AI Training · AI Development · AI Consultancy
Practical AI for Small Businesses and Schools
We train your people on the AI tools that matter, help you choose the right LLM at the right cost, and build production systems like RAG and Graph AI on your own data. Then we stay on site with your team until it is genuinely working.
Vendor-neutral advice
We recommend the model that fits your budget — not the one that pays us. We work with OpenAI, Anthropic, Google, Meta, Mistral and open-source models.
3
Service lines — Train · Build · Consult
1–2 weeks
To your first working AI prototype
30–60%
Typical LLM running-cost reduction after optimisation
What We Do
Three Ways We Get You to Real AI Results
Most organisations don’t need another strategy deck. They need trained staff, one system that works, and someone who knows what to do next.
AI Training for SMEs & Schools
Hands-on workshops and staff programmes covering today’s AI tools, prompt and workflow design, LLM selection, and how to keep usage both cost-effective and safe. Delivered on site or online, for teams of 5 to 500.
AI Project Development
We design and build the systems that do the work: RAG assistants over your own documents, Graph AI and knowledge-graph reasoning, task agents, and API integrations into the tools your team already uses every day.
AI Consultancy & Forward Deployed Engineering
We embed with your team like a forward deployed engineer — mapping your current workflows, finding the highest-value AI opportunities, and rebuilding those processes to be AI-enabled from the ground up.
Choose the Right LLM
The Right Model at the Right Price — Every Time
Model choice is where AI budgets quietly disappear. A frontier model is usually overkill for summarising a document, and a small open-source model can often do the same job for a fraction of the cost.
We benchmark your real tasks across leading and open-source models, then build a routing layer so every request goes to the cheapest model that still clears your quality bar. We cut spend further with caching, prompt compression, retrieval instead of oversized context windows, and fine-tuning only where it genuinely pays for itself.
- Model benchmarking on your own tasks and documents
- Cost-per-task modelling before you commit to anything
- Smart routing across frontier, mid-tier and local models
- Caching, prompt compression and context trimming
- Self-hosting and on-premise options when data cannot leave your premises
RAG & Graph AI
AI That Answers From Your Own Knowledge, Not the Internet
Generic chatbots guess. Systems built on your own data don’t. We build retrieval-augmented generation (RAG) pipelines that ground every answer in your policies, manuals, contracts, lesson plans or case files — with citations your staff can check.
When your knowledge is connected rather than scattered — who reports to whom, which part fits which machine, which module comes before which — we build Graph AI and knowledge-graph systems that reason across those relationships instead of guessing at them.
- Document ingestion, chunking and embedding pipelines
- Vector search combined with hybrid keyword retrieval
- Knowledge graphs for connected, relationship-based reasoning
- Answer citations and confidence scoring
- Role-based access control, so people only see what they’re allowed to see
- Runs in your cloud or ours, on your data rules
Who We Work With
Built for the Organisations That Actually Need It
We work with the teams who don’t have a forty-person AI department — and still need results.
Small & Medium Businesses
Ten to five hundred staff. We cut the admin, speed up quoting, drafting and reporting, and train your team so the gains hold long after we’ve gone.
Schools & Education
Teacher workload reduction, AI literacy programmes for staff and students, lesson-planning and marking assistants — plus a clear acceptable-use and data-protection policy that parents, staff and your board can all stand behind.
Professional & Regulated Teams
Legal, accounting, healthcare and finance teams working with confidential data, who need audit trails, role-based access, and answers they can trace back to the original source.
How We Work
From First Call to Working System
No sixty-page strategy documents. A clear path from where you are now to something your team genuinely uses.
1
Discover — AI Readiness Review
A short, structured look at your workflows, your data and your people. We identify where AI genuinely saves time or money — and where it doesn’t. You get a prioritised shortlist and a realistic cost picture, whether or not you go on to work with us.
2
Build — Pilot in Weeks, Not Quarters
We take one high-value use case end to end: a RAG assistant, a graph-backed search, an agent, or an automated workflow. Real data, real users, measured against a baseline we agreed with you at the start.
3
Embed — Train, Hand Over, Support
Your staff are trained on the new system, everything is documented, and we hand over the keys. Ongoing support and a quarterly review keep the system current as models and prices shift — which they do, constantly.
Insights
Practical AI Notes
Plain-English writing on what works, what it costs, and what to ignore.
Start Here
Ready to Make AI Useful in Your Organisation?
Start with a free 30-minute AI readiness call. Bring one workflow you’d like to improve. We’ll tell you honestly whether AI is the right answer, what it would take, and roughly what it would cost.