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LLM apps, agents & intelligent automation

AI Development & Automation Services

Practical AI that removes real work — LLM-powered apps, agents and automation wired into the tools your business already uses.

Production
Not just demos
Grounded
RAG on your data
Monitored
Evals & guardrails

What we do

We build AI that ships to production, not demos. That means LLM-powered features, retrieval-augmented (RAG) assistants over your own data, autonomous agents and automation pipelines that plug into your existing workflow — CRM, docs, support, reporting. We handle the unglamorous parts too: evaluation, guardrails, monitoring and cost control, so the system stays reliable after launch.

Capabilities

LLM Apps & Assistants

Chat and copilot experiences grounded in your data with RAG, so answers are accurate and cite their source.

AI Agents

Multi-step agents that take actions across tools — qualify leads, process documents, draft replies, update records.

Workflow Automation

Automate repetitive back-office work — data entry, classification, summarisation and reporting — with a human in the loop.

Custom ML

Recommendation, ranking, forecasting and computer-vision models when an off-the-shelf LLM isn't the right tool.

Data & Retrieval

Vector search, embeddings and clean data pipelines that make your knowledge base usable by AI.

Eval, Guardrails & Ops

Evaluation harnesses, safety guardrails, monitoring and cost optimisation so production AI stays trustworthy.

Tech we use

OpenAIAnthropic ClaudeLangChainVector DBsPythonRAGHugging FaceFastAPIDocker

Frequently asked questions

Can AI work on our private company data?+

Yes — using retrieval-augmented generation (RAG), the model answers from your documents and databases without that data being used to train third-party models. Access controls and citations are built in.

Which AI models do you use?+

Whatever fits the job — OpenAI, Anthropic Claude, open-source models, or a mix. We stay model-agnostic so you're never locked in and can optimise for cost and quality.

How do you keep AI reliable?+

Every system ships with an evaluation harness, guardrails, logging and monitoring, plus a human-in-the-loop for high-stakes actions. We measure quality before and after launch.

What can we realistically automate?+

Support responses, document processing, lead qualification, data extraction, summarisation and reporting are common wins. We start with a discovery call to find the highest-ROI use case.

Other things we build

Have a project in mind?

Tell us what you’re building. We’ll scope it with you and give an honest answer on timeline and cost.

Start the conversation