This WEKA company profile covers the company's valuation, revenue, funding rounds, investors and history. WEKA works in AI infrastructure, with a focus on data storage platform. It was founded in 2013 and is headquartered in Campbell, California, United States. Its latest valuation on record is US$1.6 billion (May 2024). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.
Revenue
| Metric | Value | As of | Source |
|---|---|---|---|
| AI deployments | More than 300 of the world's largest AI and GPU deployments run on its platform (company-reported) | May 2024 | SiliconANGLE |
Funding history
| Date | Round | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| May 2024 | Series E | US$140M (primary and secondary) | US$1.6B post-money | Valor Equity Partners (lead); Nvidia, Qualcomm Ventures, Hitachi Ventures, Generation Investment Management | Times of Israel |
| Nov 2022 | Series D | US$135M | US$750M | See source | SiliconANGLE |
WEKA timeline
Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.
- 2013 — WEKA is founded in Campbell by Liran Zvibel (CEO), Omri Palmon and Maor Ben-Dayan.
- Nov 2022 — Series D: US$135M, valuing the company at US$750M.
- May 2024 — Series E: US$140M (primary and secondary), valuing the company at US$1.6B post-money. Investors: Valor Equity Partners (lead); Nvidia, Qualcomm Ventures, Hitachi Ventures, Generation Investment Management.
- May 2024 — AI deployments: More than 300 of the world's largest AI and GPU deployments run on its platform (company-reported).
Investors
Overview
WEKA builds a high-performance data platform for AI and other data-intensive workloads. Its software turns standard servers or cloud instances into a fast, scalable storage system that can feed data to thousands of GPUs during model training and inference, and it runs across on-premises data centres and major clouds. AI labs, GPU cloud providers, life sciences companies and financial firms use it. In May 2024 WEKA raised a US$140 million Series E at a US$1.6 billion valuation, led by Valor Equity Partners with participation from Nvidia, and said more than 300 of the world's largest AI and GPU deployments ran on its platform.
Liran Zvibel, the CEO, Omri Palmon and Maor Ben-Dayan founded WEKA in 2013 in Israel. The founders had previously worked together at XIV, a storage company acquired by IBM. WEKA is headquartered in Campbell, California, with major research and development in Tel Aviv.
Products
- WEKA Data Platform: a parallel file system and data platform for high-throughput, low-latency workloads.
- Cloud deployments: software available on AWS, Google Cloud, Microsoft Azure and Oracle Cloud.
- AI-optimised configurations: reference architectures with Nvidia and server partners.
- Data management: tiering to object storage and data services for large AI pipelines.
Funding
WEKA raised earlier funding from investors including Qualcomm Ventures, Hitachi Ventures, Micron and Nvidia. A US$135 million Series D in November 2022 valued it at US$750 million. In May 2024 it raised a US$140 million Series E, combining primary and secondary transactions, led by previous investor Valor Equity Partners, with Nvidia, Qualcomm Ventures, Hitachi Ventures and Generation Investment Management participating, at a US$1.6 billion post-money valuation. Valor founder Antonio Gracias joined the board. The company said the funds would support scaling and product development and provide liquidity to employees.
Business model
WEKA sells software subscriptions priced by capacity, deployed on customers' hardware or in the cloud, often through partnerships with server vendors and cloud providers. Large AI customers can sign substantial contracts as their GPU clusters grow.
Competition
WEKA competes with VAST Data, its fastest-growing private rival; with storage vendors such as DDN, Pure Storage, NetApp and IBM; and with cloud providers' storage services. Its strengths are high performance, flexibility across clouds and on-premises, and strong technical credibility with AI infrastructure teams.
WEKA at a glance
WEKA is a Campbell, California, AI data platform company founded in 2013 in Israel by Liran Zvibel, Omri Palmon and Maor Ben-Dayan. It provides high-performance storage software for AI and data-intensive workloads. It raised a US$140 million Series E in May 2024 at a US$1.6 billion valuation, led by Valor Equity Partners with Nvidia participating.
Timeline
- 2013: founded.
- 2017–2020: grows in life sciences, financial services and research computing.
- November 2022: raises US$135 million at US$750 million.
- May 2024: raises US$140 million at US$1.6 billion.
