Where is Reka AI headquartered?

Reka AI is headquartered in Sunnyvale, USA. The company has a team of 51-200 people.

When was Reka AI founded?

Reka AI was founded in 2022. It is based in Sunnyvale, USA.

Who is the CEO of Reka AI?

Dani Yogatama is the CEO of Reka AI. The company was founded in 2022.

Where is Reka AI located?

Reka AI is headquartered in Sunnyvale, USA.

What funding stage is Reka AI at?

Reka AI is currently at the Growth Stage stage.

How many employees does Reka AI have?

Reka AI has approximately 51-200 employees.

Reka AI

Category: Foundation Models / LLMs

Reka AI is an AI research and product company that develops enterprise-focused, multimodal generative AI models and solutions capable of understanding and processing text, images, video, and audio. Reka AI was founded in 2022. The company is led by Dani Yogatama. Based in Sunnyvale, USA. Team size: 51-200. Total funding raised: $168M. Latest round: Series B ($110M, backed by NVIDIA and Snowflake). Key investors include ["Snowflake Ventures","NVIDIA","DST Global Partners","Radical Ventures","Nat Friedman"].

Founded: 2022
Headquarters: Sunnyvale, USA
Team size: 51-200
Total funding: $168M

Value proposition

Reka offers powerful, efficient, and customizable multimodal AI models that enable businesses to build next-generation AI applications. Their key value lies in providing frontier-level performance with cost-effective, flexible deployment options that can handle diverse data types, bridging the gap between AI potential and real-world application.

Products and solutions

["Reka Core: A high-performance, frontier-class multimodal model comparable to leading industry models.","Reka Flash: A fast, efficient, and scalable 21B parameter multimodal model.","Reka Edge: A lightweight and performant model designed for on-device and low-latency deployments.","Nexus: A platform for enterprises to create and manage specialized AI agents and workers (Private Beta).","Guardian: An AI-powered, real-time video monitoring and understanding solution (Private Beta).","Yasa: A multimodal AI assistant for understanding images, videos, and tabular data.","Reka API: Provides access to their suite of generative AI models."]

Unique value

Reka's core innovation lies in its 'multimodality-native' approach, building models from the ground up to inherently understand and reason across a combination of text, images, video, and audio. Unlike competitors who may add modalities to existing language models, Reka focuses on creating a unified understanding. They also provide a spectrum of model sizes (Core, Flash, Edge) optimized for different use cases, from powerful cloud-based reasoning to efficient on-device performance.

Target customer

The primary target customers are enterprises seeking to integrate advanced AI capabilities into their workflows. They also cater to developers, creators, and organizations that require customizable and deployable AI models, offering cloud, on-premise, and on-device solutions.

Industries served

["Enterprise Software","Cloud Computing","Media & Entertainment","E-commerce","Manufacturing","Gaming Technology"]

Technology advantage

Reka's key advantage stems from its founding team of distinguished scientists from top research labs like Google DeepMind, Meta AI, and Baidu, providing deep expertise in AI model development. The company operates a full-stack strategy, training its own proprietary foundation models and building applications on top of them. This allows for greater control, customization, and the development of specialized 'agentic AI' capable of performing complex, multi-step tasks.

How they differentiate

Reka AI differentiates itself by focusing on developing highly efficient, multimodal AI models (capable of processing text, images, video, and audio) that are customizable for enterprise applications. They offer a suite of models of varying sizes (Core, Flash, Edge) to cater to different performance and cost needs, from powerful cloud-based models to lightweight ones that can run on-device. Their proprietary 'distillation' technology allows them to create smaller, specialized models for specific use cases, which is a key distinction from competitors who often focus on large, general-purpose models.

Main competitors

["OpenAI","Anthropic","Cohere"]

Key partnerships

["Snowflake: Integrating Reka's multimodal models into the Snowflake Cortex AI platform for enterprise data.","Oracle: Utilizing Oracle Cloud Infrastructure (OCI) for training and making Reka's models available on the Oracle Cloud Marketplace.","NVIDIA: An investor and likely partner for GPU hardware and infrastructure.","Shutterstock: Collaborating to generate intelligent metadata for Shutterstock's vast library of images and videos.","AI Singapore: Partnering to develop advanced AI models tailored for the Southeast Asian region.","Alibaba Cloud: Offering Reka's models on the Alibaba Cloud marketplace to expand global reach.","Carahsoft: Partnering to deliver Reka's multimodal AI solutions to U.S. Public Sector agencies through Carahsoft's reseller network and government contracts."]

Notable customers

["Snowflake (also an investor and partner, offering Reka's models to its customers)","NVIDIA (partner for integrating Reka's vision models with NVIDIA's AI blueprints)","Telkom Indonesia (strategic partner)","Alibaba Cloud (strategic partner)"]

Major milestones

["Founded in 2022 by leading AI researchers from Google, Meta, and DeepMind.","Emerged from stealth in June 2023 with a $58 million funding round.","Launched a suite of multimodal models, including Reka Core, which benchmarks competitively against models from OpenAI and Anthropic.","Announced a $110 million funding round in July 2025, achieving a valuation of over $1 billion.","Established key strategic partnerships with NVIDIA and Snowflake to expand its enterprise reach."]

Growth metrics

While specific revenue figures are not public, Reka AI achieved a unicorn valuation of over $1 billion in its latest funding round. The company has rapidly developed and released a suite of multimodal models (Core, Flash, Edge, Spark) that are competitive with leading models from major AI labs.

Market positioning

Reka AI is positioned as a research-driven startup building enterprise-grade, multimodal foundation models. Founded by former top researchers from Google, Meta, and DeepMind, it competes with major AI labs while also forming strategic partnerships with large technology companies like NVIDIA and Snowflake. They target enterprises looking for customized, cost-effective AI solutions that can be deployed across various environments, including on-premise and cloud.

Geographic focus

Reka AI is headquartered in Sunnyvale, California, and operates with a globally distributed team. While its primary focus is the US market, it has also established strategic partnerships in Asia with companies like Telkom Indonesia and Alibaba Cloud, indicating a strategy for global expansion.

Patents and IP

No public patents have been found. The company's intellectual property appears to be concentrated in its proprietary model architectures, training methodologies, and the collective expertise of its research and engineering teams.

About Dani Yogatama

Dani Yogatama is a distinguished figure in the AI industry, currently serving as the Co-founder and CEO of Reka AI. His career is marked by significant contributions to AI research and development, with a focus on natural language processing and deep learning. Before establishing Reka AI, he was a Senior Staff Research Scientist at DeepMind, where he made substantial advancements in large-scale language models. His experience also includes a tenure at Baidu's Silicon Valley AI Lab, further solidifying his expertise in cutting-edge AI technologies. Dani holds a Ph.D. in Language and Information Technologies from Carnegie Mellon University, a testament to his strong academic foundation. His leadership at Reka AI is driven by a vision to push the boundaries of AI and create impactful, real-world applications.

Official website: https://reka.ai