Datavant, the healthcare data collaboration platform, announced that it has signed an agreement to acquire DigitalOwl, a company specializing in AI-driven medical data analysis.
Medical record reviews still crawl. Errors stack, costs balloon, and insurers or law firms wait too long for answers. Datavant wants to crush that bottleneck.
The company just confirmed a deal to acquire DigitalOwl, an AI outfit that slices medical data into something less chaotic.
DigitalOwl’s tech doesn’t just scan—it tags, summarizes, and builds chronologies out of the kind of messy records that choke lawyers and claims adjusters. Its AI sorts unstructured data, flags relevant sections, and produces usable summaries.
A team of scientists keeps the system tuned, making sure outputs align with how insurance and legal teams actually operate. Recognition came earlier this year when the firm won the 2025 award for best Natural Language Generation platform in medical review.
Datavant isn’t entering this alone. It’s bringing Ontellus into the mix, known for health records retrieval and claims intelligence.
Together, the trio plans a full-service pipeline: managed retrieval, auto-generated summaries, duplication control, and predictive analytics. The promise—one place to fetch, refine, and apply medical data securely, with Datavant’s compliance framework underpinning it.
CEO Kyle Armbrester called the market overdue for change. According to him, clients don’t want fifteen platforms or endless PDFs; they want one streamlined channel.
Combined with Datavant’s record exchange platform and Ontellus’ provider reach, the aim is to reset how insurers and litigators tap into structured and unstructured health data.
Legal and insurance customers are looking to consolidate and simplify the process of finding, accessing and analyzing specific medical information from a vast amount of both structured and unstructured data sources.
Kyle Armbrester, CEO of Datavant
“DigitalOwl’s data extraction and summarization technology was built specifically for these use cases and, together with Ontellus’ and Datavant’s digital record exchange platform and extensive provider network reach, we will transform a market that is ripe for change.”
DigitalOwl’s CEO Yuval Man didn’t mince words either. He said manual reviews waste time and money, a drag on underwriting and claims.
His team built tools to erase those inefficiencies, and plugging into Datavant’s distribution gives them the scale they couldn’t hit alone. Or as he put it, the deal accelerates the mission and expands value for customers already using the platform.
Manually reviewing medical records and extracting the necessary information for underwriting, cases and claims work is time-consuming and costly.
Yuval Man, CEO of DigitalOwl
“At DigitalOwl, we’ve focused exclusively on applying advanced technology to automate manual processes and address pain points across the workflow. Joining forces with Datavant will enable us to accelerate our mission and deliver even greater value for our partners and customers.”
Datavant itself already has reach: 60mn healthcare records move across its network, shared among thousands of orgs, 80k hospitals and clinics, and three-quarters of the largest U.S. health systems.
More than 350 real-world data partners plug in. That footprint gives the DigitalOwl tech an immediate runway.
Both companies say the deal isn’t about flash—it’s about making data useful fast. InsurTech buzzwords aside, the endgame looks like this: a lawyer clicks once, an adjuster runs a query, and hours of digging vanish. Maybe. We think the industry, long allergic to speed, will find out soon enough.
