Reka builds multimodal AI models and platforms designed for enterprise-grade intelligence across video, images, documents, and audio. Through its efficient training and inference architecture, the company delivers state-of-the-art capabilities with drastically lower compute usage. Its flagship products include Reka Flash for multimodal model access, Reka Vision for large-scale video/image reasoning, and Reka Research for agentic information synthesis. Reka's systems are used across media, security, research, and enterprise search applications.
What Is Reka and What Does It Do?
Reka, founded in 2021, is a United States–based multimodal AI company. It develops efficient AI models capable of understanding and reasoning across text, images, video, and audio.
The company builds enterprise platforms that support multimodal search, video interpretation, and agentic research workflows powered by AI.
Reka employs between 51–200 employees. Its technology focuses heavily on reducing compute costs while delivering frontier-level performance, enabling broader enterprise adoption of multimodal and agentic AI systems.
How Much Funding Has Reka Raised?
1. Series
- Amount Raised: $110M
- Lead Investors: NVIDIA, Snowflake
- Motivation: To accelerate multimodal AI development, scale infrastructure, and expand platform adoption globally.
Total Funding Raised: $110M
Key Investors
1. NVIDIA
- Details: Global leader in accelerated computing and AI hardware/software ecosystems.
- Investment Focus Areas: AI infrastructure, chips, cloud computing.
- Notable Investments: Recursion, Hugging Face, Reka.
2. Snowflake
- Details: Data cloud company investing in high-performance AI models to extend enterprise workloads.
- Investment Focus Areas: Data infrastructure, AI platforms, enterprise analytics.
- Notable Investments: Reka, Observe, Anaconda.
Where Is Reka’s Headquarters?
Reka is headquartered in the United States, benefiting from proximity to AI research talent and enterprise clients within tech-dense regions.
What’s Next for Reka?
Reka plans to scale its multimodal platforms for broader enterprise use, enhance agentic reasoning capabilities, and expand partnerships in media, automation, and research. The investment will accelerate technical development and global deployment.
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