Cumulus Labs operates a platform for serving AI models in production, spanning a gateway, model router, semantic cache, observability, evaluation, and one-click fine-tuning. At its core is a proprietary inference engine tuned for modern GPU hardware, which the company says raises throughput substantially over stock open-source serving stacks.

The platform is designed as a drop-in replacement for standard model APIs, letting engineering teams redirect existing applications without rewriting them. It targets companies running latency-sensitive, high-volume multimodal inference that want more performance and control than generic hosted endpoints provide.