Weka is a Campbell, CA-based AI-native data platform offering a cloud- and AI-native architecture deployable on-premises, in the cloud, and at the edge. Its platform transforms legacy data silos into dynamic data pipelines to accelerate GPU workloads, AI model training and inference, and other performance-intensive workloads. Weka's technology is designed to improve efficiency, reduce energy consumption, and lower associated carbon emissions. Over 300 of the world’s largest AI and GPU deployments run on the WEKA Data Platform. The company intends to use the new funding to increase cash reserves, scale rapidly to meet global demand for AI-native data infrastructure, and expand investments in developing its data platform software. The financing will also provide liquidity to Weka employees. Weka is a software-based data management provider whose WEKA Data Platform is purpose-built for the cloud and AI era. The platform is cloud-native and optimized to handle complex data challenges, delivering performance improvements on-premises, in the cloud, at the edge, and in hybrid and multicloud environments. Weka emphasizes sustainability and seamless data portability as part of its offering. The company operates in over 20 countries and is led by CEO Liran Zvibel. Weka plans to expand platform features and cloud integrations and to support new use cases while accelerating delivery of solutions to customers. The company intends to use recent funding to drive product development, global expansion, and to scale cloud, customer success, sales, marketing, operations, and human resources teams, and to reach profitability. WEKA (WekaIO) offers a unified, software-defined distributed file/object data platform optimized for NVMe-flash and the hybrid cloud to support AI/ML, life sciences research and high-performance computing. Its solutions target GPU-accelerated, data-intensive workloads and are deployed by eight of the Fortune 50. The company reported strong FY21 traction with greater than 2x ARR growth, over 125% growth in new customers, and deployments in 18 new countries, and was recognized by Gartner as a Magic Quadrant Visionary. Momentum continued into 1QFY22, when WEKA said it achieved its 1QFY22 revenue target in the first 14 days of the quarter. WEKA said it will use the new proceeds to accelerate go-to-market activities, operations, and engineering and to improve integration with its ecosystem. WekaIO’s flagship product, WekaIO Matrix, is an NVMe-optimized, POSIX-compliant parallel file system that targets AI, machine learning, high-velocity analytics and HPC workloads. Matrix supports multiprotocol access (NFS, SMB), integrates object storage for economics at scale, and offers features such as snapshots, cloud backup and disaster recovery. The software can be delivered on pre-engineered solutions with HPE, Supermicro and Western Digital, installed on industry-standard Intel x86 servers, or used on the AWS Cloud; the company sells via a capacity-based pricing model. WekaIO highlights industry benchmark performance (SPEC SFS 2014 and VI4IO rankings) and says Matrix delivers very low latency and high throughput for GPU- and I/O‑heavy workloads. The company cites awards and industry recognition and says customers have validated the product in production environments. WekaIO plans to use new capital to accelerate its market trajectory, expand internationally, and increase investments in engineering, sales and marketing. Weka.IO develops software-defined storage (SDS) technology that simplifies deployment of enterprise and cloud storage. Its patent-pending technology is designed to scale storage to hundreds of petabytes, deliver tens of millions of IOPs and achieve sub-millisecond latency at cloud economics. The company positions its product to replace legacy storage systems and address a large addressable market. Weka.IO plans to use new funding to accelerate its go-to-market strategy and expand sales and marketing in the U.S. It also intends to continue building engineering teams in Tel Aviv and San Jose and to grow customer support and business teams across multiple geographies. The company was founded in 2013.

Total raised

$412M

Funding rounds

5

Latest round

Series E

Latest activity

May 2024