WekaIO, Inc.
Classification
Private
Financials
Revenue & Profit
Valuation
Ratios
People
Deals
M&A2024-03-15Completed
Investor Sponsors NorthBridge PE | Stake Tags 100% |
Deal Amount $120M | Is PE deal Yes |
Target Company Valuation $1.20 MM | Is deal PE backed Yes |
Techniques Acquisition of Assets, Taken Private | Total Acquired 100% |
Investor Sponsors
Deal Amount
$120M
Target Company Valuation
$1.20 MM
Techniques
Acquisition of Assets, Taken Private
Stake Tags
100%
Is PE deal
Yes
Is deal PE backed
Yes
Total Acquired
100%
Secondary Transaction2023-09-01Canceled
Investor Sponsors -- | Stake Tags Majority |
Deal Amount Undisclosed | Is PE deal No |
Target Company Valuation -- | Is deal PE backed Yes |
Techniques Secondary Sale, Management Buy-out (MBO) | Total Acquired 65% |
Investor Sponsors
--
Deal Amount
Undisclosed
Target Company Valuation
NaN
Techniques
Secondary Sale, Management Buy-out (MBO)
Stake Tags
Majority
Is PE deal
No
Is deal PE backed
Yes
Total Acquired
65%
Funding
About
About
WekaIO, Inc. is a provider of high-performance, scalable, and parallel file storage solutions for enterprise and cloud environments. WekaIO has emerged as a key player in the rapidly evolving field of data storage and management. With a focus on innovation and efficiency, WekaIO offers cutting-edge solutions that enable organizations to unlock the full potential of their data and accelerate time-to-insight. By combining advanced technology with a customer-centric approach, WekaIO empowers businesses to overcome the challenges of data-intensive workloads and drive transformative outcomes in industries such as life sciences, financial services, manufacturing, and media and entertainment. Product Breakdown: Weka File System (WekaFS): WekaIO's flagship product is the Weka File System (WekaFS), a highly scalable and parallel file system designed to deliver unparalleled performance and flexibility for modern data-centric applications. Built on a distributed architecture, WekaFS enables seamless scaling from terabytes to petabytes of data without compromising performance or reliability. Key features include high throughput, low latency, automatic tiering, data protection, and multi-protocol support, making it ideal for a wide range of use cases, including AI and machine learning, genomic sequencing, financial analytics, and media rendering.
Keywords
Keywords
Classified
Private