Custom AI agents
Agents built for one clear job, such as answering, researching, drafting or checking, and tuned on your real examples.
AI agent development for real business work.
We design and build custom AI agents and multi-agent systems that understand a request, plan the steps, use your tools and data, and check their own work before they respond.
What we build
Agentic AI, built around your workflows.
From a single focused agent to a coordinated team of specialists, every agent we build is designed for a clear job and measured against real cases.
Multi-agent systems
Specialised agents that plan, delegate and review each other’s work, orchestrated with LangChain.
Tool & API integration
Agents that call your systems, databases and APIs to look things up and get work done.
Agentic RAG
Agents that retrieve the right context from your documents before they answer, so responses stay grounded.
Human in the loop
Clear hand-offs so people approve the decisions that matter and agents escalate when they’re unsure.
Launch, refine & support
We keep improving agents after launch, so they keep pace with your business.
Anatomy of an agent
Every agent runs the same disciplined loop.
Every agent follows the same steps, so its work is predictable, easy to check and easy to trust.
-
01
Understand
Read the request and work out what’s really being asked.
-
02
Retrieve
Pull the right context from your documents and data with RAG.
-
03
Plan
Break the task into steps and choose the tools and agents for each.
-
04
Act
Call your systems, APIs and other agents to get the work done.
-
05
Verify
Check the result against sources, and hand off to a person when unsure.
Client work
See it in production.
Use cases & technology
Where AI agents fit.
Use cases
Customer support agentsPolicy & document Q&ARecruitment screeningCandidate matchingInternal knowledge assistantsResearch & summaries
Agent frameworks
LangChainAgentic AIMulti-Agent OrchestrationLLMsTool calling
Data & delivery
RAGEmbeddingsVector DatabasesPythonFastAPIReact
FAQ
Frequently asked questions.
What is an AI agent?
An AI agent is software built around a large language model (LLM) that works towards a goal. It reads a request, decides which steps to take, uses tools such as search, databases or APIs, and checks its result before responding. Unlike a simple chatbot, an agent can take actions, not just reply.
What is a multi-agent system?
A multi-agent system splits a complex task between several specialised AI agents, for example one that retrieves information, one that analyses it and one that writes the answer, coordinated by an orchestrator. Splitting the work this way makes complex tasks more reliable and easier to test.
Can AI agents work with our existing systems?
Yes. We build agents that connect to the tools you already use through APIs, and deliver them through web apps and services such as FastAPI, so they fit into the way your team already works.
How do you keep AI agents accurate?
We ground agents in your own documents and data with retrieval-augmented generation (RAG), have them show their sources, add checks before an answer is returned, and route uncertain cases to a person.
Put an AI agent to work in your business.
Tell us about the task you want an agent to handle, and let’s explore what’s possible.