Control cloud sprawl
See resources, owners, services, environments, posture, and cost across cloud providers.
Product
Connect AWS, Azure, GCP, Kubernetes, compute, storage, network, IAM, observability, cost, policy, service ownership, and remediation into one governed cloud operations platform.
Normalize cloud assets, projects, clusters, services, tags, posture, and ownership.
How it works
See resources, owners, services, environments, posture, and cost across cloud providers.
Route configuration, access, tagging, backup, and encryption findings through governed remediation.
Tie spend anomalies and waste recommendations to service owners and approved engineering work.
Capture cloud findings, approvals, changes, rollback state, and business impact in one audit trail.
Product capabilities
See compute, storage, network, containers, serverless, and managed services across clouds.
Detect drift in tagging, encryption, access, backup, and configuration policies.
Link cloud events to services, dependencies, owners, and customer impact.
Surface waste, idle resources, oversized instances, and anomaly patterns.
Schedule, approve, and execute cloud changes through NuralAI workflows.
Connect cloud health, spend, and resilience to business KPIs.
Use cases
Map accounts, subscriptions, projects, clusters, workloads, tags, owners, and service dependencies.
Detect drift in encryption, backup, access, network, tag, and configuration controls.
Link cloud events to affected services, customers, owners, recent changes, and runbooks.
Move waste, rightsizing, idle resource, and anomaly findings into accountable workflows.
Connect cluster health, deployments, policy, capacity, and service impact into response workflows.
Schedule fixes, apply change gates, notify owners, and capture rollback evidence.
How NuralAI automates work
Live product workspace
Cloud Operations connects signals, graph context, policy, approvals, automation, and evidence in one NuralAI operating model.
Platform preview
Inventory, policy, cost, risk, ownership, and remediation across clouds
Graph context and service ownership attached
Policy, approval, and rollback state visible
Trend and governed resolution over time
Each action links to graph context, policy checks, owner approval, evidence, and business impact.
Business outcomes
speed improvement model
savings pipeline model
monitored resource scope
approved cloud actions tracked
Third-party software integrations
NuralAI brings existing ITSM, observability, cloud, identity, CI/CD, security, and collaboration systems into the same product operating model.
Every connector feeds the same signal, graph, workflow, AI decisioning, and audit model.
Tickets, requests, changes, approvals, and collaboration context.
Signals, health, topology, escalations, logs, and event context.
Assets, projects, resources, posture, policy, and cost signals.
Access, deployment events, ownership, controls, and release context.
Resources for you
See cloud findings move from detection to approved remediation.
OpenPlan inventory, policy, cost, remediation, and reporting workflows.
OpenEstimate savings, risk reduction, and engineering productivity impact.
OpenReview approval, audit, identity, and evidence controls.
OpenFrequently asked questions
NuralAI is designed for multi-cloud operations across AWS, Azure, GCP, Kubernetes, observability, ITSM, identity, and collaboration tools.
No. NuralAI connects cloud consoles and operational tools into a governed workflow layer for ownership, policy, action, and evidence.
Sensitive actions can require approvals, change gates, policy checks, blast-radius context, and rollback plans.
Yes. NuralAI connects cost, posture, ownership, service impact, and remediation so teams can act with operational context.
Powered by the NuralAI AI Platform
Connect AWS, Azure, GCP, Kubernetes, compute, storage, network, IAM, observability, cost, policy, service ownership, and remediation into one governed cloud operations platform.
AI Operating Flow
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.
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