Digital employees that work 24/7 at a fraction of a salary — handling ops, coding, sales and finance. Your team stays small. Your output doesn't.
TECHNOLOGY STACK
Python frameworks like pydantic-ai and LangChain for building type-safe, production-grade agents with structured outputs, validation, and tool-calling over MCP connections.
Deep reasoning, code generation, and long-context analysis for complex engineering and business tasks.
Versatile language model for drafting, summarising, customer communication, and rapid prototyping.
Multi-model routing — we select the best LLM for each task, optimising cost and capability per job.
Open-source workflow automation connecting your tools, databases, and APIs into seamless agent pipelines.
Containerised deployments — every agent, model, and service runs in an isolated, reproducible Docker container for consistent staging and production environments.
Open-weight LLM family with strong multilingual and coding capabilities — we self-host Qwen models in Docker for cost-effective, private inference with no per-token API fees.
Code-specialised model for generating, refactoring, and debugging production code across languages — powers our autonomous coding agents and PR review pipelines.
Battle-tested open-source relational database — the backbone for agent memory, audit trails, CRM data, and transactional records. ACID-compliant, JSON-native, and scales from prototype to enterprise.
It's not just chatbots. We build layered agent architectures that think, act, and collaborate autonomously.
We connect large language models to autonomous agents that can take actions, not just generate text. Each agent has a role, tools, and permissions.
Standardised connections between LLMs and your data sources, tools, and APIs — agents can read your CRM, write to your ERP, and query your databases.
Individual agent workers, each specialised for a task — coding, reviewing, scheduling, reporting — connected into workflow pipelines.
Hierarchical agent architecture: manager agents delegate to worker agents, review their output, and escalate to humans only when needed.
CASE STUDY // REAL DEPLOYMENT
A UK SME with just 4 human employees — backed by an AI workforce of 30 digital workers handling ops, coding, project management, QA and communications. Running 24/7, alongside the human team.
Handle scheduling, email triage, document drafting, and meeting preparation
Coordinate other agents, prioritise tasks, escalate issues to humans
Write, test, and debug code; handle bug fixes and feature development
Track timelines, manage tickets, send status updates, flag risks early
Review agent output, pass or fail work, request revisions automatically
Text, email, and call physical employees with successes and problems
Autonomous, collaborative, and always on.
Agents communicate via structured protocols — assigning tasks, sharing context, and requesting reviews in real-time.
Quality reviewer agents evaluate work against criteria. Passed work moves forward. Failed work goes back for revision.
When something needs a human — a success, a problem, a decision — agents reach out via SMS, email, or phone call.
AI employees don't sleep, don't take holidays, and don't call in sick. Work continues around the clock.
ORGANISATIONAL STRUCTURE
A complete org chart across operations, goods-in, dispatch, sales, marketing, engineering and finance. Human directors in orange. AI agents in cyan — each a digital worker, running 24/7.
INTERACTIVE METRICS
Slide through each stage to see how productivity, output, and cost change as you add AI employees to your team.
Total Workforce
4
Productivity
100%
Output
100%
Monthly Cost
£20,000
Your current team — capable but limited by hours and capacity.
THE BOTTOM LINE
8.5×
Productivity
Higher output with the same headcount
−90%
Cost per Task
Fraction of a human salary per AI employee
24/7
Availability
No holidays, no sick days, no overtime
Instant
Scalability
Add new AI employees in hours, not months
You don't need 30 people to compete with the big players. You need 4 great people and the right AI workforce. That's what we build.
Tell us about your operation, your challenge, or your project. We respond to every enquiry personally — typically within one working day.