Case Study: Yutori achieves lower-cost always-on agent inference with Crusoe Managed Inference

Yutori serves always-on agents for $1.46 per task with Crusoe

Yutori, a small startup building AI agents that perform digital chores on a computer, faced the challenge of serving its Navigator models cost-effectively and reliably around the clock. Their unique, cache-heavy workloads required a high-throughput inference solution, but as a small team, they needed to avoid the burden of managing their own infrastructure. This led them to partner with Crusoe.

Crusoe implemented a tailored deployment on Crusoe Managed Inference, which included a cluster-wide KV cache to optimize Yutori's specific workload. The solution resulted in a dramatically lower cost per task of $1.46, compared to $13-$40 for frontier models, and provided the guaranteed reliability that eliminated the need for overnight on-call staff. Crusoe's infrastructure allowed Yutori to scale its operations significantly while maintaining high performance.

Yutori