
Triomics is helping cancer centers use their health record data using Generative AI for reducing the manual labor in oncology research and care.

Triomics is helping cancer centers use their health record data using Generative AI for reducing the manual labor in oncology research and care.
What they do: Generative-AI platform (OncoLLM) that extracts structured oncology insights from unstructured EHR data
Primary use cases: Clinical trial matching, trial accrual improvement, visit preparation, oncology data curation
Recent funding: $15M Series A (announced May 9, 2024)
Customer signal: Deployed with multiple major cancer centers
Founded: 2021
Unstructured electronic health record data in oncology; inefficient manual processes for clinical trial matching and oncology data curation.
2021
Software Development
$15M
Series A announced May 9, 2024
“Lightspeed; Nexus; Y Combinator; General Catalyst”
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About Triomics:
Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records such as pathology reports, clinical notes, genomic panels to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records with >95% accuracy, at scale, in real time.
We have grown 10x in the last one year and are processing millions of documents monthly.
Role:
We’re looking for an AI Product Manager who can operate at the intersection of LLM engineering, oncology data, and product thinking. This is not a traditional PM role where you write specs and hand them off. You’ll be expected to deeply understand the AI systems you’re building, get your hands dirty with prototypes, and work shoulder-to-shoulder with our NLP and AI engineering teams to ship reliable, production-grade AI agents.
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