Triomics, a startup building artificial intelligence tools tailored for oncology, has raised $22 million in Series B funding. The round was led by Battery Ventures.

The company plans to use the capital to expand its platform into more cancer centers across the United States. Triomics’ AI system is designed to help oncologists and clinical teams manage complex data, including treatment histories and trial eligibility, more efficiently.

What the platform does

Triomics focuses on a specific pain point in cancer care: the overwhelming amount of unstructured data buried in electronic health records. Its AI models are trained on oncology-specific language and clinical workflows. The system can extract key information from patient records, flag potential clinical trial matches and support treatment decisions.

The goal is not to replace doctors but to reduce administrative burden. Cancer centers often struggle with data fragmentation, which slows down research and delays care. Triomics aims to give clinicians a clearer picture of each patient’s history in seconds rather than hours.

Why this matters

Cancer care generates vast amounts of complex data that most hospital IT systems cannot handle well. Oncologists spend significant time manually reviewing records instead of seeing patients or planning treatments. Triomics’ technology directly addresses that bottleneck.

The funding signals growing investor confidence in specialized AI for healthcare — not just general purpose models but tools built for specific medical fields. If successful, Triomics could help smaller community cancer centers access capabilities previously limited to large academic hospitals.

Growth trajectory

Triomics has already partnered with several major cancer centers. The new funding will support product development and hiring, particularly in engineering and clinical deployment roles. Battery Ventures’ involvement adds weight; the firm has backed other healthcare technology companies with strong market traction.

The oncology AI market remains relatively young but is accelerating as hospitals seek practical ways to adopt artificial intelligence without disrupting existing workflows. Triomics positions itself as a pragmatic solution — one that works within current systems rather than requiring a complete overhaul.