Case Study: Gradient Labs scales without DevOps using Encore

Gradient Labs speeds up onboarding with Encore, letting 11-person team deploy on day one

Gradient Labs, a startup building advanced AI agents, faced the challenge of scaling their platform quickly with a small team while avoiding the heavy burden of DevOps and infrastructure management. They needed to automate these processes to enable fast iteration and ensure scalability from the start. To solve this, they adopted the Encore platform for its backend framework and DevOps automation.

Using Encore's integrated framework and complete DevOps automation on GCP, the team eliminated the need for dedicated DevOps engineers. This allowed their 11-person team to focus entirely on product development, with new engineers deploying code on their first day. The Encore platform provided built-in support for their AI-specific needs like PGVector and enabled seamless integrations, resulting in a faster time to market and significant operational efficiency.

Gradient Labs