
Exostellar
Creates tools for organizations who rely heavily on cloud computing to reduce their costs by up to 90%.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor investor investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
* | $15.0m | Series A | |
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 82 % | 73 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Exostellar operates in the cloud computing sector, specializing in optimizing high-performance computing (HPC) applications. The company serves enterprises looking to reduce their cloud computing costs while maintaining or enhancing performance. Exostellar's core service involves automatically migrating HPC applications to more cost-effective virtual machines, thereby optimizing resource utilization and meeting fluctuating project demands. This approach allows clients to achieve up to 5x more compute for their cloud spend without the need for upfront capital investments in reserved instances. The business model is likely subscription-based, where clients pay for the optimization services provided by Exostellar. Revenue is generated through these subscriptions and possibly through performance-based pricing models. Exostellar's market includes industries that rely heavily on HPC applications, such as finance, healthcare, and scientific research. The company differentiates itself by offering a high level of control over cloud resources from a single interface, making it easier for enterprises to manage their cloud expenditures effectively.
Keywords: cloud optimization, HPC applications, cost savings, virtual machines, resource utilization, scalability, no upfront investment, performance enhancement, enterprise solutions, cloud computing.