Triomics startup raised investment for artificial intelligence in oncology

Triomics, an AI platform designed to help oncologists and healthcare providers automate complex tasks such as managing clinical trials and preparing for patient visits, has raised $22 million in funding, Zamin.uz reported.
The financing round was led by Battery Ventures, with continued participation from existing investors including Nexus Venture Partners, Lightspeed, and Y Combinator.
The news was shared in prominent tech publications. Advances in oncology have extended patient survival, but this progress has placed increasing pressure on medical staff to analyze vast and complex volumes of clinical documentation accumulated over years.
As co-founder Sarim Khan explained, a single patient’s history can span thousands of pages, including physicians’ personal notes, imaging reports, and even scanned documents.
Manually reviewing such data is time-consuming and labor-intensive. Founded in 2022, Triomics initially focused on helping clinicians quickly identify suitable clinical trials.
With the expansion of large language model capabilities, the platform has evolved. It now delivers verified, summarized patient information directly within the systems clinicians already use.
This saves oncologists significant time in visit preparation and allows them to focus more on direct patient interaction. Triomics also fully automates tedious, labor-intensive tasks for cancer centers, such as submitting mandatory symptom reports to state registries.
Influential institutions like Memorial Sloan Kettering and Yale Cancer Center have adopted the system, largely because its models are specifically trained on oncology data—reducing errors and improving efficiency.
Today, Triomics competes in the market with major AI players such as Microsoft’s Nuance and Abridge. Despite this, the startup has grown its corporate customer base fourfold over the past year and increased its annual recurring revenue tenfold.
These metrics underscore the strong demand for specialized AI solutions in healthcare.





