More time to build. Less platform work.
Your application should reach users without your team having to build a platform first. Ankra connects your team and its agents to the infrastructure work that remains.
Creating applications has become easy. Running them is still hard.
An idea can become working code in an afternoon. Deployment, operations and growth still demand infrastructure expertise.
Shipping waits on a ticket
Developers queue behind a platform team for every environment, secret, and deploy. The application is ready, but the infrastructure still needs work.
- Environments wait in a Jira queue
- One platform team gates every deploy
- Release windows instead of releases
Building is only the beginning
A coding agent can build the application, but needs current logs, events and resource state to investigate what happens once it is running.
- YAML drifts apart across clusters
- kubectl access nobody fully audits
- Agents without live infrastructure context
Growth brings more platform work
More environments, services and clouds mean more configuration to maintain. Teams need a repeatable way to grow without rebuilding their platform for each workload.
- Clusters provisioned for peak, busy at idle
- Platform headcount scales with clusters
- Every team buys its own tooling
One platform the whole org agrees on
The people who ship and the people who answer for it finally want the same tool.
Build your product. Let Ankra handle the platform.
Keep your coding workflow. Connect your repository and give your agent the infrastructure context and tools to deploy and operate what you build.
- Connect an existing application repository
- Prepare environments with reusable stacks
- AI debugs with full cluster context
- Use your editor, terminal and coding agent
Stop being the ticket queue
Set access for your team and its agents. Reuse stack profiles and keep configuration in Git so deployment and operations follow a shared workflow.
- Set guardrails once, let teams self-serve
- Review AI stack drafts and gated actions
- Operate the whole fleet from one pane
- Keep infrastructure configuration in Git
Spend engineering time on the product
Ankra brings provisioning, delivery and operations together. Start with one workload, then expand as your infrastructure needs grow.
- Bring deployment and operations together
- See infrastructure cost across your fleet
- Reuse a platform across environments
- No lock-in. Turn it off, infra keeps running
Less work between your application and its users
Ankra brings the recurring work of deployment and operations into one platform.
One workflow for your team and its agents
Give agents the tools. Set the boundaries.
Live infrastructure context, scoped access and reviewable changes help your team put agents to work.
- AI
The AI proposes a draft
AI stack changes start as drafts. Agents use the infrastructure context and tools that your team makes available.
- Human
A human approves it
Review stack drafts and gated pending actions before they execute. Direct API and CLI calls use the permissions of the caller.
- Git
It becomes a commit
Approved stack configuration is stored in your GitOps repository. Ankra reconciles it to the cluster, and configuration changes can be reverted in Git.
- Audit
The change stays traceable
Git history records configuration changes. Agent transcripts and execution records show what was requested and what ran.
- AI · draft
Add Redis cache to payments stack
a3f91c2 · proposed · 14:02
- j.okafor
Approved draft a3f91c2
7be40d8 · approved · 14:09
- gitops
Reconciled payments → prod-eu
7be40d8 · synced · 14:09
- AI · draft
Scale ingress replicas 2 → 4
c81a07e · awaiting review
Every change, human or AI, traces back to a commit
Watch an agent stop and ask
The draft-approve-commit loop is the part that has to be believed rather than read. Here it is on a real cluster: the agent bumps a chart version, and waits for a person before anything reaches production.
Plays from YouTube. Open on YouTube instead
An AI platform engineer you can actually sign off on
Fast enough for developers, safe enough for the people who carry the risk.
AIs deleted production this year. Ankra's can't.
The AI proposes a draft; a human approves it; nothing reaches a cluster unreviewed. It never holds raw cloud credentials, so there are no destructive buttons to push.
- Draft → review → approve, on every change
- No standing credentials to your clouds
- Blast radius scoped by your RBAC
- Pause the AI anytime, keep shipping
Git is the source of truth
Every change, whether human or AI, is a commit. Rollback is a git revert, secrets are SOPS-encrypted, access is RBAC-scoped, and an audit takes hours, not weeks.
- Branch-protected GitOps repositories
- Attributed commits with author and SHA
- Drift detected and reconciled automatically
- A history the AI can't rewrite
Bring your own Kubernetes. No lock-in.
Any cloud, on-prem, edge, or air-gapped, imported with one Helm install. Turn Ankra off tomorrow and your clusters keep running from your own Git.
- EKS, GKE, AKS, on-prem, edge, air-gapped
- Imports existing clusters as they are
- No proprietary runtime inside your cluster
- Leave anytime, your Git keeps working
Built for compliance & sovereignty
The engine runs inside your boundary under your RBAC. Data residency, regulated industries, and append-only, exportable audit trails are handled by design, not bolted on.
- Engine runs inside your boundary
- Data residency under your control
- Per-action audit events, exportable
- Least-privilege service accounts only
See our trust page for compliance posture, data handling, and sub-processors.
Runs on every cluster, every cloud
Applications running on real infrastructure
Depict uses Ankra to build and operate its platform across three clouds.
Five Ankra-built clusters support production, staging and workflows across OVHcloud, Hetzner and Google Cloud. Depict keeps its configuration in Git.
See the customer evidenceSee Ankra in action from a code commit to a running application.
Watch a recorded workflow on real infrastructure: build, security scans, a versioned image, deployment across clusters and the operations that follow.
Watch the workflowYou build it.
Let Ankra run it.
Start with one application. Connect your repository, choose where it runs and let Ankra handle the platform work.