AI AGENTS · RAG · PRIVATE LLM · FULL-STACK
Built for work that can’t go wrong.
A founder-led studio building AI systems for organisations where a wrong answer has consequences.
Sometimes that means a regulated environment. Sometimes it just means a system real customers depend on every day. The bar is the same.
Most AI projects work in a demo and fall apart in production.
The gap is rarely the model. It’s retrieval that can’t say "I don’t know," data that isn’t allowed to leave the building, and a system nobody expected to get real traffic.
That gap is where we work.
Services
AI agents and workflow automation. RAG and knowledge assistants over private documents. Private and on-premise LLM deployment. AI product development. Web and mobile applications. Cloud, DevOps and infrastructure. Generative media systems. Technical audits.
- AI Agents & AutomationAgents that do, not just answer.
- RAG & Knowledge AssistantsAnswers you can trace to a source.
- Private & On-Premise AIYour data never leaves the building.
- AI Product DevelopmentAI products that survive real users.
- Generative Media SystemsImage, video, music, voice.
- Web Application DevelopmentSoftware built to be maintained.
- Mobile Application DevelopmentNative or cross-platform, whichever fits.
- Cloud, DevOps & InfrastructureDeployed, watched, and backed up.
- AI Consulting & Technical AuditsA second opinion before you commit.
- Maintenance & Support RetainersStill here after launch.
Selected work
Federal regulatory filings, generated on the client's own hardware
Mistral and Llama served inside a US healthcare provider's network behind an ASP.NET Core backend. Patient data never left their infrastructure.
A patient-facing RAG chatbot that books, charges and routes
Production system for a US healthcare team. Answers grounded in their own documents with traceable retrieval, and it escalates to a person before anything clinical.
Motivia — generative media platform, live in production
Seven generation types, GPU inference behind a queue with retry, server-side video compositing. Built and running with paying subscribers.
We actually run the models.
One thing that separates us from most of the field is that we actually run the models. Mistral, Llama, Qwen, GLM, on hardware we control, benchmarking one variable at a time until we understand why a configuration works. Most teams call an API and outsource that part entirely.
It’s also why we can tell you honestly whether self-hosting is worth it for you, because plenty of the time it isn’t.
If a hosted API or an off-the-shelf tool is the right answer, we’ll say so. We’d rather lose a project than build something expensive that a subscription would have handled.