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// internal developer platform, as a service

Your people build.
Ybor runs the rest.

Ybor generates the services, provisions the clusters and databases they need, runs the pipelines and keeps the whole stack current, in your cloud accounts, governed by default.

Contact Us Book a demo
  • AICPA SOC for Service Organizations logoSOC 2 Type 2
  • AzureRuns in your AzureYour accounts · AWS coming soon
  • No lock-inOpen-source core
// you · orders-api/handler.ts
1
2
3
export async function createOrder(req) {
  return db.orders.insert(req.body)
}
$ git push · that's your part
// ybor · runs the rest
Service generated orders-apiready
Cluster + database aks · postgresprovisioned
Pipeline build → stg → prdpassed
Stack kept current k8s 1.31 · pg 16.4in sync
cloud accountyours · azure-prod-4471
policiessecurity defaults · 42 / 42 passing
// what is ybor

From prompt to production, without the platform backlog.

0:00 / 1:04

// demo recorded on AWS · customer deployments run on Azure today, AWS coming soon

// the problem

An urgent AI mandate. A delivery system that can't keep up.

Code is ready in minutes; release windows are still weekly. Spend climbs faster than shipped capability, and platform teams are holding it together by hand. None of it is an AI problem. It's a delivery-system problem.

// the velocity gap

Code ships in minutes. Everything after doesn't.

Developers ship 5–19× more PRs with AI. Review, tests, and security gates were sized for human throughput, so they queue, get rubber-stamped, or get skipped. The gap between "merged" and "live" now dominates the cycle.

// the leverage gap

Your product outgrows your platform team every quarter.

Developer orgs grow faster than the platform teams supporting them. Ticket queues, manual reviews, and bespoke infra keep those teams in reactive work that scales linearly with headcount, so the support gap only widens.

// the governance gap

Speed without a shared playbook becomes sprawl.

Every team picks its own AI tools, prompts, and guardrails. No one can answer "what's actually in production," institutional knowledge erodes, and the platform team is the last to know.

// the platform

One platform, from infrastructure to production. Built on open source.

Ybor runs your infrastructure (the clusters, policies, secrets, and multi-cloud plumbing) and delivers your applications through it: scaffolding, CI/CD, deployments, rollbacks. Your team owns the source code, the clusters, and the data, on open foundations you can walk away with.

// in your cloud accounts open-source foundations · your clusters, your data

APPLICATION DELIVERY

From commit to production in minutes.

Scaffold a service from a vetted archetype, wire it into CI/CD, ship through ArgoCD and Kargo to staging and prod. Secret injection, service mesh, and policy enforcement are included on every service.

Explore Application Delivery
  • 7 archetype families: Java, .NET, Python, Rust, TypeScript, Data/AI, Shared
  • CI/CD on GitHub Actions, deploy via ArgoCD + Kargo
  • Secret injection via Vault (cloud-native)
  • Audit trail and rollback built-in
studio.ybor.ai / applications / new
1/4Pick a vetted archetype

PLATFORM INFRASTRUCTURE

Production infrastructure on day one.

Provision AKS clusters from a single API, with EKS coming soon. Crossplane and Cluster API under the hood. Istio, Kyverno, RBAC, mTLS, and observability wired in by default.

Explore Platform Infrastructure
  • Azure today · AWS coming soon
  • Built on Crossplane, Cluster API, Istio, Kyverno
  • Object model: Enterprise → Organization → Application → Environment → Cluster
  • Security controls enforced at the platform layer
studio.ybor.ai / installables / new
1/4Bring your own Helm chart
// also part of the platform
Security & ComplianceSOC 2 report, policy-as-code, mTLS, audit GovernanceGuardrails, RBAC, what's-in-production visibility Operations & ObservabilityMonitoring, incident response, day-2
// how it works

Empty repo to production, on one governed path.

Every service your teams ship follows the same backbone: a layered object model, Kubernetes operators that reconcile it, and an addon catalog on every cluster. Your developers ship; Ybor handles the wiring.

01

Scaffold

Pick a vetted archetype. One CLI command creates the repo, CI workflow, and base manifests.

$ archetect render
02

Commit

Push to GitHub. CI runs the matching workflow: test, scan, build, sign.

$ git push origin main
03

Provision

Ybor reconciles Crossplane compositions. New environment, cluster, or namespace: operators handle it.

✓ stg · provisioned
04

Deploy

ArgoCD promotes the artifact through environments. Kargo gates each hop on policy, tests, approvals.

$ argocd app sync
05

Observe

OpenTelemetry, Grafana, and Datadog come pre-wired. Audit logs ship to your SIEM.

✓ traces · live
See how the platform works
// outcomes

Same team. More services in production.

3×
Faster onboarding for new developers, with pre-configured environments.
// Ashley Furniture internal benchmark, 2025
50–60%
Reduction in time-to-environment provisioning, using Ybor scaffolding.
// Aggregated customer data, 2025–2026
80%
Fewer manual setup tasks across cloning, cloud auth, and access.
// Aggregated customer data, 2025
30%
Cut in time-to-market across infra, environments, and deployments.
// Ashley Furniture internal benchmark, 2025
Methodology
// security

Security your reviewers can verify.

Ybor's own controls are covered by a SOC 2® Type 2 report. On your clusters, the platform turns on mTLS between services, Kyverno policy checks, RBAC scoped to the object model, and audit logs that ship to your SIEM. Your security team gets the evidence, not a procurement headache.

  • SOC 2 Type 2 report on request
  • mTLS via Istio, default-on
  • Kyverno best-practice policies, audit-mode out of the box
  • RBAC scoped to Enterprise → Organization → Application
  • Vault-backed secret injection
  • Namespace isolation per Application × Environment
IstioKyvernoVaultOpenTelemetry
// who it's for

For the people who build, and the people who answer for it.

Builders across the business

Go from a prompt to a running service without filing a ticket. Ybor provisions, secures, and deploys it on your company's standards.

See how it works

Platform Engineering Leads

Build a backend that developers actually use. Object model, Crossplane compositions, archetypes, and audit logs, without rebuilding the orchestrator from scratch.

Read the Platform Infrastructure page

CTOs & VP Engineering

Cut time to market without cutting compliance. A SOC 2 report on our controls, predictable spend, a platform that runs in your cloud accounts with no lock-in, and a roadmap you can show your board.

// resources

Read the docs. Track every release.

Developer Documentation

REST, gRPC, GraphQL design guides. Archetype catalog. CI/CD reference. The same docs our customers use.

Open the docs

Engineering Blog

Platform engineering patterns, Kubernetes deep dives, and behind-the-scenes notes from the team building Ybor.

Read the blog

Product Changelog

Every release. Every breaking change. Every new archetype. Published with the platform.

View the changelog

See what Ybor is worth to your engineering org.

We'll model your annual savings, three-year ROI, and payback, and hand you a business case you can take to your CFO. No slideware, no obligation.

Contact Us Book a demo

"Working with Ybor.ai has been a turning point for Ashley, allowing us to move past the constraints of legacy technology. Their platform gave us the structure and support to modernize confidently, without disrupting our operations.

As a result, our teams are now better equipped to adapt and innovate, laying the groundwork for meaningful adoption of artificial intelligence. While we embrace an AI-first mindset, the Ybor platform continues to play a key role in driving our ongoing modernization efforts."

Rich Teachout
CTO, Ashley Furniture Industries