Customer Story
How an AI-powered surgical intelligence platform achieved 5× faster development on Akka.
Leap Rail built an AI platform for operating room intelligence on Akka — achieving 5× faster development with 20× fewer developers than comparable healthcare AI systems, delivering real-time surgical workflow analysis to hospitals.
Akka ROI Scorecard
faster development — from concept to production surgical AI in a fraction of the time.
fewer developers needed compared to building equivalent capabilities from scratch.
surgical workflow analysis processing live operating room data streams.
Business outcome: AI-powered operating room intelligence delivered to hospitals with a lean team.
Healthcare AI in the operating room is one of the most demanding real-time computing challenges. Leap Rail needed to process multiple live video and sensor feeds simultaneously, run AI inference for surgical step recognition, and deliver actionable insights to surgical teams — all with the reliability and latency requirements of a medical setting.
Building such a system typically requires large engineering teams and years of development. “We needed to build something that would normally require a team of 40 or 50 engineers,” says Shayan Zadeh, CEO. “The technology choices we made had to multiply our small team’s output dramatically.”
Akka allowed Leap Rail to decompose their complex AI pipeline into independent, concurrent processing stages — video ingestion, feature extraction, model inference, and result delivery — each running in isolation and able to fail and recover independently.
This architecture enabled a small team to build and operate a sophisticated real-time AI system. Distributed state management means patient data and surgical context are maintained durably throughout procedures, while supervision hierarchies ensure that a failure in one processing stage never compromises the overall system.
Speed to production. 5× faster development compared to building equivalent capabilities from scratch. Akka’s natural decomposition of concurrent workloads accelerated the development cycle dramatically.
Scale. Real-time processing of multiple simultaneous video and sensor feeds from operating rooms, with consistent low-latency inference.
Cost to operate. A team 20× smaller than what would normally be required to build and maintain a healthcare AI platform of this complexity.
Business impact. AI-powered surgical intelligence delivered to hospitals, enabling real-time workflow analysis that helps surgical teams improve efficiency and outcomes.
Surgical AI is evolving from passive observation to active assistance. On the Akka Agentic AI Platform, Leap Rail’s system becomes a suite of governed AI agents: a surgical workflow agent that tracks procedure progress and anticipates next steps, an equipment agent that monitors instrument availability, and a scheduling agent that optimizes operating room utilization.
These agents collaborate in real time while maintaining strict medical-grade audit trails — every recommendation traceable to its data source and model version. With durable state and event sourcing, the system meets healthcare’s stringent compliance requirements while enabling the next generation of AI-assisted surgery. Enterprises build on the Akka Agentic AI Platform directly, or have a system delivered and operated through Akka Specify.
