Operating discipline for enterprise AI.
Chompute is the AI control plane for the moment AI moves from experiment to operating cost — built by operators who have shipped applied AI and infrastructure to the enterprise.
Bring AI consumption under one operating model.
AI adoption is moving faster than the operating discipline required to govern it. Chompute is the layer where visibility, policy, and economics converge — so platform, finance, and security teams hold one consistent line as AI scales.
Operators from the Valley.
Chompute is built by a team that has shipped production AI and infrastructure to enterprises — and has lived inside the operating discipline those buyers expect.
Built for the inflection point.
Our perspective comes from watching organizations cross the line from AI experimentation to AI operating cost — and the governance gap that opens the moment they do.
A heritage in applied AI.
Dragonfruit AI has delivered applied AI systems across retail, healthcare, media, and the enterprise. Chompute is the control plane that heritage produced.
How we build.
The most valuable layer of the AI stack is the one that stays independent of any single model or provider — and operates AI the way the enterprise already operates infrastructure.
That belief shapes every decision we make: a control plane that governs the workflow without replacing it, vendor independence as a default, and operating discipline as the product.
Govern the spend, not the workflow.
Operating discipline should sit underneath the tools people already use, not in front of them. Policy belongs in the control plane, not in the user experience.
Stay vendor-independent.
The most valuable position in the AI stack is the one that is not locked to any single model or provider. Chompute is built to keep that position open for the enterprise.
Treat AI as infrastructure.
Once AI is in production, it has to be governed like infrastructure — measured, budgeted, audited, and continuously optimized. That principle shapes everything we build.
Silicon Valley, California.
If your organization is bringing AI consumption under operating discipline, we would like to hear how you are scaling — and where the gap between adoption and governance sits today.