Home/Startups/Triomics nabs $22M to bring oncology-specific AI to cancer centers

Triomics nabs $22M to bring oncology-specific AI to cancer centers

StartupsMay 27, 20262 min readAttributed summary
Triomics nabs $22M to bring oncology-specific AI to cancer centers
The Series B round was led by Battery Ventures.
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Triomics, a startup building an AI-powered platform to help oncologists and administrative staff automate data-heavy tasks like clinical trial matching and appointment prep, has raised $22 million in Series B funding.

The round was led by Battery Ventures, with participation from returning backers Nexus Venture Partners, Lightspeed, Y Combinator, and others.

The good news is that oncology breakthroughs are keeping patients alive longer.  That welcome trend, however, is creating dense, multi-year medical records that take healthcare staff a long time to review and decipher.

A typical medical chart includes physician progress notes, imaging and pathology reports, and even scans of faxes. “We have seen medical records [with] thousands of pages of information,” Triomics co-founder Sarim Khan (pictured left) told TechCrunch.

Founded in 2021, the startup raised a $15 million in Series A in mid-2024. Initially focused on helping doctors identify the most suitable clinical trials for their patients, Triomics expanded its platform as LLM capabilities grew. Over the last couple of years, Triomics added verifiable patient summaries to its platform, surfacing key information directly inside the tools clinicians already use, without requiring them to switch applications.

By reducing appointment prep time, these summaries give oncologists more time with their patients. The efficiency gain matters beyond individual appointments: in oncology, where patient histories are unusually complex and staff burnout is a persistent problem, tools that reduce administrative load have an outsized impact.

Triomics is also used to automate the tedious task of submitting tumor reports to government registries, a legal mandate for cancer centers.

While generic AI agents excel at basic summaries, prominent institutions like Memorial Sloan Kettering (MSK) and Yale Cancer Center use Triomics because its models are trained specifically on oncology data, Khan explained.

Triomics most direct competition comes from AI medical scribes like Abridge and Microsoft’s Nuance — tools that use AI to listen to and document patient-doctor conversations — when it comes to summarizing patient charts.

Despite the fierce competition, Triomics is growing fast. According to Khan, the startup expanded its enterprise customer base fourfold over the past year, driving a 10-fold increase in annualized recurring revenue.

Source: TechCrunch - Startups

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