9 April 2026

Hamish is Live

Today we launched Hamish AI Studio: AI-powered app development on a real, portable stack. It has been a long road to get here, and this post covers why we built it, how it works, and where we go next.

Why we built it

We founded Hamish AI in 2025 with a simple thesis: AI should make people more capable, not more dependent. The gap between an impressive AI demo and a useful tool is enormous. Founders can generate code in seconds but cannot deploy it, connect it to real data, or get support when something breaks. We set out to close that gap.

How Studio works

Studio is the result. Describe what you want to build, and Hamish builds it: React, Tailwind, production-ready code you own and can export. This is not generated scaffolding or a prototype. Apps built on Hamish connect to real APIs, authenticate real users, persist real data, and deploy to real URLs.

What makes Studio different is the stack underneath. Every app runs on portable, standard technology. There is no proprietary runtime, no vendor lock-in, no hidden costs. You can export your code at any time and deploy it anywhere. We believe that is how developer tools should work.

Transparent, token-based pricing

Pricing is transparent and token-based. You see the cost before you pay it. Free accounts include 20 Build tokens and 10 AI tokens every month, with no credit card required. Studio paid plans start at €25 per month (Starter), and top-up tokens never expire. No credit traps, no surprise overages.

Backed by Hamish AI Production

Studio is backed by Hamish AI Production: managed infrastructure with real engineering support. When an app outgrows its development environment, Production provides dedicated hosting, monitoring, and incident response from engineers who understand the codebase, because AI built it. Production starts at €399 per month and scales with you.

Our own training pipeline

Behind both products is something we are particularly excited about: our own training pipeline. Every interaction across Studio generates data that will fine-tune Hamish LLM, a model trained specifically on how people build and ship applications. A domain-specific model outperforms a general-purpose one on domain-specific tasks, at a fraction of the inference cost. The model improves with every app built on the platform.

European by default

All of this runs on EU-hosted infrastructure, with data sovereignty as a default rather than a premium feature. Your code, your data, your choice.

We are a UK-founded, European-infrastructure company building applied AI that ships.