Gravity Rail launches with $2.75 million seed investment for no-code healthcare AI
Gravity Rail launched with a $2.75 million seed investment led by Redesign Health. The no-code, model-agnostic platform lets healthcare teams build AI engagement workflows and reported early gains in referral appointments and trial recruitment.
Gravity Rail has officially launched with a $2.75 million seed investment led by Redesign Health. The platform functions as a model-agnostic operating system that allows healthcare teams to build and manage AI engagement workflows across voice, SMS, email, and web without writing code.
The company said the platform enables operations teams to translate Standard Operating Procedures into live AI infrastructure using natural language, rather than relying on outsourced "black box" solutions. Gravity Rail does not offer a single AI agent or a narrow point solution, but provides an operating system for engagement that allows health plans, provider groups, and clinical trial platforms to build, certify, and evolve their own AI workflows in-house.
Gravity Rail said early deployments have resulted in a 30% increase in first-scheduled appointment rates for referral workflows and a 10x increase in volume capacity for clinical trial recruitment. In one example, Leapcure, a clinical trial recruitment platform, utilized Gravity Rail to engage 30,000 patients without a proportional increase in staff burden.
The infrastructure is HIPAA-compliant with zero data retention and supports all major enterprise AI models, which the company said helps prevent vendor lock-in as technology evolves. The system also includes structured certification and full auditability, with high-volume, repeatable tasks handled by AI and complex decisions and escalations routed back to human staff.
Gravity Rail said organizations can automate multi-touch journeys such as medication adherence, enrollment, and care coordination using their own protocols. The company said the architecture allows organizations to adopt new technical capabilities or benefit from cost improvements in the AI market without rebuilding their engagement infrastructure.