Case Study: Later builds an event-driven AI matching engine with zero DevOps using Encore

Later builds an event-driven AI matching engine with zero DevOps using Encore

Later, a leading social media and influencer marketing platform, needed to build a new AI-powered influencer matching system. The challenge was to handle high-volume data and complex event-driven workflows without the DevOps overhead of their established Kubernetes stack. They chose Encore to enable a small team to move fast without waiting on infrastructure processes.

Using Encore's infrastructure SDK, Later built a sophisticated event-driven AI pipeline that ingests documents and uses LLMs to build a knowledge graph. The solution was deployed into their own AWS account with zero DevOps engineers assigned to the project. The results include over ten months in production with zero issues, seamless onboarding for new engineers, and a full year of stable upgrades with zero breakage, all built by a very small team.

Later