Reka is an __artificial intelligence laboratory__ specializing in developing __multimodal models__ capable of processing simultaneously text, images, videos, and audio. Its range of models — Spark (1B), Edge (7B), Flash (21B), and Core (67B) — offers a spectrum from lightweight embedded applications to the most complex enterprise tasks. The platform offers several distinct products: __Reka Vision__ for large-scale video/image understanding and search, __Reka Speech__ for advanced audio transcription and translation, and __Reka Research__ for complex reasoning with web search. Access is via a __RESTful API__ with Python and JavaScript SDKs, an interactive playground, and __enterprise deployments__ in cloud, VPC, or air-gapped on-premise. Reka also publishes several key components open source on Hugging Face and GitHub.
What is Reka?
Reka is an artificial intelligence laboratory founded by former researchers from DeepMind, Google Brain, and Baidu. Its mission is to build multimodal models capable of perceiving and reasoning about the real world as it is: visual, auditory, and contextual. The platform consists of several complementary products — Chat, Vision, Speech, and Research — accessible via a unified API. Unlike general-purpose large language models, Reka is built natively to process video, image, and audio with the same depth as text.
Key Features
Reka’s model range covers four performance levels. Spark (1B parameters) is optimized for edge devices and embedded applications with very low latency. Edge (7B) is the fastest vision-language model in its category. Flash (21B) offers good balance between performance and cost for daily use. Core (67B) is the flagship model for the most complex multimodal tasks. Reka Vision is the platform’s most advanced product: it transforms video streams and image archives into structured and queryable data. It supports semantic search in natural language, automatic highlight and clip generation, object and action detection, multi-step visual Q&A, and automatic metadata tagging. Reka Speech offers audio transcription, speech translation, and speech-to-speech translation. Reka Research adds complex reasoning capabilities with integrated web search, structured output, and parallel thinking. The RESTful API is documented with Python and JavaScript SDKs, and application examples are available on GitHub.
Use Cases
Reka targets several demanding industrial sectors. In media and entertainment, the platform enables producing metadata for vast video archives, creating reels for social networks or personalized ads, and analyzing content safety. In physical security and smart cities, it enables searching for traffic incidents by natural description, detecting suspicious behavior, and generating activity reports. In industry and manufacturing, it monitors production lines, detects anomalies, and creates structured incident reports. Law enforcement uses Reka Vision to accelerate case resolution through intelligent search over camera feeds.
Advantages
Reka’s main advantage is its ability to transform unstructured visual and audio data into actionable information without requiring complex processing infrastructure. Deployment flexibility — cloud, VPC, on-premise, air-gapped — allows even the most demanding organizations with strict security requirements to benefit from cutting-edge AI advances. Custom fine-tuning available on demand enables adapting models to specific domains, significantly increasing accuracy on business use cases. Finally, the open source commitment strengthens trust and facilitates integration into existing pipelines.
Pricing
Reka offers a free playground accessible without subscription to explore model capabilities. Complete API access is available on the developer platform with consumption-based pricing (tokens and video/audio processing minutes). Enterprise deployments — notably on-premise, VPC, and air-gapped options — are subject to contracts negotiated directly with the commercial team. Additional credit packs are available for intensive one-time usage.
Conclusion
Reka represents a serious and differentiating option for any organization needing to understand and exploit multimodal data at scale. Its range of models covering all performance levels, deployment flexibility, and real-world-centered vision make it a credible technology partner for companies in media, security, industry, and defense. A platform to seriously consider for any AI project involving video or audio.