● A working prototype that isn’t production-ready
● Founders spending runway on senior US salaries for standard engineering
● No front-end, billing or admin around the core model
● A launch with no SEO, content or funnel behind it
● LLM applications with OpenAI, Claude, Gemini and open-source models
● RAG pipelines, vector search and evaluation
● SaaS scaffolding: auth, billing, multi-tenancy, admin, analytics
● Web (React/Next.js) and mobile (Flutter) front-ends
● Launch websites, SEO, content and paid acquisition
● Your product is the AI use case; we build the software around it
● Evaluation harnesses and monitoring for model quality
● Cost optimisation across models and caching
● Agent and tool-use architectures
[what was built, time to launch, result]
