Triomics
AI Agents for Oncology EHRs
What they do
Oncology providers spend significant time and labor manually reviewing unstructured patient records to support critical workflows like trial matching, visit prep, and quality reporting.
Triomics provides task-driven AI agents embedded in oncology EHR workflows that automatically extract and process unstructured medical records in real time at scale.
Cancer care providers, including enterprise hospitals and large community oncology practices, that use EHRs.
Founders
I am a chemical engineer with previous research experience in tissue engineering and neuroscience. The lack of vertical integration in the clinical trial space inspired me to work on Triomics.
Before starting Triomics, I was a Researcher at Adobe Research, where I worked on language models and reinforcement learning problems. I now use the same technologies to interpret oncology patient charts.
Open roles 10
Company timeline
- Founded2021
- YC batchWinter 2021
- StatusActive
- Team size50 people
- LocationNew York, NY, USA
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