WEKA is a software-defined data platform company that delivers cloud-native, high-performance storage purpose-built for AI and accelerated compute workloads. Its NeuralMesh architecture interconnects data, compute, and AI services across on-prem, cloud, and edge environments, replacing legacy storage with dynamic data pipelines that keep GPUs continuously fed.

WEKA's architecture eliminates the traditional tradeoff between performance and capacity by providing a single namespace that performs like NVMe flash for hot data and scales like cloud storage for large datasets. Their purpose-built data pipeline can feed thousands of GPUs simultaneously without the I/O bottlenecks that plague conventional storage systems.

AI training requires feeding massive datasets to GPU clusters at speeds that traditional storage cannot sustain; WEKA's high-performance data platform solves this by delivering hundreds of gigabytes per second to AI workloads.

WEKA raised $140M in a Series E at a $1.6B valuation, bringing total funding to ~$375M — notably raised entirely from existing investors. The company has over 300 customers including 12 of the Fortune 50 and AI companies like Stability AI, Midjourney, and ElevenLabs, with ARR exceeding $100M and doubling year-over-year.