It’s a daily nightmare that every clinician knows too well: drowning in patient data that doesn’t talk to each other.
Faxes. PDFs. Scanned notes. Handwritten charts from another century. Somewhere inside those files is the story of a patient’s health. But for doctors and nurses, finding it can take hours.
Enter Christopher Lee and James Lloyd from Fourier Health, which launched last year.
“Unstructured data in clinical care needs to be reimagined,” Lee said in a statement. “The inefficiencies that plague scattered patient data, especially when providers waste so much time synthesizing it into something useful, are solvable.”
The Miami-based startup has built an AI platform designed to comb through mountains of disjointed information and produce concise, use-case-specific summaries. Instead of sifting through dozens of attachments, clinicians can get an instant, accurate picture of what they need to know before seeing a patient.
The company’s approach is what Lee calls “domain-specific AI.” It’s a combination of healthcare expertise and large language models, but with human clinicians still in the loop to verify and refine the system’s output. The result is a tool that can both save time and maintain medical accuracy – a balance that’s notoriously hard to achieve in healthcare AI.
According to Fourier, its platform can cut document validation by more than 98 percent and return up to three hours of administrative time per patient. For hospitals and clinics already struggling with burnout and staffing shortages, that’s not a small thing.
Investors are taking note. The company just raised an $8.4 million seed round led by Yosemite, with participation from Innospark Ventures, NextGen Venture Partners, and Tau Ventures. It follows an earlier pre-seed from Lasagna, Myelin, and Despierta.
Lloyd, Fourier’s CTO and a veteran of Redox Health – a major healthcare interoperability platform – said that what makes the technology work isn’t the AI itself but where it sits.
“Recent advancements in AI and LLM technologies have unlocked a world of new possibilities, yet the secret to making these truly useful and safe for patients and providers is to seamlessly embed these technologies within the existing data streams and workflows in health systems,” he said.
In other words, it’s not about reinventing healthcare from scratch. It’s about quietly improving what already exists, removing the friction that keeps patient data trapped in silos.
Matt Bettonville of Yosemite, the round’s lead investor, said that’s exactly what made the company stand out. “Fourier is setting the standard for how AI can be applied in healthcare to reduce administrative burden and reduce time to treatment for the patients most in need of care,” he said.
Beyond efficiency, Fourier’s founders see their work as a way to restore a little humanity to healthcare. Every minute that clinicians spend buried in paperwork is a minute they can’t spend with patients. Automating those tedious tasks makes the system more productive, and more human in the process.
READ MORE IN REFRESH MIAMI:
- OneImaging raises $38M to fix the broken world of medical scans
- Sofya bets on Miami to scale frontier AI in healthcare, building a second brain for doctors
- From testosterone to tech stack, Gameday Men’s Health is scaling like a startup
- Ascenta Capital closes $325M inaugural fund to back biotechs
- DermaSensor raises $16M to get its AI-powered skin cancer detection device to more primary care doctors
- MATERIAL raises $7.1M to reshape how batteries are made - January 14, 2026
- This Miami proptech just raised $2.5M to speed up property title verification - January 14, 2026
- Remitian is fixing the broken moment in tax compliance no one talks about - January 13, 2026