Services

Everything between the idea and the SLA.

Six ways to engage and nineteen hands-on capabilities, from agents and MCP servers to fine-tuning, voice and EU AI Act readiness.

01 · Services

Pick one, or combine them.

Click a service to see what it covers, related capabilities and example use cases.

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AI Strategy & Use-Case Discovery

Find the use cases with real ROI, estimate cost and risk, and build a roadmap leadership can sign off on.

  • Opportunity mapping
  • Build vs. buy analysis
  • Business case & roadmap
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AI Solution Architecture

Reference architectures for LLM apps, agents and ML platforms that fit your cloud, data and security constraints.

  • Target architecture & ADRs
  • Model & vendor selection
  • Architecture reviews
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LLM, RAG & Agent Engineering

Hands-on delivery of copilots, assistants, document intelligence and agentic workflows, with evaluation built in.

  • Retrieval & knowledge pipelines
  • Tool-using agents
  • Eval harnesses & guardrails
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MLOps & LLMOps Platforms

The plumbing that makes AI boring in the best way: deployment, monitoring, cost control and fast iteration.

  • CI/CD for models & prompts
  • Observability & tracing
  • Inference cost optimisation
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AI Governance & Security

Ship responsibly. Practical controls for privacy, safety and compliance, including EU AI Act readiness.

  • Risk classification
  • Prompt-injection & data-leak testing
  • Policies & model documentation
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Senior AI Engineers on Demand

Add experienced AI engineers and architects to your team, full-time or part-time, remote or hybrid, B2B-friendly.

  • AI / ML engineers
  • Data & platform engineers
  • Fractional AI architect
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02 · Capabilities

The full modern AI stack, hands-on.

Pick an area to see typical use cases, what we deliver and the tools we use.

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AI Agents & Agentic Workflows

Agents that plan, call tools and finish real work, safely.

We design single- and multi-agent systems that take actions in your tools: triaging tickets, reconciling data, drafting and filing documents, running research. Every agent ships with clear permissions, human-in-the-loop checkpoints and an evaluation suite.

Typical use cases

Challenge. Tier-1 tickets pile up and agents copy-paste between CRM, billing and knowledge base.

What we build. A tool-using agent that reads the ticket, looks up the account, drafts or executes the fix (refund, reset, update) within policy limits and escalates the rest with a summary.

Challenge. Invoice matching, order exceptions and data corrections eat analyst hours.

What we build. A workflow agent that reconciles records across ERP and email, proposes corrections and routes approvals, with a full audit log of every action.

Challenge. Analysts spend days gathering sources before any real thinking starts.

What we build. A multi-step research agent that searches internal and web sources, cites everything, and produces a structured brief your team can verify in minutes.

What you get

  • Agent architecture & permission model
  • Tool / API integrations
  • Human-in-the-loop approval flows
  • Eval suite with task-success metrics

Typical stack

  • Claude / GPT / Gemini
  • LangGraph
  • OpenAI Agents SDK
  • Claude Agent SDK
  • Pydantic AI
  • Temporal
Full details 6 industry examples

Your need is not on this list, or spans several areas? Write us your case →

Next step

Let's talk about your AI system.

A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.

Book a free call Find your starting point

Keep exploring

There’s more to see.

Up next · Platforms & Cloud The heavy lifting behind AI Data & AI platforms, landing zones, accelerators and migrations between cloud AI providers. GPU Compute Your models. Your region. Your GPUs. Dedicated, in-region GPU capacity to host, fine-tune and train your own models. Research Smaller, faster, cheaper. On purpose. Distillation, small language models, speech recognition and inference optimisation. Use cases What this looks like in your industry 24 use cases across finance, healthcare, retail, manufacturing, legal and SaaS. How we work Start small. Prove value. Scale. Three engagement models, a measure-first approach and a 3-click starting-point finder.