Second-time founder. Founded video technology company TeeVid, acquired in 2021.
Intelligence in human movement
Turning Motion into Identity.
Identify people by how they move — even when faces aren’t visible.
A new layer of identity for video intelligence.
Human movement.
Machine understanding.
Machine understanding.
Built on Large Biomechanical ModelsExplore the science
Dual-use technology for defense, security and civilian applications.
Defense & homeland securityPublic safetyCritical infrastructureCivilian applicationsVideo platforms & system integrators
01 / Introducing MotionID
Identify known people.
Compare sightings.
Find them again.
MotionID turns human movement into a biomechanical signature to:
Identify
Match a person to a known identity in a gallery or watchlist.
Match
Determine whether two different videos show the same person.
Re-identify
Recognize a person again within the same video or across different videos.
MotionID
Identity in motion.
From a few usable steps to a biomechanical signature. Identify, compare and re-identify people across video.
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MOTIONID / HOW IT WORKS
WorkflowFrom video to identity.
- 01
Ordinary video
Recorded footage or live feeds from ground cameras. Ground-to-air and air-to-ground matching are on the roadmap.
- 02
Biomechanical signature
MotionID analyzes a person’s movement to create a distinctive signature.
- 03
Identity results
Compare signatures to identify, match or re-identify people.
02 / MotionID: the first application of our foundation model.
Biomechanics
fused with AI.
Built on more than two decades of biomechanics research at Ben-Gurion University, our Large Biomechanical Models combine biomechanics and AI to understand human movement. MotionID turns a few usable walking steps from standard video into a distinctive biomechanical signature.
By comparing signatures with reference footage, MotionID can identify a known person, match appearances and re-identify people across cameras. It is designed to support reliable identification where facial recognition and conventional tracking struggle, including low-resolution video, long distances, occlusions, masks and changes in appearance. Our roadmap extends these capabilities to additional sensors, including ground-to-air and air-to-ground matching.
Prof. Raziel Riemer’s publications at BGU03 / Our team
Built by researchers
and founders.
MotionAnalytics combines expertise in biomechanics and AI with experience building technology products and successful startups.
Biomechanics researcher with more than 20 years of experience modeling human movement.
Research publications at BGU
Founder of PlayerMaker. More than a decade leading multidisciplinary R&D.
Advisors
Former CEO of Waze.
Venture Partner, Titan Capital Partners.
Careers
Explore careers Build the next layer of identity.
04 / Investors & support
Our investors
Interested in investing? Let’s talk.
Investor inquiries
05 / Awards, Recognition & Media
Awards, Recognition & Media
MIT–Harvard Tech
Top 20 globally innovative startups
CES 2027
Selected for the innovation section
EY The Journey 2026
Finalist — one of 8 startups
Show all recognitionShow less recognition
Hello Tomorrow
Selected as Deep Tech Pioneer
+RoadShow
One of 18 selected — Calcalist & Poalim Tech
HLS.IL
Top 10 promising HLS and dual-use startups
The Pitch by Deel
Tel Aviv selection — presented by J.P. Morgan
06 / FAQ
Questions about
MotionID.
What can MotionID do?
Identify people against a gallery or watchlist, determine whether two videos show the same person, and re-identify someone within or across videos.
Does MotionID rely on facial recognition?
No. MotionID uses patterns in how a person moves to create a biomechanical signature.
How can we evaluate MotionID for our use case?
Share your use case, video sources and deployment environment. Whether you need a standalone deployment, integration into an existing solution, or MotionID embedded in your product (OEM), we’ll discuss technical fit, arrange a demo and define an evaluation plan.
Talk about your deploymentWhat are Large Biomechanical Models (LBMs)?
Large Biomechanical Models are MotionAnalytics’ foundation for understanding human movement. MotionID is their first application, focused on identifying, matching and re-identifying people from video.
07 / Contact
See MotionID
in action.
Tell us about your interest in a demo, standalone deployment, integration, OEM, partnership or investment.
info@motionanalytics.io