Gravity Rail announced its official launch alongside a $2.75 million seed funding round led by Redesign Health, introducing a platform designed to help healthcare organizations build, manage, and evolve AI-powered patient engagement workflows across multiple channels.
The company, co-founded by CEO Scott Hoch and CTO Dan Walmsley, is positioning its platform as a model-agnostic operating system that enables care teams to design and run engagement workflows without relying on external vendors or writing code. The system supports communication across phone, SMS, email, web, and messaging channels, allowing healthcare teams to directly control patient outreach, enrollment, and care coordination processes.
Gravity Rail aims to address growing operational challenges in healthcare, where administrative costs exceed $1 trillion annually and communication gaps often lead to missed appointments, delayed treatment, and inefficiencies in care delivery. The platform shifts AI deployment from fragmented tools toward internally managed systems that can be continuously updated as protocols and models evolve.
The platform is built for a wide range of organizations, including health plans, provider groups, contact centers, digital health companies, and clinical trial platforms. It allows teams to translate standard operating procedures into live workflows using natural language, supporting use cases such as automating call center interactions, managing patient onboarding, improving medication adherence, and coordinating outreach in real time.
Early deployments have demonstrated measurable improvements. Organizations using Gravity Rail have reported connecting with patients two to three times more frequently, reducing handle times, and increasing satisfaction. Referral workflows have shown a 30% increase in first scheduled appointment rates compared to manual processes.
One deployment with Leapcure enabled engagement with approximately 30,000 patients, significantly increasing scale without a corresponding rise in operational burden. Another customer, Harmonic Health, used the platform to improve referral management and patient follow-up efficiency.
The platform is designed with a human-plus-AI approach, where automation handles high-volume, repetitive tasks while human staff oversee complex decisions and care delivery. It includes compliance features such as structured certification, escalation rules, and full auditability, and operates under HIPAA-compliant agreements with zero data retention.
Gravity Rail has been in production for about a year and is currently used by multiple healthcare organizations. With its public launch, the company plans to expand adoption and build a broader ecosystem of AI-driven workflows that can operate at scale while maintaining governance and compliance.
KEY QUOTES:
“Most AI in healthcare today is modern technology wrapped in yesterday’s business model. A vendor builds a workflow, hands it over, and within weeks the team is working around it. The gap shows up after deployment. Payer rules change, protocols evolve, better models emerge, and updates require coordination with an external vendor. AI transformation has to happen inside the organization. We put control in the hands of the people doing the work, turning protocols into live infrastructure they can see, test, and evolve continuously. As models commoditize, the advantage shifts to the organizations that can adapt fastest.”
Scott Hoch, CEO, Gravity Rail
“We reached a point where referrals were coming in faster than our team could manage. We introduced AI in a focused, controlled way to follow up, and saw a meaningful lift in first appointment rates. From there, we’ve continued to expand thoughtfully, and it’s becoming an important part of how we operate.”
Christopher Young, COO, Harmonic Health
“Dan and Scott saw something most founders in this space miss. The constraint on AI adoption in healthcare isn’t the models—it’s that clinical operations teams have no way to own, test, and evolve AI workflows on their terms. Gravity Rail is the first platform we’ve seen that solves that problem directly. We led this investment because the architecture reflects how healthcare organizations will actually operate AI at scale, not how vendors wish they would.”
Neil Patel, Head of Ventures, Redesign Health
