Private AI infrastructure & workflows
From the first cluster to the first production agent. Ataraxia is building a private-first AI platform for the IT team you already have.
Anvil brings order to infrastructure. Atelier is being designed to bring your workflows, policies, and operational feedback into one lifecycle.
Use local models first, and only Frontier models when necessary, and approved
The problem we’re working on
The hard work continues after the demo: connecting data, managing GPUs, defining permissions, handling upgrades, and knowing when a workflow needs attention. Your IT team should have a coherent way to manage that work.
01 / Infrastructure
A foundation your AI can run on.
Automate the path from supported hardware to a private Kubernetes environment, with cluster lifecycle management as a core product responsibility. Three hours from prepared, supported hardware to a 10-node private AI cloud.
Explore Anvil02 / Workflows
A workshop for useful, governed AI.
Design agents around real work. The planned experience connects guided creation, approved tools, human checkpoints, deployment, and observation.
Explore AtelierOne connected lifecycle
Our goal is to connect infrastructure operations with workflow development, so a problem in production has a clear path back to a reviewed improvement.
Provision a supported environment with Anvil. Opinionated Kubernetes designed specifically for AI inferencing.
Define the workflow, sources, tools, and success criteria. Let AI build the workflow for you, or build it manually from objects.
Set permissions and policies globally or per workflow. Verify security and governance compliance before publishing to production.
Use execution evidence to test and approve the next version.
AI telemetry monitoring drives constant improvement using CI/CD best practices.
Start with real work
Begin with a bounded workflow, a named owner, and an outcome you can measure.
Find relevant information in approved documentation and return source-backed answers.
View workflow example →Organize incoming tickets and prepare responses for an engineer to review.
View workflow example →Bring operational evidence together to help an engineer assess the next step.
View workflow example →Build with us
Bring your infrastructure, your operational constraints, and a problem you need solved. Together, we can define a focused pilot and what success should look like.
