AI infrastructure your platform team can operate.
Pipelines, registries, serving, evals, and observability built into the stack you already run. Not another silo.
- Platform live
- 0-8wk
- Train to serve
- <0hr
- Reproducible runs
- 0%
- On-call ready
- 0/7
The platform layer most teams build accidentally.
Training pipelines, feature stores, model registries, online serving, eval gates, and observability. We assemble it from open-source and your existing infrastructure, instead of buying yet another all-in-one platform.
- Training pipelines (Kubeflow, Argo, Airflow, custom)
- Model registry, versioned datasets, and reproducible training
- Online and batch serving with autoscaling and cost dashboards
From discovery to production.
- 01
Discover
Audit your current AI infra, identify the gaps that block velocity, and pick the smallest set of changes that moves the needle.
- 02
Build
Stand up the missing layer on the tools you already run. We do not force a migration.
- 03
Deploy
Wire CI eval gates, monitoring, and on-call paths into your existing observability stack.
- 04
Hand off
Documented runbooks, training, and a knowledge transfer that lasts. Your team owns the platform.
Tired of one-off training scripts and Friday-night model deploys?
Book a 30-min consultWhat you get.
Your team owns it after we leave.
Every pipeline has a runbook. Every dashboard has an owner. Every release has an eval gate. We walk away when your platform team can take a model from notebook to production without us.
- Runbooks and architecture docs for everything we build
- Training and knowledge transfer until your team is autonomous
- Open-source first, vendor lock-in avoided
Common questions.
Make AI deploys boring.
Free 30-minute consultation. We'll size the gap and the path to close it.
Schedule consultation