We deploy AI StackOps
into your environment.
From scoping to production in two weeks. On-premises, air-gapped, cloud, or hybrid. Your team operates it independently from day one.
Choose how we work together
Sprint deployment
Two weeks. We scope, configure, and deploy a working AI workflow.
Managed platform (PaaS)
We handle infrastructure, updates, and monitoring against an agreed support SLA. Start managed, move on-prem later, or never.
Training & workshops
For the developers, operators, and security staff who will run it after we leave.
Advisory & custom development
Agents, integrations, and automation beyond the sprint.
Ongoing support and service level agreements are priced separately from implementation. We will scope one with you during the engagement.
What we do for you
The product ships the capability. This is the work of making it yours.
Your first agents and workflows
We write them with your team against real use cases, then hand over the YAML and the reasoning. The next ones are yours.
Classification policy
We turn your written data policy into a working taxonomy: levels, categories, clearances, and the criteria the classifier applies to every document.
Identity and estate setup
Wiring SSO to your directory, mapping groups to roles, setting per-tier limits, and standing up the hub and its policy floors.
Connecting your data
Knowledge stores pointed at the file shares, databases, and internal APIs your answers depend on, with a reindex schedule that keeps them current.
Deploy anywhere your data lives
A hub, and the nodes it governs
One hub sets the floors: classification, budgets, roles, and what may leave the building. Every node runs its own models and reports into one audit trail.
- Nodes share agents and capacity over HTTPS, with no relay in between
- Hub-issued peer tokens and a signed roster, both time-bounded
- The estate keeps working while the hub is away
- Set an agent to local-only and it never reaches a frontier provider
On-premises
Entire stack inside your perimeter, running fully disconnected. That is the isolation CJIS, HIPAA, and ITAR work depends on.
Cloud
Managed GPU capacity, cloud providers, or your own hardware, whichever your data policy allows.
Hybrid
Sensitive workloads on hardware you own and everything else in the cloud, with the same agent files running in both.
Native binaries
Signed builds for macOS, Windows, and Linux, each with a deploy kit (LaunchDaemon, systemd, scheduled task) and a verify script whose result lands in your evidence bundle.
2-Week Money-Back Guarantee
We agree on success criteria before we start. If we don't deliver a working AI workflow that meets them within two weeks, you get your money back.
Book a Demo