Reka's multimodal models let robots and industrial systems perceive, interpret, and act on complex visual environments - in real time, without the cloud latency that makes autonomy impractical.

[USE CASES]
Visual Quality Inspection
Catch defects, misalignments, and contamination on manufacturing lines at production speed. On-device inference means every part gets inspected — not a sampled batch.
Robot Navigation & Obstacle Understanding
Move through unstructured warehouses, construction sites, and outdoor environments. Reka Edge [7B] runs perception locally so robots react in milliseconds, not round-trips.
Sensor & Camera Anomaly Detection
Continuously analyse multi-stream sensor data for the early signal — the leak, the bearing wear, the off-pattern motion — before it becomes downtime.
Human–Robot Collaboration
Operators speak; robots understand. Natural-language instruction over visual context lets non-engineers redirect, retrain, and supervise systems on the shop floor.
[HOW IT WORKS]
Deploy to Your Hardware
Reka Edge [7B] runs on industrial GPUs, edge boxes, and on-board robot compute. No cloud dependency — model weights live on your device.
Connect Your Cameras & Sensors
Ingest from factory cameras, robot vision systems, LIDAR, and multi-camera arrays. Reka handles the full multimodal input stream natively.

Fine-Tune for Your Domain
Adapt the model to your defects, your environment, your task. We provide the workflow to fine-tune on proprietary datasets without them leaving your network.
Run in Real Time
Sub-second perception in production. The robot sees, decides, and acts before the cloud round-trip would have even started.
[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]




