Building and deploying your own AI models for a startup is both costly and technically challenging, especially when it comes to creating resilient and reliable systems. I’d say it’s a true test for any DevOps engineer. Setting up a testing environment for experiments or integrating with an external API is one thing, but delivering fault-tolerant solutions and making these technologies accessible to users is a whole different level.
At Synthar, we’ve managed to achieve these goals, and I’m proud that despite all the external and internal challenges, we’ve delivered high-quality solutions over the past three months. We didn’t shy away from making our own decisions, taking the initiative, or doing things that others might not even attempt. Technically, these were tough challenges, but our team’s drive made them a reality.
Isn’t that exactly what a startup needs?