Akamas
Akamas | AI-Powered IT Performance Optimization.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
* | $10.0m | Early VC | |
| Total Funding | 000k | ||
| USD | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| 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 |
Source: Dealroom estimates
Related Content
Akamas.io is a cutting-edge startup specializing in autonomous performance optimization powered by artificial intelligence (AI). The company focuses on helping enterprises and online businesses enhance their service quality, resilience, and cost efficiency. Akamas achieves this by automating the optimization of complex systems, such as Java Virtual Machines (JVMs), databases like MongoDB, MySQL, and PostgreSQL, and Kubernetes applications.
The primary clients of Akamas are large enterprises and online businesses that rely heavily on IT infrastructure and cloud services. These clients often face challenges in manually tuning their systems to achieve optimal performance, which can be time-consuming and require specialized expertise. Akamas addresses this pain point by offering AI-driven solutions that automatically adjust system parameters to maximize performance and minimize costs.
Akamas operates in the IT performance optimization market, a niche but growing sector driven by the increasing complexity of IT environments and the need for cost-effective solutions. The company’s business model is based on a Software-as-a-Service (SaaS) approach, where clients can start with a free trial and then subscribe to the service for continued use. This model ensures a steady revenue stream while allowing clients to experience the benefits of the service before committing financially.
Revenue is generated through subscription fees for the AI-powered optimization services. By automating performance tuning, Akamas helps clients reduce their operational costs, particularly in cloud services and database licenses, making the investment in their service highly attractive.
In summary, Akamas.io leverages AI to automate performance optimization for complex IT systems, serving large enterprises and online businesses. It operates in the IT performance optimization market with a SaaS business model, generating revenue through subscription fees.
Keywords: AI, performance optimization, SaaS, enterprises, cloud services, databases, Java, Kubernetes, cost savings, automation.