Services
Cloud & Agent Infrastructure
Infrastructure for AI agents and production workloads: Docker-based provisioning, managed deployment, monitoring and cost control — the layer under every reliable agent.
For teams running AI agents or SaaS workloads that have outgrown one-off servers and surprise cloud bills.
What you get
How an engagement works
- Scoping call. You describe the bottleneck. I tell you plainly whether a system can remove it, and what it involves.
- Written plan. Scope, milestones, safeguards and the metric the system will be judged on. No surprises later.
- Production delivery. The system ships in increments against live work, with monitoring and human-approval paths from the first release.
Questions
Which clouds do you work with?
AWS, GCP, DigitalOcean and Vercel, plus bare Docker hosts where that is the economical answer. The bill and the workload decide, not brand loyalty.
Can you host our AI agents?
Yes — isolated per-customer runtimes with resource limits, logging and snapshot recovery, the same architecture H22T runs in production.
What does reliability actually mean here?
Monitoring that pages a human, snapshots that restore, rollbacks that work, and per-tenant isolation so one failure stays one failure.
One conversation beats a proposal deck.
Describe the bottleneck. You will get a straight answer on whether a system can remove it. Every message reaches me directly.
