AI Deployments
Every deployment, orchestrated by AI — from first launch to every release after
Initial deployments, version updates, migrations, scaling events, and environment management — executed autonomously with progressive rollouts, continuous verification, and instant rollback.
Pre-flight checks on staging clone
schema diff · dependency audit · load test
Progressive rollout started
Anomaly check at each stage
Database migration applied
Rollout complete, baseline updated
What it deploys
One engine for every kind of deployment
New applications & stacks
Marketplace apps and multi-app stacks deployed with databases, SSO, networking, and integrations pre-wired by the AI Architect.
Your own code
Connect a Git repository and get AI-managed build, test, and deploy pipelines — with preview environments per branch.
Migrations from SaaS
Guided, AI-assisted migrations from Shopify, Salesforce, Google Analytics, and more — data mapped, imported, and verified.
Legacy re-platforming
Lift aging on-prem or VPS workloads into managed, monitored, auto-patched infrastructure with a parallel-run safety net.
Multi-region & edge
Replicate stacks across regions for residency or latency; the AI keeps configurations synchronized and fails over automatically.
Ephemeral environments
Spin up full production clones for testing, demos, or training — auto-destroyed on schedule so they never become snowflakes.
Release safety
Ship like the big platforms do — without their release team
Every release runs the playbook elite engineering organizations use, executed by AI: staged exposure, real-time verification against your baseline, and a rollback that triggers itself before users notice.
Progressive rollouts
Traffic shifts 5% → 25% → 100% with health gates between stages. Canary and blue-green strategies are one toggle away.
Verification against your KPIs
Beyond errors and latency, the AI watches business signals — checkout conversion, signup rate — and halts releases that hurt them.
Instant, automatic rollback
Regressions revert in seconds with state preserved. The failed release becomes a diagnostic report, not an outage.
Full release history
Every deploy is versioned with who, what, why, and the verification evidence — audit-ready by default.
Intelligent scheduling
Releases land in your lowest-traffic windows automatically — learned from your data, adjusted for your campaigns.
Any target
AnyStacks cloud, your AWS/GCP/Azure accounts, or hybrid — the same release engine everywhere.
Get started
Your next deployment could run itself
Show us what you ship and how it hurts today. We'll demo the same release running autonomously — then talk pricing.