Problem

Enterprises are generating enormous volumes of video, images, audio, and documents, but most of that data remains difficult and expensive to use. The core pain is not simply storage; it is finding the relevant moment, understanding its context, and turning it into an actionable answer without laborious manual review. Reka describes video insight as valuable only when organizations can find what matters when it matters, while conventional workflows can make extracting useful information practically impossible at scale.

The clearest killer use case is physical security. Security teams need to monitor restricted areas, investigate incidents, detect safety violations, and search across many cameras and long recordings. Instead of scrubbing timelines manually, an operator can ask questions such as whether someone entered a loading dock without a badge, retrieve relevant clips, receive alerts, and generate an incident summary. The economic value is faster investigations, fewer hours of manual review, and better coverage of footage that would otherwise go unused.

Product / Service

Reka builds natively multimodal “omni” models that process text, images, video, and audio within a single architecture, with an emphasis on real-time performance and efficient serving. Its model family includes Reka Flash, Edge, Core, and newer Spark offerings. The company packages these capabilities into products such as Reka Vision for visual understanding and search, Reka Research for web-and-private-document research, and video-processing infrastructure for tagging, reasoning over, searching, and clipping large video collections.

The delivery model is flexible: developers can use Reka through APIs, MCPs, and an application, while enterprises can connect private data, customize the systems, and deploy them through an API, private cloud, or on-premise environment. Reka Vision combines Watch, Search, and Chat modules to support content discovery, automated clipping, real-time incident monitoring, and detailed video analysis. Reka Research similarly uses multi-hop reasoning to turn work that may take hours into answers in minutes, with citations and structured outputs. The claimed benefit is frontier-level multimodal capability at lower compute cost, with deployment options suited to sensitive enterprise data.

Market

Reka competes in the market for multimodal foundation models, enterprise AI agents, and visual-intelligence infrastructure. Its broad model competitors include OpenAI’s GPT-family systems, Anthropic’s Claude, and Google’s Gemini; Reka’s own research positions Core against those frontier models on multimodal benchmarks. Its more application-specific competition includes enterprise video-analytics, surveillance, search, and content-automation platforms, where Reka differentiates through natural-language interaction, temporal video understanding, and the ability to build domain-specific solutions on top of its models.

The company shows meaningful commercial traction rather than being pre-revenue, although the available evidence does not establish a verified revenue figure. In July 2025 it announced $110 million of funding from new and existing investors including NVIDIA and Snowflake, and said its multimodal platforms had entered general availability. Reka identifies Shutterstock and Turing as users or partners; Turing’s Guardian AI surveillance product is built on Reka Vision, supports a security platform with more than 13,000 site deployments and over 10 million daily events, and is already used by U.S. law-enforcement officers. These partnerships indicate early enterprise adoption, with physical security as the strongest visible beachhead.