Why AI clusters need fast storage
Training large AI models requires reading massive data sets repeatedly and saving checkpoints frequently. GPUs are expensive, so any time they spend waiting for data is wasted money. High-performance storage that can deliver data at the speed GPUs consume it keeps clusters fully utilised. Inference workloads also need fast access to model weights and data for retrieval. As GPU clusters have grown to tens of thousands of chips, storage has become a critical part of AI infrastructure.
Who funds WEKA
WEKA's investors include Valor Equity Partners, Nvidia, Qualcomm Ventures, Hitachi Ventures, Generation Investment Management and Micron.
Who uses WEKA
WEKA's customers include AI labs, GPU cloud providers, enterprises, life sciences companies, financial services firms and media companies.
Valuation context
WEKA's valuation more than doubled between 2022 and 2024, though it remains far below VAST Data's. Our guide to AI infrastructure companies compares them.
Risks
- Competition: VAST Data and storage incumbents compete for AI deals.
- Customer concentration: large AI customers drive revenue.
- Technology shifts: AI infrastructure designs evolve quickly.
Questions for buyers
- What throughput can it deliver to your GPU clusters?
- How does pricing compare across cloud and on-premises?
- What reference deployments exist at your scale?
How WEKA compares with traditional storage
Traditional enterprise storage systems were designed for databases, file shares and virtual machines, not for thousands of GPUs reading small files at high speed simultaneously. WEKA's software spreads data and metadata across many servers using fast flash storage and networking, delivering high throughput and low latency at scale. Because it's software, customers can run it on hardware from different vendors or in the cloud, and move workloads between environments. Data can be tiered automatically to cheaper object storage when not in active use. These capabilities make it attractive for AI training, genomics, financial modelling and media rendering, where performance directly affects how fast teams can work.
The rise of GPU cloud providers, which build large clusters and rent them to AI companies, has created a new customer group that needs high-performance storage quickly and at scale.
Organisations evaluating WEKA typically run benchmarks with their own data and GPU configurations.
The results of those benchmarks, along with total cost over several years, usually decide between WEKA, VAST Data and established storage vendors.
WEKA and the neocloud boom
GPU cloud providers such as CoreWeave, Lambda and others have built enormous clusters for AI labs and enterprises. Each needs storage that can keep up with its GPUs and scale quickly as new capacity comes online. These neoclouds have become important customers for AI storage vendors, and winning their business can lead to rapid growth, though it also concentrates revenue among a few large buyers.
Latest developments (October 2026)
WEKA has not announced a new round since its May 2024 Series E at US$1.6 billion, according to the company. Its 2026 news has focused on product work, including memory and storage tests with GPU cloud partners, as demand for fast storage for AI clusters grows. See our AI infrastructure guide.
What to watch
Watch new funding, large AI deployments, cloud partnerships and competition with VAST Data.
Takeaways
AI teams can keep GPUs busy with fast data access. Founders can see how years of storage expertise fit the AI boom. Investors should watch competition with VAST.
Sources
Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.
Frequently asked questions
What does WEKA do?
WEKA is a ai infrastructure / data storage platform company headquartered in Campbell, California, United States. It was founded in 2013.
What is WEKA's valuation?
WEKA was valued at US$1.6 billion as of May 2024, according to WEKA (company press release). Private company valuations are set at funding rounds or share sales and can change significantly between them.
How much revenue does WEKA make?
WEKA is a private company and has not publicly disclosed its revenue. Figures on third-party sites are usually modelled estimates rather than numbers reported by the company.
What was WEKA's latest funding round?
The most recent financing we have verified is a series e in May 2024: US$140M (primary and secondary), at a valuation of US$1.6B post-money. Source: Times of Israel.
Who are WEKA's investors?
Investors named in public announcements include Valor Equity Partners, Nvidia, Qualcomm Ventures, Hitachi Ventures, Generation Investment Management and Micron.
Who founded WEKA?
WEKA was founded in 2013 by Liran Zvibel (CEO), Omri Palmon and Maor Ben-Dayan.
Is WEKA a public company?
No. WEKA is a private company (private, venture backed), so its shares are not traded on a stock exchange and it isn't required to publish its financial results.
Where is WEKA headquartered?
WEKA is headquartered in Campbell, California, United States.