Product

AI-native multi-cloud infrastructure management.

Connect AWS, Azure, GCP, Kubernetes, compute, storage, network, IAM, observability, cost, policy, service ownership, and remediation into one governed cloud operations platform.

NuralAI Cloud Operations Cloud signal to approved remediation
Discover

Normalize cloud assets, projects, clusters, services, tags, posture, and ownership.

How it works

Cloud management that turns inventory, posture, cost, and risk into governed action.

NuralAI turns cloud signals into governed workflows by attaching ownership, service dependency, policy, cost, risk, change, and remediation context before teams make changes.

Control cloud sprawl

See resources, owners, services, environments, posture, and cost across cloud providers.

Reduce drift safely

Route configuration, access, tagging, backup, and encryption findings through governed remediation.

Connect ops and FinOps

Tie spend anomalies and waste recommendations to service owners and approved engineering work.

Operate with evidence

Capture cloud findings, approvals, changes, rollback state, and business impact in one audit trail.

Product capabilities

Enterprise-grade depth for real cloud operations operations.

Unified inventory

See compute, storage, network, containers, serverless, and managed services across clouds.

Policy enforcement

Detect drift in tagging, encryption, access, backup, and configuration policies.

Cloud incident context

Link cloud events to services, dependencies, owners, and customer impact.

Cost controls

Surface waste, idle resources, oversized instances, and anomaly patterns.

Governed remediation

Schedule, approve, and execute cloud changes through NuralAI workflows.

Executive visibility

Connect cloud health, spend, and resilience to business KPIs.

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.

Unified cloud inventory

Map accounts, subscriptions, projects, clusters, workloads, tags, owners, and service dependencies.

Policy drift remediation

Detect drift in encryption, backup, access, network, tag, and configuration controls.

Cloud incident context

Link cloud events to affected services, customers, owners, recent changes, and runbooks.

Cost and waste action

Move waste, rightsizing, idle resource, and anomaly findings into accountable workflows.

Kubernetes operations

Connect cluster health, deployments, policy, capacity, and service impact into response workflows.

Approved remediation

Schedule fixes, apply change gates, notify owners, and capture rollback evidence.

How NuralAI automates work

Cloud signal to approved remediation.

Every workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
Cloud Operations Command Center Governed AI active

Live product workspace

Unified cloud inventoryMap accounts, subscriptions, projects, clusters, workloads, tags, owners, and service dependencies.
Active
Policy drift remediationDetect drift in encryption, backup, access, network, tag, and configuration controls.
Policy
Cloud incident contextLink cloud events to affected services, customers, owners, recent changes, and runbooks.
Evidence
Drift response45%speed improvement model
Cloud waste30%savings pipeline model
Policy coverage97%monitored resource scope

Cloud Operations 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 Cloud Operations. Text stays readable on desktop, tablet, and mobile.
Representative NuralAI product experience: role-aware workspace, AI reasoning, graph context, metrics, and governed action controls.

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.
Drift response45%

speed improvement model

Cloud waste30%

savings pipeline model

Policy coverage97%

monitored resource scope

Evidence capture100%

approved cloud actions tracked

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

Cloud Operations materials for evaluation and rollout.

Demo

Cloud operations demo

See cloud findings move from detection to approved remediation.

Open
Guide

Multi-cloud control blueprint

Plan inventory, policy, cost, remediation, and reporting workflows.

Open
ROI

Cloud operations value model

Estimate savings, risk reduction, and engineering productivity impact.

Open
Trust

Cloud governance controls

Review approval, audit, identity, and evidence controls.

Open

Frequently asked questions

Common cloud operations questions.

Which cloud providers can NuralAI support?

NuralAI is designed for multi-cloud operations across AWS, Azure, GCP, Kubernetes, observability, ITSM, identity, and collaboration tools.

Does NuralAI replace cloud consoles?

No. NuralAI connects cloud consoles and operational tools into a governed workflow layer for ownership, policy, action, and evidence.

How does cloud remediation stay safe?

Sensitive actions can require approvals, change gates, policy checks, blast-radius context, and rollback plans.

Can cloud cost and risk be handled together?

Yes. NuralAI connects cost, posture, ownership, service impact, and remediation so teams can act with operational context.

Powered by the NuralAI AI Platform

Bring cloud health, risk, cost, ownership, and remediation into one governed NuralAI operating model.

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

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
01 Signal

Incident, request, cloud, cost, compliance, or service signal enters the AI operating layer.

Ingest
02 Context

Graph CMDB maps service impact, owner, dependency, change, control, and business risk.

Graph
03 Decision

Policy-aware agents generate the next best action with confidence and guardrails.

Agent
04 Outcome

Approved action, evidence-backed automation, and value model update are recorded.

Proof