Triomics is building the AI infrastructure for modern oncology. Across the U.S., cancer care providers rely on highly trained staff to manually review unstructured patient records such as pathology reports, clinical notes, genomic panels, and scanned faxes to support workflows like clinical trial matching, visit preparation, and quality reporting. We replace that manual work with task-driven AI agents embedded directly into clinical workflows, automatically processing medical records at scale and in real time.
Our platform is trusted by 4 of the top 10 Best Hospitals for Cancer ranked by U.S. News, as well as several of the largest community oncology practices.
Total raised
$15.0M
Last stage
Series A
Investors
Hrituraj Singh
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.
Sarim Khan
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.
LinkedInHrituraj Singh
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.
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.