Hearth
Case study
The home management system that thinks ahead
Hearth connects your shopping list, bills, calendar, and household routines in one place — and uses that combined context to surface recommendations you would actually act on.
AI applications built for the real world.
We are Lunor — a development studio that builds AI-powered products for everyday use cases. Not because AI is trendy, but because it is genuinely the right tool for the right problem.
Going one step further than the obvious AI implementation
We believe the best AI applications are not the ones that wrap a model in a UI. They are the ones that identify the right problem, apply intelligence at exactly the right moment, and genuinely make life easier.
Groundwork
Case study
Practice the conversations that matter before they happen
Groundwork is an AI-powered conversation practice platform where you rehearse job interviews, performance reviews, presentations, and difficult workplace conversations with realistic AI personas.
Podium
Case study
Finding the right sponsors — and becoming worth finding
Podium is an AI-powered sponsorship discovery tool that matches clubs and athletes with sponsors who actually fit, and tells you exactly what to do to close that gap.
What we do - We build AI products that people actually use.
We identify the right problem, apply AI at exactly the right moment, and ship applications that genuinely make things better — not just more impressive in a demo.
- Use case identification. Before we write a line of code, we make sure there is a genuine problem worth solving. AI should do something that is otherwise hard to do — not just add intelligence for the sake of it.
- AI application development. We build production-grade AI applications from the ground up — model selection, data pipelines, APIs, and the interfaces that make it all feel seamless.
- Product design. Good AI needs good UX. We design applications where the intelligence stays out of the way until you need it, and then it is exactly where you expect it.
- Integration & iteration. Shipping is just the beginning. We instrument, measure, and iterate post-launch to make sure the AI is actually doing what it should in the real world.
Have something interesting in mind?
We don't take general consulting work — but if you've spotted a use case for AI that nobody has tackled the right way yet, we want to hear about it.