Sense
Tickets, alerts, cost signals, changes, and cloud events
Products by category
AI-native products for infrastructure, cloud operations, and ITSM workflows.
Explore NuralAI products by the way Enterprise IT teams actually work: service management, infrastructure operations, cloud operations, FinOps, governed AI, and executive visibility.
NuralAI AI operating layer
Products
Graph
Services, owners, risk, policies, and business impact
Act
Approved workflows, AI agents, remediation, and evidence
7product areas
1shared platform
100%governed actions
Product surface
A consistent enterprise software workspace across every product.
NuralAI product pages should feel like one real platform, not separate decorative diagrams. The product surface uses the same navigation, operational records, graph context, approval records, audit trail, and executive value model across ITSM, ITOM, Cloud Operations, FinOps, AI Agents, and Executive Command Center.
- Navigation exposes the actual operating areas buyers expect to inspect.
- Data tables show incidents, findings, owners, approvals, status, and evidence.
- Side panels show policy gates, rollback evidence, model traces, and executive proof.
NuralAI Unified Operations Workspace
Enterprise tenant
Cross-product command queue
Incidents, cloud findings, savings, and approvals in one work surface
163Open work
42Approvals
100%Evidence design
RecordWork itemOwnerStatus
INC-10482Checkout latency with graph-grounded root causeSRETriage
SEC-119Public bucket mapped to regulated payments serviceCloud SecApproval
FIN-274Idle GPU pool queued for owner-approved savings actionFinOpsReady
AUD-882AI recommendation, policy result, approver, and rollback recordRiskCaptured
Featured products
Product categories for AI-native Enterprise IT.
Each product runs on the same NuralAI graph, policy, workflow, integration, and audit model, so infrastructure, service, cloud, cost, and risk context follows work from detection to executive reporting.
Service management
IT Service Management
Resolve incidents, requests, changes, knowledge, and SLA risk with graph-grounded AI assistance connected to infrastructure and cloud context.
ITSMService Desk
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Infrastructure operations
IT Operations Management
Correlate infrastructure alerts, topology, recent changes, owners, cloud dependencies, and business impact into root-cause workflows.
ITOMAIOps
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Cloud operations
Cloud Operations
Govern cloud inventory, posture, policy drift, remediation, ownership, and infrastructure risk in one operating layer.
CloudPolicy
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Cost execution
FinOps Intelligence
Turn spend, waste, rightsizing, commitments, and anomalies into approved owner workflows.
FinOpsSavings
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Unified work
Service Operations Workspace
Give teams one command queue for incidents, requests, alerts, changes, approvals, and evidence.
WorkspaceGovernance
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Leadership visibility
Executive Command Center
Connect service health, automation value, savings, risk, and board-ready reporting.
ExecutiveValue
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Autonomous execution
AI Agents
Design governed AI specialists that reason with graph context, policies, approvals, and audit trails.
AIAutomation
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NuralAI AI Platform
One platform, ready for ITSM, infrastructure operations, cloud, cost, and governed AI.
Use NuralAI to add autonomous execution without fragmenting infrastructure data, service context, cloud controls, approvals, audit evidence, or executive reporting across separate tools.
AI platform
NuralAI AI Platform
Unify infrastructure, cloud, ITSM, AI, graph data, workflows, integrations, and governance so automation can scale under control.
AIGraphWorkflow
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Control surface
NuralAI Control Panel
Govern AI agents, infrastructure actions, cloud remediations, ITSM workflows, approvals, policies, and value reporting.
NuralAIGovernance
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Graph context
Graph CMDB
A living map of services, dependencies, owners, customers, cloud resources, changes, and controls.
CMDBImpact
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Architecture
Integration Fabric
Connect the tools enterprises already run across ITSM, observability, cloud, identity, CI/CD, and collaboration.
ConnectorsData
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Governance
Trust Center
Review identity, data handling, responsible AI, approval controls, evidence, and security practices.
SecurityEvidence
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Solution categories
Start with the outcome path that matches your first transformation wave.
Enterprise IT workflows
ITSM and infrastructure operations
Bring service delivery, infrastructure operations, AIOps, cloud operations, and executive reporting together for Enterprise IT.
Explore category
Cloud workflows
Cloud operations and FinOps
Connect cloud inventory, infrastructure posture, cost, risk, owners, policy, and remediation into governed action.
Explore category
AI workflows
Autonomous service desk
Move routine requests and incidents from manual queues to governed AI resolution.
Explore categoryEvaluate NuralAI
Give every stakeholder the product path they need to inspect.
Use the demo library, ROI model, comparison matrix, and trust center to evaluate product fit across technical, financial, and governance review.
Demo
Demo Library
Watch product and solution walkthroughs by role, workflow, and evaluation stage.
VideoWorkflow
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ROI
ROI Calculator
Build a value model for cost savings, automation, risk reduction, and implementation planning.
Business casePPT
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Comparison
Market Comparison
Compare NuralAI against traditional ITSM, ITOM, FinOps, and workflow platforms.
Buyer guideCriteria
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Product strategy
Map your first NuralAI product rollout.
Start with one high-value infrastructure, cloud, or ITSM workflow, prove governance and ROI, then expand across service, operations, cloud, FinOps, and executive reporting.
AI Product Surface
Every product area runs on the same governed AI operating model.
NuralAI product pages now show the actual work pattern buyers inspect: graph-grounded recommendations, policy-aware agents, human-in-the-loop approval, AI-generated remediation plans, model traceability, and executive value updates.
Product AI CommandModel trace active
Product signal is correlated against services, owners, cloud resources, and SLA risk.
SignalAI-generated remediation plan cites graph evidence, runbook, confidence, and rollback.
AIPolicy engine decides whether autonomous action is allowed or human approval is required.
GateModel trace, approver, action result, and value impact are stored for audit.
Evidence