology, your therapeutic areas, and your workflows. They run training, manage change, and build bespoke connectors tailored to how your teams actually work. This isn’t support. It’s a scientific partnership — and it’s why customers build their research programs around EMET.