Unified, Governed & Intelligent Enterprise Operations

Opstral is an AI-native platform for enterprise operations. At its center is Sentinel AI, an autonomous intelligence engine that observes your signals, investigates anomalies, determines root cause and takes corrective action under governance. It is built for NOC, SRE, platform engineering and IT operations teams running complex estates at scale.

No. Observability tells you what happened; it is an input to Opstral, not what Opstral is. The platform investigates why it happened, determines the appropriate response, coordinates enterprise knowledge and automation, and executes under governance across heterogeneous, multi-vendor environments.

No. Opstral sits on top of your existing stack, integrating with and leveraging tools like Dynatrace, Datadog, New Relic, Splunk, Prometheus, Grafana and PagerDuty. Sentinel consumes signals from your existing sources, correlates them and acts; those tools continue to do what they do well, and Opstral makes them work with each other.

Service as Software is the inversion of SaaS: instead of a tool your team operates, the platform delivers completed work: resolved incidents, executed procedures and verified outcomes. Governed means every action is scoped to a blast radius, approval-gated where policy requires, reversible and fully audited.

Yes. Opstral is built for on-prem, air-gapped and sovereign deployment, including the AI itself: LLM inference runs inside your perimeter on your hardware, with self-hosted models Opstral ships or local models you bring. No telemetry leaves your environment, and updates arrive as signed offline artifacts.

Much of it they already have, and Opstral keeps it: Ansible, Python and shell scripts become governed, versioned MOPs on day one. But scripts automate known responses; they do not investigate, and nobody scripts judgment across heterogeneous signals. You are buying the investigation layer, the governance and the institutional memory.

Your operations keep running. Opstral is a layer over your tools, not a replacement: your monitoring still monitors, your ITSM still tickets, and your team can operate everything directly at any time. And if you leave, you take your work with you: every MOP, agent and dashboard your team built is your IP, exportable and runnable outside the platform.

Not because your engineers lack skill; because no human can query every console at once. Opstral holds a live, governed connection to every signal source, so it investigates all of them in parallel, applies every documented procedure instantly, and never loses context between incidents. Your team gets the same powers through plain-English investigation.

Trust in production is a governance question more than an AI question. Recommendations carry evidence, confidence and reasoning; production-changing actions run through approval policies and your change management; and executed actions are reversible and audited. Autonomy is graduated: the platform earns trust with evidence, not promises.