Sigilant Labs builds an inference decision platform for production AI agents
Sigilant Labs builds an inference decision platform for production AI agents. We help teams deploying open-weight models identify the best-fit deployment configuration for their hardware, workload, and reliability requirements. We evaluate configurations across latency, throughput, memory efficiency, cost, and agent-critical quality signals such as tool calling, structured outputs, long-context behavior, and regression safety.