Infrastructure your AI can rely on.
Agents are only as good as the platform they run on. We set up secure, observable and cost conscious infrastructure on AWS and Azure, from containers and CI/CD to real time streaming and monitoring.
The problems we’re usually brought in to solve.
Unreliable deployments
Releases are manual, risky and slow.
No visibility
You hear about failures and cost spikes from customers or invoices.
Data that arrives too late
Batch jobs cannot keep up with real time operations.
Capabilities, ready to put to work.
Cloud architecture
AWS and Azure environments designed for security, isolation and growth.
Containers & Kubernetes
Docker and Kubernetes for repeatable, scalable services.
CI/CD pipelines
Automated testing and deployment from commit to production.
Streaming data
Kafka pipelines for real time signals, events and agent triggers.
Observability
Dashboards and alerts for health, latency, quality and spend.
AIOps
Agents that detect anomalies and support automated diagnosis.
Where we’ve done this before.
How a project with us runs.
Discovery call
30 minutes to map one workflow, the data behind it and what success looks like.
Working prototype
Within weeks, not quarters: a clickable prototype running on your real use case and data.
Build in sprints
Short cycles with working software at every step, with security and approvals built in.
Run & improve
We deploy, monitor and keep improving the system, or hand it over cleanly to your team.
Good questions.
A chatbot answers questions. An agentic system takes action: it reads documents, uses your tools and databases, makes decisions within rules you set, and passes work between specialised agents. Think of it as a digital team that completes a whole workflow, with people approving the steps that matter.
Pick one workflow. See a working prototype.
Book a 30 minute call. We’ll map one process, show you what an agent could take off your team’s plate, and send you a written plan. No obligation.