Unified Intelligence Layer for Enterprise Operations
Opstral observes, investigates, resolves and optimizes across your production systems, so operations recover faster and stay in control. It unifies telemetry, operational knowledge and your existing tools under one governed AI core, where every action is approved, reversible and audited.
- In production at carrier-scale telecoms
- 27,000+ network devices under one NOC
- Read the case studies →
Input signals
- Alerts
- Incidents
- Telemetry
- ITSM
- CMDB
- Changes
- Orchestrator
- ProcBot
- Sherlock
- Copilot
Governed output
- Executions
- Tickets
- Dashboards
- Reports
- Chat
End Tool Sprawl
Your ops team is drowning in tools, not answers.
A dashboard for metrics, a terminal for infrastructure, a SIEM for security, a cost tool for spend, an ITSM for tickets. Each with its own login, query language and half of the truth. Opstral puts one governed layer over the production stack you already run, so every signal lands in one place and nobody rebuilds context console by console.
- One layer, not another toolIntegrates with or replaces what you run today. Nothing is ripped out on day one.
- Cross-platform federated detectionCorrelates across ITSM, ERP, CRM, HR and identity, incidents no single-platform AI can even see.
- Open by designOpenTelemetry-native ingestion, so your telemetry stays portable.
- 2,000+governed integration connectorsevery production signal source, wired once into one intelligence layer
Resolution, Not Detection
Detection is table stakes. Resolution is the job.
Your stack is very good at telling you something broke; it cannot fix it. When an alert fires in production, Sentinel investigates every connected source at once, before anyone is paged, and delivers evidence-backed root cause with citations in minutes. Known incident patterns are resolved autonomously; your engineers are engaged only where judgment is needed.
- RCA, postmortem and citationsEvery finding traces back to its evidence, so anyone can verify the reasoning.
- Conversational operationsEngineers investigate in plain English; L1 resolves what used to escalate to L2.
- Proactive, human in the loopSuspicious login? Sentinel calls the user. Brute force on a production server? It calls the owner before isolating.
- 43%MTTR reduction, measured in productionwithin six months of go-live at a carrier-scale telecom deployment.
This platform was not built in a lab. It was built by a team that runs carrier-scale NOC and managed services operations for a living, and shaped by live production incidents, change freezes and audits. Security is the default, not an add-on, and the architecture is sized for the estates it came from.
- Built by people who run productionThe same team operates carrier-scale NOC and managed services estates today. The platform ships with that operational muscle memory built in.
- RBAC & ABAC from day 1Zero-trust foundation with role and attribute-based access control, key vault and runtime protection as the baseline, not a roadmap item.
- Scalable by designPetabyte-scale data foundation and containerized, parallel execution, sized for carrier workloads, comfortable in yours.
- 6-9months live in productionacross enterprise deployments at carrier-scale telecoms. Hardened where downtime actually costs money.
- ✓ Hardened in production
- ✓ In production with enterprise customers today
- ✓ Built by a team that runs carrier-scale NOC & managed services operations
Your telemetry, tickets and identity data are the crown jewels, and most AI platforms ask you to hand them over blind. The Data Governance Fabric curates and anonymises data before it reaches any model, access is typed least-privilege, and every decision the platform makes is explained, with citations you can verify.
- Curated & anonymised before any modelRaw production data is never handed to a model; the Data Governance Fabric filters and masks first.
- Typed least-privilegeSentinel reads; ProcBot and Sherlock act, each under explicit, scoped grants. No component holds more access than its job.
- Explained, with citationsEvery finding traces back to the evidence it was drawn from. You verify the reasoning, you do not take it on faith.
- 100%of decisions explained, with citationsnothing the platform concludes or does in production is a black box
Knowledge Retention
Tribal knowledge that stops walking out the door.
The person who knows why checkout breaks when pricing deploys. The RBAC model two people understand. The runbook on a sticky note. Opstral encodes that production knowledge as versioned, governed MOPs that ProcBot executes and Sherlock validates, so the procedure outlives the person and every fix makes the next one smarter.
- Encode once, execute foreverEvery business process becomes a procedure any L1, or the platform itself, can run.
- Validated, not assumedSherlock checks every fix against live metrics and scores procedure effectiveness.
- Faster onboarding, calmer on-callNew engineers execute proven procedures on day one instead of learning by outage.
- 85%automation of routine manual operations, measured in productionacross live enterprise deployments of Opstral.
Most AI platforms need your data to leave; regulated production environments cannot allow it. Opstral runs entirely inside your perimeter, air-gapped included, with the Data Governance Fabric curating and anonymising data before it reaches any model. Sovereignty here is not a deployment option bolted on later; it is how the platform was designed.
- Air-gapped and on-prem readyFull capability inside your perimeter, no callbacks, no data egress.
- No lock-inOpenTelemetry-native with a built-in ITSM layer; your data stays portable.
- Compliance evidence, continuouslyAudit trails and lineage generated as operations run, not compiled for three weeks before the audit.
- 0data egress requiredfull capability inside your perimeter, air-gapped included. Your telemetry, your knowledge and your models stay home.
Own Your Automation
Own your automation. Not another vendor's roadmap.
Build, tailor and own your solutions in the Agent Studio: your logic, your IP, on open standards. Every agent, automation, MOP (Method of Procedure) and dashboard your team creates on the platform is your intellectual property, versioned, portable and yours to keep. No black boxes, and no SI relationship for life.
- Your logic, your IPWhat your team builds in the Studio stays yours: versioned, exportable, and reusable across your estate.
- Open standards, no DSL prisonOpenTelemetry-native signals and standard tooling like Ansible, Python and shell, so nothing you write is trapped in a proprietary language.
- Extend without a services armyLow-code building means your engineers tailor the platform themselves; the vendor dependency ends where your team begins.
- 100%of what you create is your IPyour agents, automations, MOPs and dashboards belong to you; the platform is the foundation you build them on