Research & Development at Hinge Health

We don't automate healthcare paperwork. We automate care.

Our mission

Most healthcare technology is finding clever ways to make the existing system slightly better. We're building a different system.

We have a business model that rewards us for actually healing people. That means we can invest in technology that delivers care directly, rather than technology that helps humans bill for it. That unlocks a genuinely different set of engineering challenges, starting with musculoskeletal care: AI that perceives movement, reasons about biomechanics, and adapts clinical guidance in real time. Systems built to regulatory-grade standards, not just demo-grade ones.

Making this possible is a team that has genuinely crossed into the autonomous-agent era. We build harnesses that let AI agents ship high-quality PRs without engineers writing a line of code. We review reasoning logs, not just diffs. We deploy agent-first workflows across hundreds of engineers. Our designers code, and our engineers build interactive prototypes.

Come build with us.

Latest from Our Blog

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Enso wearable device placed on a person's forehead
Matthew Gray, Sr. Staff Engineer 7 min read

Paying down the innovation tax: how migraine shipped in months not years

A year of platform work turned Hinge Health's next clinical launch into a configuration exercise — that's how migraine shipped in months, not years.

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Holographic "Ship it!" stickers scattered across a table
Nima Habibi-Beltijeh, Director of Product Design 7 min read

How 100% of our designers shipped production code within one month

Hinge Health set a goal: every designer ships a production PR within a month. Here's what that took, and how it reshaped what design means at the company.

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Diagram of the multi-stage Docker build lifecycle used in the distroless migration
Urmila Khichada, Lead AppSec Engineer, Madhuprasad B M, Lead Security Engineer 5 min read

How we eliminated 80% of container vulnerabilities without patching a single one

How Hinge Health cut ~80% of container CVEs and reached near-zero OS-level attack surface — by switching to distroless base images instead of patching.

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