Your AI, in your cloud — built to scale on GCP and AWS.
We design, migrate, and run AI automation in your own Google Cloud and AWS accounts — well-architected, autoscaling, secure, and fully observable. Your data and models stay yours.
Google Cloud
GCP
- Cloud Run & GKE
- Vertex AI
- Pub/Sub & Cloud Tasks
- BigQuery
- Cloud SQL & AlloyDB
- Secret Manager & IAM
Amazon Web Services
AWS
- ECS Fargate & EKS
- Bedrock & SageMaker
- SQS & EventBridge
- Redshift & Athena
- RDS & Aurora
- Secrets Manager & IAM
Multi-cloud and hybrid welcome. We work inside your accounts — you keep ownership, billing, and control.
One route from the call to the cloud.
A typical AIonRoute deployment — every stage runs on managed services in your cloud, with security and observability across the board.
The cloud work, done properly.
From the first architecture diagram to production on-call, we cover the full lifecycle.
Architecture & design
Well-architected solution design: the right managed services, clear data flows, and cost modeled up front.
Migration
Move from prototypes, on-prem, or legacy stacks to managed cloud — with phased, zero-drama cutovers.
Scalability
Autoscaling and load testing so the system holds from the first call to peak volume without re-architecting.
Security & compliance
VPC isolation, least-privilege IAM, encryption in transit and at rest, secrets management, and audit trails.
Observability
Logs, metrics, traces, and alerting wired in from day one — so you see issues before your customers do.
IaC & CI/CD
Terraform and CI/CD pipelines so every change is reviewed, repeatable, and reversible.
From the first call to the millionth.
We architect for the volume you'll have, not just the volume you have today. Autoscaling compute, queue-backed workloads, and load testing mean traffic spikes are a non-event — no late-night re-architecture required.
Ready to deploy in your cloud?
Bring us your GCP or AWS accounts — or none at all — and we'll design the architecture, migrate what exists, and ship it to production.