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Triomics

Health · New York City, United States · Founded 2020

Triomics is a San Francisco-based company founded in 2020 by Sarim Khan, Hrituraj Singh, and Sajjan Rajpurohit, which specializes in applying generative artificial intelligence to oncology. The firm aims to reduce the manual labor involved in cancer research and care by structuring vast amounts of unstructured health record data. The company was founded by a team with diverse expertise. Sarim Khan, the CEO, is a former MIT biotech researcher with a background in chemical engineering and neuroscience. Hrituraj Singh, the CTO, was previously a researcher at Adobe focusing on language models and now applies that expertise to interpret oncology patient charts. Dr. Sajjan Rajpurohit is a medical oncologist with over 12 years of experience. The inspiration for Triomics stemmed from observing the lack of vertical integration and the inefficiencies caused by manual data review in the clinical trial space. Triomics' core technology is OncoLLM™, an oncology-focused large language model framework designed to analyze complex and unstructured electronic health records (EHR), including doctor's notes, PDFs, and lab results. This system transforms the data into actionable insights, addressing the challenge that over 80% of healthcare data is unstructured. The platform includes specific tools like 'Prism' for automated patient-to-clinical-trial matching and 'Harmony' for curating EHR data for quality reporting and cohort analysis. This automation significantly accelerates processes that would otherwise take hours of manual review, with studies showing OncoLLM can match patients to trials with over 90% accuracy in minutes. By integrating with existing EHR systems, the software helps cancer centers streamline operations, accelerate clinical trial enrollment, and support precision oncology. The company operates on a business model that primarily serves cancer centers, academic medical centers, and health systems. Triomics has established partnerships with several major cancer centers, including Memorial Sloan Kettering Cancer Center and Yale Cancer Center. It has raised a total of $28.9 million in funding over three rounds, with a notable $15 million Series A/B round in May 2024 led by investors such as Lightspeed, Nexus Venture Partners, General Catalyst, and Y Combinator. Keywords: generative AI, oncology, clinical trials, electronic health records, data abstraction, patient matching, cancer research, health data, precision oncology, OncoLLM, clinical research, workflow automation, real-world data, unstructured data, cancer care, health technology, data management, cohort analysis, quality reporting, EHR integration