Gimlet is the agent-native inference cloud
Create and deploy agentic workloads in minutes, not days - from simple agents to complex multiagent systems. Gimlet optimizes, autoscales, orchestrates, and monitors your agents automatically. Stop micromanaging GPUs and go from prototype to production 10X faster.
Why use Gimlet?
Run custom agents
Quickly compose agents and run multi-agent workloads. Combine LLMs, vision, custom code, MCP servers, and data sources in one pipeline - modeled as a graph of stages - that just works.
Scale on-demand
Elastic by design: agents scale out automatically, and each stage scales independently. Gimlet automatically optimizes, schedules, and orchestrates your deployment. You define the DAG and SLAs, Gimlet handles the details like queues, concurrency, KV-cache reuse, dynamic batching and warm pools, etc.
Monitor your agents
Get detailed visibility into each stage of your agent (e.g. latency, cost, token throughput). Gimlet natively supports eval agents and custom workload metrics.
Join the Waitlist
Gimlet is produced by the team at gimletlabs.ai. If you are interested in working with us, check out open positions at gimletlabs.ai/join_us