Put AI to work in your business, properly.
Beyond the hype, AI is genuinely useful when it's built around your data, your workflows and your customers. We design, build and deploy custom AI assistants, RAG systems and automations — and we train our own models too: computer vision, motion analysis and prediction, running in the cloud or right on the device.
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Chat with your own data.
RAG (Retrieval-Augmented Generation) is the technique behind genuinely useful business AI. Instead of relying on what an LLM happened to learn from the public internet, RAG looks up answers from your documents, databases and systems first, then uses an AI model to phrase the answer naturally and accurately.
The result: an assistant that knows your products, your policies and your data, and can cite where its answers came from.
Index your sources
Documents, databases and systems are converted into searchable AI-friendly chunks (embeddings) and stored securely.
Find what's relevant
When a question comes in, the system retrieves the most relevant chunks from your data. Fast, semantic search.
Generate the answer
An LLM (OpenAI, Anthropic or Azure OpenAI) writes a natural answer using only those retrieved sources, with citations.
Practical AI, built for your business.
Practical AI integrations focused on saving you time, money and headaches.
Document & knowledge assistants
A private chatbot that answers questions from your manuals, contracts, policies and SharePoint, with citations.
Customer-service bots
Embedded on your website or app, handling FAQs, qualifying leads and escalating real issues to a human.
Document processing
Pull structured data out of invoices, forms and PDFs automatically, straight into your systems.
Semantic search
Search your data by meaning, not keywords, so users find what they need even when they don't know the right words.
AI agents & workflows
Multi-step automations that read, decide and act, handling triage, drafting and routing across your tools.
AI-assisted analytics
Ask plain-English questions of your data and get charts and answers in return. No SQL required.
Computer vision
Camera-based intelligence: track movement, count actions, detect objects and poses — in real time, on-device, with models we train for your exact problem.
Sensor & wearable ML
Turn raw accelerometer, GPS and heart-rate streams into meaningful events — activity detection, movement analysis and metrics running live on watches and phones.
On-device AI
Models that run entirely on the user's device: private by design, works offline, zero inference costs and millisecond latency.
Models we've trained and shipped.
Anyone can call an API. We also build the models themselves — trained on real data, validated against test benches, and deployed to production on real users' devices.
A camera that counts your burpees
For Busy Dad Training we built an exercise rep counter that watches the user through their phone camera. A pose-estimation network tracks 33 body landmarks at 30 frames per second, and a movement-phase classifier we trained ourselves recognises each stage of the exercise — standing, squat, push-up — and counts reps with grammar rules that reject cheating reps. It runs entirely on the phone: private, offline-capable, and validated bit-for-bit against our training bench.
A watch that measures airtime
For Huck we built a motion-analysis pipeline that detects mountain-bike jumps from a smartwatch's accelerometer — recognising freefall and landing signatures at 25 Hz to measure airtime, jump height and landing G-force in real time, on the wrist. The same algorithms split a bike-park day into runs automatically from elevation and speed data, with a golden-file test suite guarding accuracy.
From idea to production.
Discovery
We sit down with you to understand the problem, the data and the users. No tech-speak, just what you actually need.
Proof of concept
A small, working prototype on real data, usually within 2–3 weeks, so you can see the AI in action before committing to more.
Build & integrate
We connect it to your real systems, add authentication, polish the UX and make it production-ready.
Deploy & host
Deployed to Azure (or your preferred cloud) with monitoring, backups and SSL. Or we host it for you on a flat monthly fee.
Iterate & improve
Once it's live, we measure how it's performing and keep tuning, adding features, refining prompts and growing with you.
Your data stays yours.
We default to enterprise-grade options like Azure OpenAI. Your prompts and data aren't used for training and stay within your tenant. For sensitive workloads, we can run open models on private infrastructure. We'll always be upfront about where your data goes and why.
Curious what AI could do for you?
A free 30-minute chat is the best way to find out. We'll be straight with you about what's worth building and what isn't.