Gimlet Labs is an applied research lab focused on AI infrastructure, developing systems intended to make AI workloads significantly more efficient. The company works across heterogeneous compute, workload orchestration, and autonomous kernel generation. Its technical approach involves expanding usable compute capacity and improving how AI tasks are managed across infrastructure.
The company's products include Gimlet Cloud, a serverless inference platform for AI agents, and kforg, an autonomous kernel generation system. kforg employs multi-agent architectures to explore different kernel designs and automatically identify the fastest implementations. These tools target the growing demand for efficient AI inference and execution in data centre environments.
Gimlet Labs operates at the intersection of AI, cloud computing, and data centres. The company was founded by a Stanford adjunct professor and positions itself as an applied research lab working on infrastructure for what it describes as the agentic era.
