We’re proud to be recognized by Built In as one of the 33 Top Digital Health Companies in 2026.
Built In is a go-to platform for tech professionals to explore workplace culture and career opportunities. Their recognition highlights companies pushing boundaries in health and wellness, and we’re proud to be in that mix.
The spotlight highlighted how our technology is optimizing the healthcare benefits experience, including our AI virtual assistant Zoe and our 24/7 telehealth access.
Curious about how our team helps simplify benefits for employers and their employees? Request a demo and see the Healthee platform in action.
We went through Built In’s list and chose 10 companies working to solve problems that really caught our eye (some of these companies work with Healthee, too!). We also added three companies that didn’t make the list, but probably should have.
Prior authorization is one of healthcare’s most frustrating areas. It’s a process designed for oversight that often delays care. Cohere Health is applying AI to make it faster and more predictable for both providers and patients. It’s a hard problem with real consequences, and their framing of prior authorization as “an ally, not an obstacle” is the right energy for it.
WHOOP has built a loyal following by going deep on recovery and readiness data rather than chasing steps. Their screen-free design is a deliberate choice — the data lives in the app, which keeps the focus on trends over time rather than real-time distraction. As more employers think about supporting employee well-being proactively, continuous health data becomes a more valuable input.
PatientPoint puts health education content in exam rooms and waiting areas. It sounds simple, but timing matters enormously in healthcare. Catching someone in a clinical setting, when they’re already in a health mindset, is one of the most effective moments to deliver relevant information. Their approach to meeting patients where they are (literally) is worth paying attention to as the industry thinks harder about engagement.
Flatiron has built something rare in healthcare: a real-world data platform that oncologists, researchers, and regulators all trust. By structuring data from cancer care centers at scale, they’ve created an infrastructure that accelerates drug development and improves how clinical trials are designed. It’s a good example of how better data architecture, not just better treatments, can move health outcomes.
Registered dietitians are one of the most underutilized resources in the healthcare system, partly because people assume their insurance won’t cover them. Nourish has built a platform that accepts hundreds of insurance plans, meaning most users pay nothing. The fact that they’ve removed the cost barrier and made access easy is why it’s becoming so popular.
The FDA clearance pathway for software-based treatments is still new territory, and Click Therapeutics is one of the companies helping define what it looks like. Their programs (currently targeting smoking cessation, with depression and chronic pain in the pipeline) go through clinical validation the same way drugs do. If that model proves out at scale, it changes what a “prescription” can mean.
About 80% of health outcomes are driven by factors outside clinical care, such as housing, food security, transportation, and economic stability. Findhelp has built a solution that connects people to social services at scale, and they’ve done it in a way that health systems, payers, and public agencies can all plug into. It’s one of the more serious attempts to operationalize the “social determinants of health” conversation.
Physicians spend nearly half their working hours on documentation, time that isn’t going to patients. Freed listens to clinical conversations and generates structured notes automatically, which is one of the more direct remedies for the administrative burden driving burnout. The technology isn’t new, but Freed’s execution and focus on fitting into existing workflows have earned them real traction in primary care.
Cardiovascular conditions are often managed episodically (a check-up every few months) even though the underlying data is continuous. Prolaio pulls in streams from wearables and home monitors and applies analytics to give care teams an ongoing picture rather than snapshots. For high-risk patients, the shift from periodic to continuous surveillance has the potential to catch deterioration before it becomes a crisis.
Zocdoc made searching for a doctor feel like booking a restaurant — filter by insurance, specialty, location, and availability, then confirm in seconds. That sounds basic, but it was a genuine leap from what the experience looked like before. The interesting question now is what comes after scheduling: cost estimates, coverage clarity, and care coordination. There’s a lot of ground still to cover in the patient experience.
Musculoskeletal conditions — back pain, joint pain, nerve issues — are among the most common and costly claims for self-insured employers, and they’re also among the most overtreated. Aware Health partners with employers to handle MSK care virtually, triaging employees on the day of injury and steering them toward the right level of care rather than defaulting to imaging and specialist referrals. The case for getting MSK right the first time is hard to argue with.
One in five American workers is an unpaid caregiver for an aging parent, spouse, or family member with a disability. And most employers have no structured support to offer them. Homethrive fills that gap with a platform that combines a digital care navigation assistant with access to real social workers who can help families distinguish between skilled vs. non-skilled care, dementia resources, Medicare, end-of-life planning, and more. It’s a benefit that addresses a massive, largely invisible source of employee stress, and the population that needs it is only growing.
Most AI in healthcare gets applied to problems that already have decent solutions. Qure.ai is going after a harder one: bringing radiology-grade diagnostic reads to places that don’t have radiologists. Their deep-learning models analyze chest X-rays and CT scans for TB, cancer, and stroke — deployed primarily in low-resource settings across emerging markets. Named a TIME100 Most Influential Company in 2025, they’re a useful reminder that the most consequential applications of health AI aren’t always the ones getting the most press.
