We build for the teams whose mistakes matter
XAIOps started inside research computing, supporting scientists whose data is protected, whose compute is shared, and whose results are reviewed. That origin shapes every decision: run on the customer’s infrastructure, make governance a workflow, and never ask a researcher to become an infrastructure engineer.
Four commitments we do not trade away
Your data does not move
Everything runs where your data already lives. Air-gapped is a supported configuration, not a special project.
Controls in the path
A control that only produces a report gets ignored. Assurance, screening, and approvals are gates.
Meet the cluster where it is
We adapt to your infrastructure and conventions instead of asking you to standardize on ours.
Evidence by default
If it happened on the platform, it is recorded in a way you can hand to a reviewer.
What ships in the box
One
Control plane
Data, models, and compute under a single permission and audit model
Any
Compute you own
HPC schedulers (Slurm, IBM Spectrum LSF, etc.), Kubernetes, workstation/VM, Laptop
Zero
Data egress required
Operates entirely inside your network, air-gapped sites included
Full
Audit coverage
Every dataset access and model action recorded as evidence
Work with us
We hire engineers and scientists who understand the challenges of shipping AI in regulated environments. Tell us what you want to build.
Start with a conversation
Whether you are evaluating, hiring, or just comparing notes on governed AI, we are happy to talk.