WEKA
The AI-native data platform company.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor investor investor investor investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
| investor investor investor investor investor investor investor investor investor | €0.0 | round | |
| investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor | €0.0 | round | |
* | $140m Valuation: $1.6b | Series E | |
| Total Funding | 000k | ||
| USD | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| EBITDA | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 |
Related Content
WEKA is the AI-native data platform company that is setting the standard for AI infrastructure with the industry’s only cloud and hardware-agnostic software solution for performance-intensive applications. The WEKA® Data Platform delivers unprecedented performance at scale. It transforms stagnant data silos into dynamic data pipelines that help enterprise AI, ML, and GPU workloads run faster and more efficiently, providing seamless data access on-premises, in the cloud, at the edge, and in hybrid and multicloud environments. WEKA helps hundreds of the world’s leading enterprises and preeminent research organizations overcome complex data challenges to reach discoveries, insights, and outcomes faster – including 11 of the Fortune 50.
Learn more at www.weka.io
WEKA has been recognized as a Visionary for three consecutive years in the Gartner® Magic Quadrant™ for Distributed File Systems and Object Storage.
Keywords: AI, Generative AI, Data Platform, High-Performance, Scalable, Cloud Storage, On-Premises Storage, Energy Efficiency, Sustainable AI, GPUs, Media and Entertainment, Research Organizations, Data Management, Legacy System Replacement, Enterprise Tech, ML, HPC