Reduce alert noise
Group related signals into service-aware situations with impact, ownership, and priority.
Product
AI-native infrastructure operations and AIOps.
Correlate alerts, logs, topology, infrastructure state, cloud dependencies, services, changes, and runbooks into a live operational graph AI agents can reason over and act on.
NuralAI ITOM
Signal to root-cause-ready action
Observe
Ingest events, alerts, metrics, logs, traces, deployments, and health signals.
How it works
Infrastructure operations grounded in topology, telemetry, service impact, and safe automation.
NuralAI connects observability signals to infrastructure, cloud dependencies, services, owners, changes, runbooks, and policy so operations teams can act before incidents cascade.Find root cause faster
Trace symptoms to dependency paths, recent changes, degraded checks, and service health.
Prevent repeat incidents
Connect incidents to problem candidates, runbook updates, change controls, and learning loops.
Automate with controls
Use policies, approvals, confidence thresholds, rollback state, and evidence capture for remediation.
Product capabilities
Enterprise-grade depth for real it operations management operations.
Live topology
Auto-discover services, infrastructure, cloud resources, dependencies, and ownership.
Event correlation
Reduce alert noise by grouping related signals around affected services and business impact.
Root cause graphing
Trace symptoms to dependency paths, recent changes, failed checks, and degraded services.
Predictive health
Score service health continuously and surface failure risks before they cascade.
Runbook execution
Convert detection into governed remediation with approvals, rollbacks, and audit trails.
Operations workspace
Give NOC, SRE, and service owners one shared view of incident context.
Use cases
Run high-value workflows on one NuralAI product foundation.
Each use case connects AI reasoning, graph context, owner accountability, policy controls, and audit evidence.Event correlation
Cluster alerts, logs, traces, and health checks around affected services and owners.
Root cause graph
Show dependency paths, recent changes, infrastructure state, and likely causal signals.
Service health scoring
Track availability, performance, error budgets, SLA exposure, and customer impact.
Runbook remediation
Move from diagnosis to approved remediation with rollback and audit evidence.
Change impact
Connect deploys and changes to incidents, service degradation, dependency risk, and approvals.
Predictive operations
Surface risk trends and failure patterns before they become incidents.
How NuralAI automates work
Signal to root-cause-ready action.
Every workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
IT Operations Management Command Center
Governed AI active
Live product workspace
Event correlationCluster alerts, logs, traces, and health checks around affected services and owners.
Active
Root cause graphShow dependency paths, recent changes, infrastructure state, and likely causal signals.
Policy
Service health scoringTrack availability, performance, error budgets, SLA exposure, and customer impact.
Evidence
Alert noise60%reduction model in duplicate situations
MTTR42%improvement model with graph context
Repeat issues30%recurrence reduction model
IT Operations Management connects signals, graph context, policy, approvals, automation, and evidence in one NuralAI operating model.
Platform preview
What customers see inside NuralAI.
Responsive product preview for IT Operations Management. Text stays readable on desktop, tablet, and mobile.NuralAI IT Operations ManagementLive workspace | AI context, graph intelligence, workflows, and governance
Operations Graph
Topology, event correlation, service health, and root cause in one view
Alert storm138 alerts clustered into one customer-impacting incident
Noise -82%
Root causeConfig change mapped to degraded checkout service
Likely
Service mapAPI gateway, DB pool, and queue lag dependency path
Mapped
RunbookRestart worker group with rollback attached
Ready
AI context
Graph context and service ownership attached
Policy, approval, and rollback state visible
Approve action
Open audit trail
Service health forecast
Trend and governed resolution over time
Governed workflow loop
Each action links to graph context, policy checks, owner approval, evidence, and business impact.
Business outcomes
Build a product business case executives can inspect.
Use NuralAI to connect product adoption to measurable service, operations, cost, risk, and governance outcomes. Validate final projections with your real environment data during discovery.reduction model in duplicate situations
improvement model with graph context
recurrence reduction model
runbooks linked to approval trail
Third-party software integrations
Connect the tools your teams already run.
NuralAI brings existing ITSM, observability, cloud, identity, CI/CD, security, and collaboration systems into the same product operating model.
Live connector fabric
12 domains
Graph-aware
Policy-routed
NuralAI AI Platform
Every connector feeds the same signal, graph, workflow, AI decisioning, and audit model.
SenseGraphDecideActGovern
Service workflow
Tickets, requests, changes, approvals, and collaboration context.
IT
ITSM
Incidents and requests
JR
Jira
Engineering work
SL
Slack
War-room updates
TM
Teams
Approvals and owners
Observability
Signals, health, topology, escalations, logs, and event context.
PD
PagerDuty
Escalation state
DD
Datadog
Metrics and traces
SP
Splunk
Logs and searches
Cloud and infrastructure
Assets, projects, resources, posture, policy, and cost signals.
AW
AWS
Accounts and assets
AZ
Azure
Subscriptions
GC
GCP
Projects and services
Identity and delivery
Access, deployment events, ownership, controls, and release context.
OK
Okta
Identity context
GH
GitHub
Deployments and code
CI
CI/CD
Release signals
Resources for you
IT Operations Management materials for evaluation and rollout.
ITOM command center demo
See correlated signals become root-cause-ready incidents and governed runbooks.
OpenAIOps operating model
Plan topology, correlation, owner routing, remediation, and measurement.
OpenITOM value model
Estimate alert reduction, MTTR, recurrence, and outage impact.
OpenGoverned remediation controls
Review approval, rollback, policy, and evidence patterns.
OpenFrequently asked questions
Common it operations management questions.
How does NuralAI ITOM reduce alert noise?
NuralAI correlates signals around services, topology, dependency paths, recent changes, ownership, and business impact.
Does NuralAI replace observability tools?
No. NuralAI connects observability, ITSM, cloud, CI/CD, identity, and collaboration systems into a governed operations workflow layer.
How does root cause analysis work?
NuralAI uses graph context, recent changes, health signals, runbooks, and historical incidents to surface likely causes and recommended actions.
Can remediation be automated?
Yes. Remediation can run through policies, approvals, confidence thresholds, rollback plans, and audit evidence.
Powered by the NuralAI AI Platform
Connect topology, AIOps, service health, runbooks, and governance in one NuralAI ITOM model.
Correlate alerts, logs, topology, infrastructure state, cloud dependencies, services, changes, and runbooks into a live operational graph AI agents can reason over and act on.
AI Operating Flow
Solutions are shown as governed AI work, not static feature lists.
Each NuralAI solution moves from signal detection to graph context, agent reasoning, risk evaluation, approval, execution, evidence, and executive reporting in one enterprise AI control plane.
Solution AI FlowModel trace active
Incident, request, cloud, cost, compliance, or service signal enters the AI operating layer.
IngestGraph CMDB maps service impact, owner, dependency, change, control, and business risk.
GraphPolicy-aware agents generate the next best action with confidence and guardrails.
AgentApproved action, evidence-backed automation, and value model update are recorded.
Proof