U.S. digital health startups raised $7.4 billion across 244 deals in the first half of 2026, up from $6.4 billion in the same period last year on nearly the same number of deals.
Rock Health’s H1 2026 market report, published July 13, found that money is no longer chasing AI capability on its own. Investors and buyers have moved past asking who has AI and are instead asking a harder question: What can a company offer that AI alone can’t replicate?
Here are five things to know from the report:
- Funding is up, and capital is concentrating. Mega deals of $100 million or more accounted for 45% of all capital invested in the first half of 2026, even though they made up just over 8% of deals. Nineteen companies raised 20 mega deals; 13 went to first-time recipients, while companies like Garner Health and Aidoc landed back-to-back mega rounds within the same year.
- AI is no longer a pitch on its own. As foundation models improve and AI tools become cheaper and easier to build, technical differentiation is eroding fast, the report found. Epic is giving hospitals more ways to build their own AI agents in-house, raising the bar for outside vendors to prove they’re worth the contract.
- Founder domain expertise is a top signal for early-stage investors. Founders with real experience inside the health systems or clinics they’re selling to tend to spot the operational problems worth solving, rather than chasing whatever AI makes possible next.
- Some companies are expanding to own more of the workflow. Some of the best-funded digital health companies are moving beyond their original product to control more of the “operating layer” inside health systems. The more context a platform has across tasks, the easier it is to coordinate work rather than optimize each piece alone. Rock Health flagged a real risk here: as vendors expand their roadmaps in parallel, their offerings could start overlapping with each other, and with Epic.
- AI has raised the bar for hands-on implementation. Buyers increasingly want vendors who adapt their products to how work actually happens on the ground, not ones who install a tool and leave. That’s pushing some startups toward forward-deployed engineers, a role borrowed from other industries, who embed with customers to co-build custom workflows. Commure and Qualified Health have built their go-to-market around this model, and Anthropic and OpenAI have each built out life sciences teams that send their own forward-deployed engineers to health systems.
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