Flagship

AI Agents & Automation

Containerised Python agents on AWS ECS Fargate, exposed through a custom Model Context Protocol server so your existing tools can call them natively. Plus website agents that qualify leads and book appointments while you sleep.

ECS Fargate MCP Bedrock Python CodeDeploy
24/7Agent availability
<2sTypical invocation

We build production AI systems, not demos.

The pattern we keep coming back to: Python agents packaged as containers and run as tasks on ECS Fargate, with a purpose-built MCP server in front of them so the rest of your stack can invoke an agent the same way it would call any other function. IAM is scoped per agent, CloudWatch records every invocation, and deployment runs from GitHub through CodeDeploy straight into Fargate.

The same architecture powers the booking and qualification agents we embed directly into client websites — the visitor gets an answer at two in the morning, and you get a qualified lead in your inbox instead of a missed call.

  • AI pipelines on AWS ECS Fargate
  • Custom MCP servers for tool access
  • Website booking and qualification agents
  • PowerShell and Bash automation
  • CI/CD from GitHub into Fargate
Scoping a project? Start here.