Case studies
The decisions, not just the screenshots.
Written for engineers and technical founders. Each one covers the actual problem, the architecture we chose, what we got wrong, and what we would do again.
A pan-India, voice-first agricultural advisor serving farmers in eight Indian languages plus English — with no state-specific or language-specific branches anywhere in the codebase.
Agricultural advice is only useful if it is locally correct. Soil, rainfall, crop calendars, mandi behaviour, festivals and language all change across district lines, and a recommendation that is right in Nashik can be actively harmful in Ballia.
Read the full case studyHighlights
- Nine languages, one codebase, zero branches
- Notification discipline as an engineering problem
- Retrieval that works across nine languages
An AI interior visualisation product where the differentiator is not the model — it is the cultural rule engine wrapped around it.
AI image generation for interiors is close to a commodity. Anyone can call an image model. The interesting problem is that the output has to be culturally correct for a market the models were not trained to serve well, and it has to be cheap enough that an individual buyer will pay for it out of pocket.
Read the full case studyHighlights
- Deterministic culture, probabilistic pixels
- Local development with zero API keys
- No GPU fleet
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