AWS accountsCompute, storage, IAM
Governed
NuralAI AI Platform
Manage infrastructure, cloud operations, and ITSM with governed AI.
NuralAI gives Enterprise IT one NuralAI Control Panel for AWS, Azure, GCP, Kubernetes, infrastructure telemetry, service relationships, incidents, changes, cost, policy, and approved remediation.
NuralAI Control Panel
Enterprise IT control active
Enterprise IT operating surface
Azure subscriptionsPolicy, cost, changes
Safe
GCP projectsServices, spend, posture
Mapped
Kubernetes clustersDeployments, pods, nodes
Live
How it works
You cannot govern Enterprise IT without seeing the full infrastructure, cloud, service, and AI operating surface.
NuralAI discovers services, infrastructure, cloud resources, AI agents, models, identities, tools, automations, workflows, decisions, and actions touching IT operations. Then it applies policy, risk, runtime monitoring, and value measurement through the same graph and workflow fabric.Discover infrastructure and cloud
Inventory services, infrastructure, cloud resources, AI agents, automations, model endpoints, identities, integrations, and connected tools without losing operational context.
ExploreMap the graph
Connect cloud resources, services, owners, topology, changes, incidents, policies, cost centers, and business impact before AI acts.
ExploreGovern remediation
Define policy, risk, human approval, exception handling, rollback, and audit requirements across ITSM, infrastructure, cloud, FinOps, and autonomous workflows.
ExploreObserve service health
Monitor agent execution, infrastructure health, cloud posture, service quality, confidence, runtime traces, escalations, policy blocks, and operational quality across ITSM, ITOM, cloud, and FinOps.
ExploreMeasure business value
Track adoption, deflection, MTTR, cloud savings, avoided risk, productivity, executive outcomes, and ROI from day one.
ExploreBuilt on the NuralAI AI Platform
Infrastructure, cloud, ITSM, AI, graph context, workflows, integrations, and governance on one enterprise operating layer.
NuralAI Control Panel runs on the same graph CMDB, workflow engine, integration fabric, identity model, and audit layer that power every NuralAI product.Connect AI to Enterprise IT
Map AI assets and actions to services, infrastructure dependencies, owners, incidents, changes, cloud resources, cost centers, and business impact.
Learn moreSimplify complex workflows
Use one NuralAI operating model to automate AI-powered remediation, approvals, ticket updates, notifications, rollback, and evidence capture across ITSM, infrastructure, and cloud.
Learn moreTrack Enterprise IT value
Turn infrastructure, cloud, ITSM, and AI visibility into executive reporting with measurable automation value, risk reduction, cost savings, and service resilience metrics.
Learn moreIntegrate any IT or AI system
Govern NuralAI agents, internal agents, third-party models, external AI tools, ITSM systems, observability platforms, cloud services, and connected automation through one policy-aware control plane.
Learn more
Empowering AI and IT leaders
Give every stakeholder one trusted view of autonomous operations.
NuralAI connects strategy, governance, runtime performance, risk, and value so leaders can inspect both the AI program and the operational work it performs.Chief AI Officer
Align AI initiatives to operating goals, prioritize automation programs, measure adoption, prove ROI, and scale autonomous workflows responsibly.
CIO and CTO
Connect AI investments to services, technology assets, cloud estates, service quality, reliability, security posture, and business outcomes.
Risk and Security Leaders
Assess AI risk, monitor compliance, enforce approval gates, manage identity exposure, and maintain audit-ready evidence across the lifecycle.
IT Operations Leaders
Control how AI agents triage, recommend, execute, escalate, rollback, and report work across service, operations, cloud, and FinOps teams.
Package
NuralAI Control Panel.
Centralize oversight for AI-native infrastructure, cloud, ITSM, and autonomous operations from AI discovery to runtime governance, value tracking, and executive reporting.Get the capabilities to manage governed AI end to end.
Contact sales
NuralAI Control Panel workspaceAI discovery and inventory modelAgent and model lifecycle governanceAI identity and permission monitoringAI risk and compliance case managementPolicy, approval, rollback, and audit evidenceRuntime traces, confidence, exceptions, and quality metricsExecutive value and ROI reporting
AI Agents
Deploy governed specialists for incident, change, knowledge, cloud, FinOps, and compliance work.
ExploreGraph CMDB
Connect AI assets and actions to services, owners, dependencies, risk, cost, and business impact.
ExploreTrust Center
Review NuralAI controls for responsible AI, approvals, auditability, privacy, and enterprise governance.
ExploreTalk to an expert
Discover how NuralAI can govern, measure, and scale AI-native Enterprise IT operations.
Bring your current infrastructure estate, cloud platforms, ITSM tools, AI agents, automations, security requirements, and value targets. NuralAI can map the NuralAI Control Panel path for your environment.NuralAI Control Panel demo
See NuralAI discover AI assets, enforce controls, monitor agent runtime, and prove value.
OpenPlatform architecture
Review the NuralAI graph, workflow, integration, AI, and governance model.
OpenAI governance controls
Inspect policy, approvals, auditability, identity, and responsible AI controls.
OpenFAQ
Common evaluation questions.
How is NuralAI different from legacy ITSM?
NuralAI is built around AI agents, graph context, evidence-backed governed autonomous action, and governance rather than manual ticket queues alone.
Can NuralAI work with existing tools?
Yes. The platform story should emphasize connectors and workflow coexistence before full migration.
How are AI actions governed?
Agents operate within permissions, policy checks, confidence thresholds, approvals, and immutable audit trails.
How should proof be handled?
Publish only verified metrics, approved enterprise use cases, and documented security or compliance claims.
Platform AI Control Plane
The platform exposes how NuralAI senses, reasons, governs, acts, and proves.
NuralAI combines data ingestion, graph context, agent reasoning, policy engine, approval gates, execution connectors, audit/model trace, security boundaries, and deployment controls.
NuralAI AI RuntimeModel trace active
Tickets, alerts, telemetry, cloud events, IAM, cost, changes, and knowledge are normalized.
DataAgents use graph-grounded recommendations instead of isolated prompt responses.
AgentPolicy gates, approval thresholds, identity scope, and rollback plans control action.
PolicyEvery prompt, model result, human approval, connector call, and outcome is auditable.
Trace