Ship your AI product without becoming your own SRE team.
Your agent works great in a demo. Production is different — real traffic, real failures, real 3am pages. We run the infrastructure layer so your team can keep building the product instead of babysitting the stack.
Built for teams past the demo stage
- You've shipped an agent, copilot, or AI workflow and it's starting to get real usage
- You're a SaaS founder who needs production infrastructure without hiring a DevOps team
- You've outgrown a PaaS free tier or a fragile, hand-rolled VPS setup
- Your product needs background workers and queues, not just a web server
Everything between your code and a product people can rely on
Agent runtimes
Deploy tool-using agents, copilots, RAG services, and orchestration APIs with the surrounding services they need.
Managed VPS & dedicated servers
Right-sized compute on secure, high-performance infrastructure with a clear path to grow.
Data & state
Postgres, Redis, object storage, vector search, backups, and durable job state designed around your workload.
Workers & queues
Run background jobs, scheduled tasks, ingestion pipelines, webhooks, and long-running model workflows safely.
Observability
Logs, health checks, uptime signals, error visibility, and cost-aware monitoring so problems become actionable.
Security & delivery
Secrets management, isolated environments, SSL, access controls, deployment automation, and recovery planning.
Three ways to start, one team behind all of them
Every engagement is scoped and quoted around your actual traffic and stack — these are starting points, not a rigid price list.
Launch
For your first production deployment: a single right-sized managed VPS, core services like Postgres and Redis, staging and production environments, and deployment automation — enough to go live with confidence.
Scale
For products with real, growing usage: separate web, worker, and scheduler services, queues, vector search, cost-aware observability, and a clear path to scale as traffic grows.
Enterprise
For regulated or high-scale operations: dedicated infrastructure, custom compliance and data-residency requirements, multi-region delivery, and a dedicated support channel.
How it's built
- Docker-first deployments with repeatable environments
- Separate web, worker, scheduler, and data services
- Postgres, Redis, object storage, and vector database options
- Private networking, least-privilege access, and secret rotation
- Staging and production workflows with safe rollbacks
- Tracing and cost visibility for model calls and background work
What happens every time you ship
Push to deploy, not push and pray — every change moves through the same pipeline before it reaches production.
Built on tools your engineers already trust
No proprietary lock-in — a modern, open, well-documented stack you could run yourself if you ever wanted to.
From assessment to a system you can trust
Assess
Review your current setup — or lack of one — traffic patterns, and what's actually broken or missing.
Design
Map the target architecture: services, data stores, networking, and the operational guardrails your product needs.
Migrate or deploy
Move you off fragile infrastructure or deploy fresh, with staging validated before production goes live.
Support
Ongoing monitoring, incident response, and capacity planning as your usage grows.
Packages inside this service
Scoped engagements built on this capability, priced and delivered as a unit.
Frequently Asked Questions
Your prototype is ready for production?
We will map the infrastructure, deployment workflow, and operational guardrails your agentic product needs next.