Shoes That Turn Every Step Into Health Data

A foot strikes the ground roughly 5,000 times an hour of running. Every strike carries information — how weight rolled across the sole, how hard the impact landed, whether the ankle stayed neutral. Almost none of it ever gets measured. It just happens, invisibly, until something starts to hurt.

ORPHE, a Tokyo startup, builds shoe-based sensors designed to capture exactly that information. Its mission is blunt: "Sensing Feet, Changing Everything." The company makes the sensor hardware, compatible footwear, and the AI software that turns raw foot movement into something a runner, clinician, or researcher can actually read.

Why Foot Problems Stay Invisible Until They Don't

Gait issues are common but notoriously hard to catch early. Outside a lab with force plates and motion-capture cameras, there's no easy way to know whether a stride is gradually loading stress onto one ankle, or whether landing impact is creeping upward mid-run. By the time pain shows up, the mechanical issue has often been building for months.

Clinics have the right equipment, but it's expensive, stationary, and only captures a single snapshot during a short visit — not how someone's gait behaves across a real run or an ordinary day. That gap between lab-quality data and everyday movement is what ORPHE set out to close.

How ORPHE's Sensors Actually Work

The company's core hardware, ORPHE CORE, is a small sensor module built into the sole of a compatible shoe, tracking foot movement in real time. ORPHE pairs it with shoes designed specifically to hold the sensor securely without affecting fit.

ORPHE TRACK applies that technology to running, capturing pronation, ground contact time, landing impact force, stride length, cadence, and landing pattern — the kind of detail a coach would normally need a treadmill lab to measure — then feeds it back as feedback to improve form and reduce injury risk.

ORPHE INSOLE, the newest product, goes further. It integrates six pressure sensors with a 6-axis motion unit sampling at up to 200 Hz, mapping weight distribution and balance across the whole foot rather than just tracking overall motion. On-device machine learning recognizes eight distinct motions — including walking, running, and squatting — without needing a cloud connection, running over 24 hours on a single charge in an ultra-thin, wireless-charging design. Users see the results as live 3D heat maps of balance and weight transfer over Bluetooth, turning lab-only data into something visible on a phone mid-walk.

A CES Award That Confirms the Direction

In January 2026, ORPHE INSOLE won a CES Innovation Award, Best of Innovation, in Sports & Fitness — the top tier of recognition, selected from a record-breaking field of submissions. Reviewers specifically noted its dual analysis approach: algorithm-based gait assessment running alongside machine-learning motion recognition, both processed entirely on-device.

One CES reviewer pointed out that foot problems remain among the most common health issues people face, yet among the hardest to diagnose precisely outside a clinical setting — exactly the gap ORPHE INSOLE is built to close through continuous, real-world measurement instead of a single clinic visit.

Where the Technology Is Already Being Used

ORPHE's gait data extends well past sports. The company built an open-source SDK and developer libraries so researchers, clinicians, and outside companies can build on its sensor data directly.

Japanese cosmetics company Shiseido partnered with ORPHE on a "Gait Beauty Measurement System," using ORPHE's sensors and ORPHE ANALYTICS platform to quantify the aesthetic qualities of someone's walk across more than 200 data points, then generate posture and movement recommendations. The project won its own CES Innovation Award in 2025, showing ORPHE's sensor platform has value well outside athletic performance.

ORPHE has also extended into workplace safety with a fall-detection insole system for factory floors — applying the same gait-sensing technology to a completely different risk category.

What This Adds Up To

What ties ORPHE's products together is one idea: the foot generates a constant stream of mechanical information during ordinary movement, and almost none of it has historically been captured outside a lab. CORE, TRACK, and INSOLE are three ways of pulling that information out and making it usable — for runners fixing their form, clinicians monitoring rehabilitation, researchers studying balance, and now industries like cosmetics and workplace safety that found unexpected value in the same underlying data.