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WEKA logo — The Foundation for Enterprise and Agentic AI Innovation

WEKA

The Foundation for Enterprise and Agentic AI Innovation

Founded 2013 United States Campbell, United States 546 employees Series E Total: $415.10M AI, Cloud Infrastructure +1

General Information

Company Name WEKA
Founded Year 2013
Location United States Campbell, United States
Employees 546
Industries AI, Cloud Infrastructure, Data Analytics
Funding Stage Series E
Social

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About WEKA

WEKA is a data platform that caters to AI and performance-intensive workloads. Founded in 2013 and headquartered in the United States, the company has demonstrated steady growth and advancement in the fields of AI, cloud infrastructure, and data analytics. Its recent achievements include a landmark $140.00M Series E investment on 15 May 2024, attracting the support of a diverse group of prominent investors such as Valor Equity Partners, Generation Investment Management, Nvidia, Qualcomm Ventures, Atreides Capital, Hitachi Ventures, Ibex Investors, Key1 Capital, Lumir Ventures, and MoreTech Ventures. WEKA's slogan "The Data Platform for AI & Performance-Intensive Workloads" accurately encapsulates its mission, which focuses on enabling data-driven organizations to store, process, and manage data effectively across various environments, including the cloud and on-premises settings. The company's proprietary software-defined, cloud-native data platform transforms static data silos into dynamic streaming data pipelines, fueling next-generation workloads like AI and high-performance computing (HPC). In summary, WEKA presents a compelling proposition for investors seeking exposure to the rapidly evolving landscape of data infrastructure and AI-enabled technologies. Its consistent performance and significant investments underscore its potential for long-term growth and innovation.

Business keywords: AI Infrastructure, Cloud-Native Data Platform, High-Performance Computing, Genomics, Data Pipelines, Data Acceleration, Hybrid Cloud, Storage Software, Containers, Multicloud, Generative AI, GPU Acceleration

Funding Rounds & Investors (6)

View All
Funding Stage Amount Investors Lead Investors Date
Series E $140.00M 10
Valor Equity Partners, Generation Investment Management +8
15 May 2024
Series D $135.00M 10
Norwest Venture Partners, Nvidia +8
15 Nov 2022
Series C $73.10M 8
Cisco Investments, Nvidia +6
20 Aug 2021
Series C $31.70M 7
Nvidia, Walden Riverwood Ventures +5
17 Jan 2019
Series B $25.00M 5
Gemini Israel Ventures, Norwest Venture Partners +3
17 Feb 2016
Series A $10.30M 1
Norwest Venture Partners
01 Jan 2014

WEKA Alternatives & Competitors

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WEKA vs
VAST Data
VAST Data United States

The Operating System for the Thinking Machine​.

Series F
1192 employees
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WEKA vs
Gcore
Gcore Luxembourg

Gcore is a global provider of software and infrastructure solutions for AI, cloud, network, and secu...

Series A
503 employees
AI, Cloud Infrastructure
WEKA vs
Equinix
Equinix United States

The world's digital infrastructure company®

IPO
14335 employees
Cloud Infrastructure, Data Analytics

FAQ About WEKA

The Foundation for Enterprise and Agentic AI Innovation
WEKA was founded in 2013.
WEKA is headquartered in Campbell, United States.
WEKA operates in AI, Cloud Infrastructure and Data Analytics. Its work centres on AI Infrastructure, Cloud-Native Data Platform, High-Performance Computing and Genomics.
WEKA has approximately 546 employees.
WEKA has completed 6 funding rounds, raising a total of $415.10M. The latest funding stage is Series E.
Top alternatives and competitors to WEKA include VAST Data, Gcore, Equinix, Midokura, Lemurian Labs. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
WEKA and VAST Data are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for WEKA, https://bouncewatch.com/company/weka, updated 20 May 2026. When citing, please name BounceWatch and link this page.

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