How we launched a SaaS startup that raised $3M
AI startup, from idea to venture capital in two months
About the project
A new SaaS startup has faced the ambitious task of creating a platform that provides access to advanced AI/ML models through an API. The main problem was the high expected service load, which requires a scalable and reliable architecture that can handle a large flow of simultaneous requests without compromising performance and availability.
Solution
We developed and implemented a high-performance solution based on a horizontally scalable architecture that used cloud computing and microservices principles to ensure resilience to high loads. Deploying containerization and orchestration with Kubernetes has made it possible to manage resources dynamically and efficiently. Special attention was paid to optimizing request queues and distributing the load, which ensured the stability of the API even during peak periods.
Result
As a result of its rapid launch, the startup immediately attracted attention and was highly appreciated by investors, which resulted in an investment of $3 million. Already in its first months of operation, the service demonstrated outstanding performance and reliability, which was the key to growth and customer confidence. The startup not only provided access to AI/ML models, but also created the basis for the development of innovative products in various industries.
