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

Triomics 融资 2200 万美元，旨在为癌症中心提供肿瘤专科 AI

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.

Triomics 是一家致力于构建 AI 驱动平台的初创公司，旨在帮助肿瘤科医生和行政人员自动化处理临床试验匹配和预约准备等繁重的数据任务。该公司近日完成了 2200 万美元的 B 轮融资。本轮融资由 Battery Ventures 领投，现有投资方 Nexus Venture Partners、Lightspeed、Y Combinator 等跟投。

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 told TechCrunch.

好消息是，肿瘤学领域的突破正在延长患者的生命。然而，这一可喜的趋势也带来了海量且跨度长达数年的医疗记录，医护人员需要花费大量时间来查阅和解读。一份典型的病历包括医生的诊疗记录、影像和病理报告，甚至还有传真件的扫描件。Triomics 联合创始人 Sarim Khan 在接受 TechCrunch 采访时表示：“我们见过包含数千页信息的医疗记录。”

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.

Triomics 成立于 2021 年，于 2024 年年中完成了 1500 万美元的 A 轮融资。最初，该公司专注于帮助医生为患者寻找最合适的临床试验，随着大语言模型（LLM）能力的提升，Triomics 也扩展了其平台功能。在过去几年中，Triomics 在其平台中增加了可验证的患者摘要功能，能够直接在临床医生现有的工作工具中呈现关键信息，无需他们切换应用程序。

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.

通过缩短预约准备时间，这些摘要让肿瘤科医生能有更多时间陪伴患者。这种效率的提升不仅仅体现在单次预约上：在肿瘤学领域，患者病史极其复杂，医护人员倦怠也是一个长期存在的问题，因此能够减轻行政负担的工具具有巨大的影响力。Triomics 还被用于自动化处理向政府登记处提交肿瘤报告这一繁琐任务，这是癌症中心的法定要求。

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.

Khan 解释说，虽然通用的 AI 代理在基础摘要方面表现出色，但像纪念斯隆凯特琳癌症中心（MSK）和耶鲁大学癌症中心这样的知名机构选择使用 Triomics，是因为其模型是专门针对肿瘤学数据进行训练的。在病历摘要方面，Triomics 最直接的竞争对手是 Abridge 和微软旗下的 Nuance 等 AI 医疗记录工具，这些工具利用 AI 监听并记录医患对话。

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.

尽管竞争激烈，Triomics 仍在快速增长。据 Khan 透露，该公司在过去一年中将企业客户群扩大了四倍，推动年度经常性收入（ARR）增长了 10 倍。