AI automation

AI that runs in production, not just in a demo.

From LLM integrations to fully autonomous multi-agent systems that run without babysitting, built end-to-end and deployed to your own infrastructure. You own every model, key, and pipeline. Serving clients in the US, UK, and Europe.

Get a free prototype See AI work

Production-ready You own the models & keys Free prototype first

Runs without babysittingAgents built with retries, guardrails, and observability — not demo scripts.

Your keys, your infraDeployed to your accounts. You own every model, prompt, and credential.

Model-agnostic by designSwap Claude, GPT, or an open model without rewriting the system.

What's included

Everything the build needs, in scope

LLM integrations (Claude, OpenAI, Groq)
Autonomous multi-agent systems
Real-time voice AI pipelines
Document OCR and extraction
Lead generation automation
RAG systems and knowledge bases
AI copilots for business workflows
LangGraph orchestration systems

Tech stack

Boring, proven, and yours to keep

No exotic dependencies you'll struggle to hire for. Every choice below is one your next engineer will already know.

Orchestration

LangGraphLangChain

LLM APIs

Claude APIOpenAIGroqReplicate

Voice / OCR

WhisperEdge TTSDocument AI

Backend

FastAPIPythonWebSocketsPlaywright

Example work

Shipped, in production

See all work

LiveUS

CuePilot

For Alex (LeoTech)

Real-time voice AI for customer support teams. Listens to live calls, transcribes with Whisper, and surfaces optimal response suggestions — so agents handle complex clients with confidence.

Python
FastAPI
Whisper
OpenAI
+2

< 200ms latency
Real-time pipeline
Enterprise support

ShippedIN

Medical OCR System

Advanced OCR pipeline for a medical agency. Processes complex multi-page questionnaires and deep medical forms with structured JSON output and validation layers.

Python
Document AI
OCR
FastAPI
+1

Medical-grade accuracy
Complex form processing
Structured output

ShippedUnited Kingdom

AI Lead Generation Agent

For Jodie Wayatt

Fully autonomous lead generation and outreach agent. Identifies prospects from target websites, generates personalized proposals via LLM, and delivers them — zero human touch.

Python
LangGraph
OpenAI
Web Scraping
+2

Zero human touch
Personalized at scale
End-to-end automation

Read the case studies

Questions

Answered before you ask

What kind of AI solutions do you build?

LLM-powered applications, autonomous agents, real-time voice AI, document OCR and extraction, lead generation automation, and custom AI copilots for business workflows.

How much does an AI project cost?

There is no rate card, because a rate card prices a guess. We agree the scope in writing first, then give one fixed quote against it — and that quote comes after you have seen a free prototype, so it is priced against something real. Model and API usage is separate and stays yours: the keys sit on your accounts and you pay the provider directly, so there is no markup from us on tokens. What moves the build quote is the number of workflows, how many systems it has to integrate with, and whether the output needs a human-review step before it acts.

Do you deploy the AI system, and who owns it?

We deliver end-to-end and deploy to your own infrastructure and accounts (any platform you prefer), so it runs in production and stays fully yours. You own all code, prompts, and credentials from day one — no lock-in.

Do you work with OpenAI, Claude, or other LLMs?

Yes. We work with Claude (Anthropic), OpenAI, Groq, and open-source models, and we build model-agnostically so the choice can change later without a rewrite. We recommend one based on your cost, latency, and quality requirements rather than on a house preference — and because the keys are yours, you can switch provider without asking us.

Can you build agents that run autonomously without human input?

Yes. We've built fully autonomous multi-step agents using LangGraph — from lead generation to security scanning to trading systems.

How long does an AI project take?

Weeks rather than months. A single well-scoped agent or integration — one workflow, one set of data sources — is typically a few weeks. Multi-agent systems, real-time voice pipelines with latency targets, and anything needing an evaluation harness before it can be trusted in production run longer. The biggest variable is usually data access: how clean your sources are and how quickly credentials for them can be arranged. The specific timeline is agreed in writing alongside the fixed quote, before any work starts.

Questions about NDAs, invoicing currency, working with clients in the US and UK, or what happens after handover? Those are answered on the full FAQ.