Infrastructure
Cloud platforms that are secure, observable and codified, so they're ready for humans and agents to operate.
- AWS architecture & landing zones
- Infrastructure as code with Terraform
- CI/CD, observability & reliability
Focus
Three disciplines, one stack.
Agents are only as good as the systems underneath them. We work across the whole stack, from the infrastructure up to the agent loop.
Applied AI
LLMs wired into real products and operations, grounded in your data and measured with proper evaluations.
- LLM integration & retrieval (RAG)
- Evals, guardrails & cost control
- AI-assisted operations & support
Agentic Development
Autonomous agents and AI-native engineering workflows that plan, act and hand back to humans at the right moments.
- Custom agents & MCP tool servers
- Coding agents in your SDLC
- Multi-agent orchestration
What we build
From prototype to production.
Typical engagements, scoped to ship something real in weeks.
Agentic
Agents that do real work
Purpose-built agents connected to your tools and data through MCP, with permissions, audit trails and human-in-the-loop approvals.
Engineering
AI-native dev workflows
Coding agents set up across your repos and CI: automated reviews, fixes and migrations that raise throughput without lowering the bar.
Platform
Agent-ready infrastructure
Sandboxed execution, secrets, network policy and observability, so agents can operate safely against production-grade systems.
Applied AI
LLM features with evals
Retrieval, structured extraction and copilots shipped with evaluation suites, so quality is measured rather than guessed.
Cloud
Cloud foundations
AWS environments built from code: networking, identity, pipelines and cost controls that scale with the business.
Reliability
Production rescue
Hands-on troubleshooting for critical Linux and cloud systems, plus the automation that stops the same incident from coming back.
Toolkit
The stack we work in.
// infrastructure
AWS
Linux
Terraform
Docker
GitHub Actions
CI/CD
Observability
// ai
Claude
Frontier LLM APIs
RAG & embeddings
Evals
Python
// agentic
Model Context Protocol
Agent SDKs
Claude Code
Tool use
Multi-agent workflows
Approach
Small team. Fast loops. Production standards.
01
Find the leverage
A short discovery to pinpoint where infrastructure or agents will move the needle most.
02
Prototype fast
A working slice in days, not a slide deck, so you can see it and test it against reality.
03
Harden it
Evals, guardrails, observability and infrastructure as code before anything goes live.
04
Hand over
Documented, owned by your team, and built to keep improving after we step back.
About
Built by people who've carried the pager.
Limilo is a UK consultancy rooted in years of running production infrastructure on AWS and Linux, in environments where reliability isn't optional.
Today we bring that same operational discipline to AI and agentic systems. We help teams move past demos to agents and LLM-powered features that are observable, governed and genuinely useful.
We work as an extension of your team, with no handoff theatre: just senior engineers who build, ship and explain.
Contact
Got an agent idea or an infra headache?
Tell us what you're building. We'll tell you honestly where AI and agents can help, and where they can't.