Ironsight
The infrastructure layer. AI operations management: deployment, monitoring, and security for the platform and the models it runs.
Private AI, run like production software.
Platform deployment
Installs and upgrades the full stack on your infrastructure: on-premises, private cloud, or air-gapped, with reproducible, versioned rollouts.
Model operations
Serving, scaling, and lifecycle for the models you deploy and tune: load, version, roll back, retire.
Full-stack monitoring
Health, capacity, latency, and cost of the AI estate on one console, from GPU utilization to per-agent run outcomes.
Security operations
Hardening baselines, patching, secrets handling, and network isolation for every platform component, maintained as configuration, not folklore.
Plan-approve-execute change
Infrastructure changes follow a plan-then-execute discipline with rollback paths and complete change records, inside blast-radius limits you set.
Operator-bound actions
Operations run with the operator's own identity and privileges. Every change is attributable to a person, and every record is reconstructable.
See the ops console against a live deployment.
A briefing walks deployment, monitoring, and an end-to-end change with rollback.