Reka brings multimodal intelligence to vehicle systems — from in-cabin understanding to fleet telematics — enabling smarter, safer, and more connected mobility at scale. Sub-80ms on embedded hardware.
[USE CASES]
Driver Behaviour Analysis
Combine video and sensor data to identify drowsiness, distraction, and risky manoeuvres in context — not just acceleration thresholds.
Dashcam Event Detection & Incident Classification
Surface the moments that matter: collisions, near-misses, road hazards. Auto-classify incidents so claims, coaching, and route planning run on real signal.
Fleet Monitoring with Multimodal Alerts
Move beyond GPS pings. Generate alerts and reports that combine location, video, and sensor data — so dispatch sees what actually happened, not just where.
In-Cabin Voice & Vision for ADAS
Natural-language interaction grounded in what the car can actually see — inside the cabin and on the road. Built for the next generation of driver assistance.
[HOW IT WORKS]
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Run on Embedded Automotive Hardware
Reka Spark [1B] is built for the silicon already inside vehicles — automotive-grade SoCs, dashcam ECUs, fleet gateway boxes.
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Ingest Video, Sensor, and Voice Together
Cameras, CAN bus data, IMU, microphones — Reka processes them as one multimodal stream, not four disconnected pipelines.
Detect, Classify, and Flag in Real Time
Events get tagged with timestamps, video clips, and confidence scores the moment they happen — ready for the dispatcher's screen or the safety review queue.
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Sync to Your Fleet Stack
Outputs flow into the telematics platform, claims system, or coaching dashboard you already run. We integrate; we do not replace.
[FOR DEVELOPERS]
Start building in minutes
Integrate multimodal AI into your applications with our developer-friendly APIs, comprehensive documentation, and ready-to-use examples.
Powerful APIs
RESTful APIs with SDKs for Python, JavaScript, and more.
Comprehensive Docs
Detailed documentation, tutorials, and quickstart guides.
Sample Apps
Ready-to-use examples for common use cases.
Reka enabled Shutterstock to further monetize their massive multimedia library—500M photos and 50M videos—through automated metadata tagging.
“The quality of our content has long been the core of our business and we’re excited to leverage Reka’s AI capabilities to further enrich metadata and tagging of our content library.”
Paul Hennessy, CEO of Shutterstock
[GET STARTED]