Description
Reka describes itself as an AI research lab building foundational intelligence for the physical world, with a team of more than 50 researchers and engineers who previously worked at Google DeepMind and Meta, including people the company says worked on Gemini and Veo. Its stated approach is to scale up 'omni' models, meaning models built to natively process and generate multiple types of data such as video, image and text within a single architecture, and to run them in real time.
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Reka's product line spans several areas. Reka Vision is a multimodal system for interpreting, searching and reasoning across video and image content: it builds searchable representations of visual content with object, action, scene and event recognition, supports natural-language search across long videos, automatically generates highlight clips and captions, and can answer multi-step questions that require reasoning over a sequence of frames. Reka Cloud is infrastructure for training, customizing and deploying AI models. A separate offering, Claru, builds training data for frontier AI, including egocentric video, robotics trajectories and world-model footage.
Reka positions this technology for industries including manufacturing, cars and telematics, media and entertainment, extended reality, and defense and security, with example applications such as visual quality inspection on production lines, robot navigation and obstacle understanding, and anomaly detection from camera or sensor feeds. The company publishes a case study with an Ohio police department using Reka Vision for investigative video search, reporting faster case resolution and officer satisfaction gains, alongside cost savings.
Reka's tools are accessed through a requested demo, an API, or MCP rather than a self-serve consumer signup, and the company doesn't publish pricing. It's aimed at enterprises and research organizations building physical-world AI applications, such as robotics, security and manufacturing systems, rather than at individual developers looking for a general-purpose chat model.
Reka frames its work as ecosystem-wide rather than a single product: alongside Vision, Cloud and Claru, its site lists a dedicated research arm doing R&D on foundational intelligence for the physical world, plus further ecosystem components (Labs, Infer) referenced in its navigation. The company also publishes some of its findings as 'Working Notes' rather than keeping all of its methods proprietary.
- CategoryMachine Learning Platforms
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Reka's Core Features
Multimodal 'omni' models built to process and generate video, image and text in one architecture
Semantic, natural-language search across large volumes of video
Automatic highlight and clip generation from long-form video, with captions
Visual reasoning and Q&A over sequences of video frames
Reka Cloud infrastructure for training, customizing and deploying models
Claru training-data pipeline covering egocentric video and robotics trajectories
API and MCP access for integrating video intelligence into other systems
Industry-specific applications for manufacturing, security and media
How to use Reka?
Request a demo: Contact Reka through the site to discuss a use case.
Pick a product: Choose between Reka Vision for video intelligence or Reka Cloud for model training and deployment.
Connect your data: Feed in video, image or sensor data through the API or MCP.
Search or ask questions: Use natural-language search or Q&A to retrieve events and insights from the video.
Generate outputs: Produce highlight clips, incident reports or structured summaries from the analyzed footage.
Reka's Use Cases
- Video investigation search
- Manufacturing quality inspection
- Robot perception
- Model training and deployment
