One Platform. Your Entire Operation.Run by AI Agents.
A unified control plane and a governed agent workforce for your entire operation: cloud and on-prem infrastructure, the service desk, and engineering work.
The Build This Replaces
The fork every company hits: build a platform team, or keep bleeding product time.
- 3+ yearsto mature, for 70% of internal platform builds (Puppet 2026)
- 1 in 4measuring teams show significant improvement (State of Platform Engineering Vol 4, 2026)
- a beta multi-year build with long odds
- already builtdeploys into your own cloud account
- operatedrun for you, with no platform team to hire
- todaythe fork disappears
NebCore AI replaces that build-out. The infrastructure backbone below is what deploys into your cloud instead.
The Infrastructure Backbone
Six clouds and on-prem, managed as one estate. This is the surface everything else stands on.
AWS
Azure
GCP
Alibaba Cloud
DigitalOcean
OpenStack
On-Premise
Everything a Platform Needs, Built In
The capabilities a platform team would spend years assembling, delivered as one integrated system. Nothing to wire together yourself.
Continuous Delivery
Every change flows through Git and reconciles itself across all your clusters.
Progressive Rollouts
New releases take a slice of traffic first and roll back on their own if health slips.
Build Pipelines
Code goes from commit to a signed, multi-architecture image with provenance attached.
Infrastructure Provisioning
Describe what you need and the platform provisions it declaratively on any cloud.
Networking & Service Mesh
Service-to-service traffic, gateways, and encryption in transit, wired up for you.
Secrets & Certificates
Secrets stay in your own vault and TLS certificates renew themselves.
Policy & Admission Control
Risky or non-compliant changes are stopped at the cluster door before they land.
Supply-Chain Security
Every image is scanned for vulnerabilities, and only signed artifacts are allowed to run.
Compliance Evidence
Controls are checked on every change, with audit-ready evidence export built in.
Observability
Metrics, dashboards, and alerts for every workload, in one portal.
Cost Management
Spend broken down by cloud, cluster, and workload, with right-sizing built in.
Platform Chat
Ask your infrastructure and DevOps questions in the console or Slack chat.
One Pane of Glass
Your control plane: a single dashboard for apps, cost, security, policy, compliance, and monitoring across every cloud and on-prem cluster. Nothing to wire up, no five tabs to reconcile.
Health, version, and environment for every deployment, traced back to the change that shipped it.
The other panes read the same live state: spend with right-sizing suggestions, scan and rotation status, policy verdicts with the rule that fired, exportable compliance evidence, and golden-signal monitoring. Switch clouds, not tools; nothing to self-host, nothing to keep patched. The chat pane is a working surface too: steer an agent mid-task, stop it with undo, attach what it needs, search the whole chat history, and pick the thread back up days later.
Watch a Governed Run
Agents work under the same controls you would put on people. Here is the path one delegated task travels: identity, guardrails, an approval, a budget check, and the audit trail.
An illustration of the real control path: the same six controls apply to every agent, on every task. See how governance works
From Intent to Outcome
No infrastructure-as-code expertise, no ticket queues, no handoffs. Describe the result you want; the workforce takes it from there.
Describe
Tell NebCore AI what you need in plain English
The Right Playbook
Intake understands the request and picks the proven playbook
Agents Execute
Agents do the work under guardrails, approvals, and budgets
Platform Manages
Self-healing operations, continuously optimized
Everything the Workforce Runs
Infrastructure is one surface. The same governed agents carry the whole operation.
Provision, scale, heal
Requests, end to end
PRs, reviews, deploys
Six controls, evidence
The desk and the pipeline get their own deep dives. See the service desk or meet the AI workforce
Why NebCore AI Over the Alternatives
The same outcomes a full platform team delivers, without the headcount or the wait.
| NebCore AI | Build a platform team (DIY) | AI coding tools | Managed DevOps / PaaS | |
|---|---|---|---|---|
| What it does | Runs infra, the service desk, and engineering as one governed workforce | Whatever the team has time to build, infra and CI first | Writes code and opens pull requests | Hosts and deploys the app you wrote |
| Where it runs | Your own cloud and identity provider; no vendor control plane, and no standing root credentials to it | Your cloud (you build and hold all of it) | Mostly the vendor's cloud (some offer VPC or on-prem) | The vendor's cloud (some offer a BYOC add-on, often one cloud) |
| Governance | Six always-on controls on every agent action, built into the same platform that runs them; add-on governance tools instead sit over agents someone else runs | Whatever you wire yourself | Access, data-handling, and PR-review controls at the boundary | Platform security and RBAC |
| Compliance evidence | Continuous, mapped to the 15 frameworks the platform tracks (incl. NIST AI RMF and ISO 42001), exportable as OSCAL | Assembled by hand at audit time | The vendor's own certifications | The vendor's own certifications |
| Delivery | Progressive, health-gated deploys with automatic rollback; every merge cleared by an independent reviewer agent at zero blocking findings | Whatever the team builds | Stops at the pull request | Git-push deploys; rollback varies |
| Time and people | About 2 hours on the standard deployment path; no platform team to hire | Months to build; a standing platform team | Fast for a developer, but one tool among many | Fast for one app; you own the rest |
Frequently Asked Questions
Is NebCore AI only for infrastructure?
✓ full marksNo. Infrastructure is where it starts, not where it ends: the same governed workforce answers desk requests arriving over chat, Slack, email, and webhooks, and delivers engineering work as reviewed pull requests.
What does leadership actually get out of this?
✓ full marksA lower cloud bill (a 30-50% design target, measured against your own cloud baseline), audit-ready compliance evidence on tap, and one governed operation instead of a dozen point tools and the headcount to babysit them. The operational load stops competing with the roadmap.
How do we stay in control of AI operations?
✓ full marksSix always-on controls govern every agent: identity, guardrails, human approval gates for high-impact actions (answered in chat or Slack), budget hard-stops, independent checks, and a tamper-evident audit trail your auditors can read.
Which clouds and environments does NebCore AI support?
✓ full marksAWS, Azure, GCP, Alibaba Cloud, DigitalOcean, OpenStack, and on-premise or bare-metal Kubernetes, all managed declaratively from one control plane.
Does the platform run inside my own cloud account?
✓ full marksYes. Everything runs in your own cloud account (Bring Your Own Account). Nebinfra holds no standing root credentials to it, and your data never leaves your environment.
How fast can we get to production, and when does it pay back?
✓ full marksAbout 2 hours on the standard deployment path, versus the multi-month build-out a platform team would otherwise need. The ROI calculator projects positive ROI in under 3 months from the conservative 30% floor.