Direct answer
What is Reka?
Reka is an AI research lab and platform providing omni multimodal foundation models and infrastructure engineered for real-time video reasoning, robotics, and physical-world AI.
Reka is an AI research organization formed by researchers and engineers from Google DeepMind and Meta, including contributors to Gemini and Veo. The platform focuses on foundational intelligence for the physical world, training native omni models that process and generate multiple data modalities simultaneously within a single architecture. Designed for demanding physical-world tasks ranging from autonomous robotics to wearable consumer devices, Reka offers several core infrastructure components. Reka Cloud enables organizations to train, customize, and deploy models at scale. Its video processing infrastructure allows developers to tag, reason over, search, and clip high-volume video datasets using an API, Model Context Protocol (MCP), or web interfaces. In addition, Reka integrates with workspace and content platforms like Google Drive, YouTube, and Instagram for media workflows and document ingestion.
Unlike text-centric model providers, Reka specializes in real-time omni models and video processing infrastructure built to reason across video, audio, and physical trajectories for robotics and wearables.
Product capabilities
Key features
Omni Multimodal Models
Natively processes and generates multiple data modalities in real time within a unified model architecture, powering physical-world applications such as robotics and wearables.
Video Processing Infrastructure
Enables tagging, semantic reasoning, search, and automated clipping across large video archives, accessible via REST API, MCP, or application interfaces.
Reka Cloud
Dedicated infrastructure engineered to train, customize, and deploy proprietary and frontier AI models with high performance and efficiency.
CLARU Data Infrastructure
Provides specialized training data pipelines for frontier AI, including egocentric video, robotics trajectories, world-model footage, and expert human judgment.
Document and Drive Integration
Allows document analysis (such as PDFs) with temporary secure Amazon S3 processing and native Google Drive connectivity.
Practical fit
Who should use Reka?
Large-Scale Video Reasoning and Search
Indexing and searching through enterprise video archives to surface specific visual moments, tag scenes, and generate relevant clips automatically.
Physical AI and Robotics Development
Supplying real-time multimodal foundation models, such as Reka Edge 2, to control and inform robotic systems and next-generation wearable hardware.
Multimodal Content Publishing
Connecting user workflows to external services like YouTube and Instagram to publish approved video and media content directly from the application.
Editorial assessment
Pros and limitations
Where it is strong
- Native multimodal architecture designed from the ground up for real-time video, audio, and physical-world reasoning
- Flexible integration options supporting standard APIs, Model Context Protocol (MCP), and application access
- Strict data privacy terms for paying API users and Google Drive connections, preventing customer data from being used for model training
Where to be careful
- Specific per-token pricing and cloud infrastructure rates are not detailed transparently on the homepage
- Primarily oriented toward technical developers and enterprise physical-AI deployments rather than everyday office productivity
Commercial context
Reka pricing
At the review date in September 2026, Reka provides free access via Reka Hub or promotional API credits, alongside paid API credits and enterprise access via demo requests. Detailed per-token or infrastructure pricing is not published on the main site; buyers should verify current pricing with the vendor.
Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.
Transparent ranking
Why Reka scores 73.4
Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.
Compatibility
Languages, platforms, and integrations
Languages
- English
Platforms
- Web
- API
Integrations & surfaces
- Google Drive
- YouTube
- Amazon S3
Community
Reviews and questions
No approved member reviews yet. Editorial factors above are the only rating on this page.
Reviews and questions come from Google-signed members and are checked by an editor before they appear.
Frequently asked
Reka FAQ
What is Reka?+
Reka is an AI research lab and platform building foundational omni models and infrastructure designed for physical AI, robotics, wearables, and real-time multimodal reasoning.
How can developers access Reka's video infrastructure?+
Reka's video processing infrastructure is accessible via API, Model Context Protocol (MCP), or through their application interface.
Does Reka use customer inputs to train its models?+
According to Reka's privacy policy, paid API requests and content from Google Drive are not used for model training unless users explicitly opt in. Free usage through Reka Hub or promotional API credits may be used to train and improve machine learning models.
How does Reka handle document uploads?+
Uploaded documents such as PDFs are temporarily stored in secure Amazon S3 buckets using short-term access links and automatically deleted within a set timeframe, such as 24 hours.
