# Reka review > 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. - Canonical: https://toolsrankai.com/tools/reka - Official site: https://www.reka.ai/ - ToolsRank rank / score: #402 / 73.4 (methodology https://toolsrankai.com/methodology) - Categories: AI Assistants - Pricing: Free tier / Usage credits / Enterprise demo. 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. - Fact-checked: 2026-09-08 · First listed: 2026-09-23 ## Verdict Reka is built for technical teams and enterprise organizations that require deep video understanding, multimodal reasoning, and infrastructure tailored to physical AI. It is less suited for general consumers looking for an off-the-shelf writing assistant or casual chat tool. ## What it is 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. **What makes it different:** 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. **Best for:** developers and enterprises building robotics, wearable tech, and multimodal applications requiring large-scale video reasoning and tagging **Not ideal for:** non-technical users looking for ready-made document templates or simple text-only writing assistants ## 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. ## Use cases - **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. ## Pros - 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 ## Limitations - 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 ## 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. Vendor prices and limits change; verify on the official pricing page before purchasing. ## Score factors - editorial: 78 (editorial) - utility: 75 (editorial) - trust: 78 (editorial) - freshness: 82 (editorial) - engagement: 7 (measured) - momentum: 100 (measured) ## Languages, platforms, integrations - Languages: English - Platforms: Web, API - Integrations: Google Drive, YouTube, Instagram, Amazon S3 ## 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. ## Alternatives - [Google Gemini](https://toolsrankai.com/tools/gemini) — Google's multimodal assistant with deep hooks into Search, Workspace, and Android. - [Claude](https://toolsrankai.com/tools/claude) — A thoughtful AI collaborator for writing, analysis, coding, and long-form work. - [ChatGPT](https://toolsrankai.com/tools/chatgpt) — A broad multimodal assistant for research, creation, analysis, and agentic work. - [Mistral Le Chat](https://toolsrankai.com/tools/mistral-le-chat) — A European AI assistant from Mistral with fast responses, open-weight roots, and enterprise deployment options. - [DeepSeek](https://toolsrankai.com/tools/deepseek) — Open-weight reasoning and chat models from DeepSeek, available through a free app and low-cost API. ## Sources checked - [Reka Official Homepage](https://www.reka.ai/) - [Reka Privacy Policy](https://www.reka.ai/legal/privacy-policy) --- Cite https://toolsrankai.com/tools/reka for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.