Drift
Nobody knows what runs where.
Ship anywhere. Stay right everywhere.
Thousands of sites. Thousands of models. Always changing.
Nobody knows what runs where.
One bad model. A thousand bad sites.
A few engineers. Thousands of sites.
Cost and quality, scattered.
Over the last decade, software learned to run itself. Teams describe what they want, and platforms keep it that way across thousands of servers. AI never got that layer. The models are smarter than ever, yet the way they run across real-world fleets still depends on people, scripts and memory.
One fleet.
One truth.
Wherever your AI runs, at the edge, in your data centres or in the cloud, every piece of it belongs to one fleet, held to one standard and visible from one place.
Together they give your organisation one way to run AI, wherever it lives today and whatever it becomes next.
The control plane for AI fleets. Say what's true across every site, every model and every environment. JAGNAUT keeps it true as your fleet grows and as the technology underneath it keeps changing.
The engine for heavy AI work. Built on Ray, the open-source framework behind some of the world's largest AI workloads, Raydial gives your teams the power to prepare data, build specialised models and serve them on infrastructure you choose and control.
The next wave of operators won't be people at keyboards. Agents will propose changes, test them and roll them out faster than any team could. That is a remarkable opportunity and a new kind of risk. JAGNAUT is built for that world: agents get the speed they need, and you keep the standards and the say that matter.
Improvements reach the fleet as fast as they are found, not when someone finally has time.
Every change meets the quality, cost and safety lines you draw, whoever or whatever made it.
Every action is visible, explained and reversible. The final word stays with your people.
We're working closely with a small group of design partners: organisations running AI across many sites who want a hand in shaping how it's run for the next decade. If that's you, we'd like to hear what your fleet looks like and what breaks today.
hello@jagnaut.io