Case studies
What’s already running.
Two companies, two industries. The same method: understand the operations, build with AI and leave it in production.
Jewelry · RetailStores, web and WhatsApp running as one business.
1inventory for physical stores and web
WhatsAppleads qualified and followed up automatically
Every channelmeasured by conversion
The challenge
Store and web inventory didn’t match, cash closings were checked by hand, WhatsApp leads were lost without follow-up and the website didn’t convert. No one knew why.
What we built
- Smart inventoryAI-synced across physical stores and the online store.
- Smart cash closingFlags cash shortages and errors automatically.
- Automated WhatsAppQualifies every lead and keeps it tracked and followed up.
- Customer intelligenceAI analysis on their historical database to understand their customers.
- Conversion trackingWhich channels and which pages sell the most, backed by data.
Education · EdTechAI that teaches, builds courses and tests its own system.
−85 %bugs in production
Adaptivelearning in real time
E2Etests run by agents
The challenge
Teachers lacked a clear view of student progress, designing a course took weeks and bugs kept reaching users.
What we built
- Natural-language reportsTeachers ask and understand everything they need to know about their class.
- Adaptive learningDetects each student’s weak spots and reinforces learning on the fly.
- Agent pipeline for coursesAgents specialized in pedagogy and structure design complete, coherent courses.
- Agent-driven QAAutomated end-to-end tests that run before every release.
- Error trackingFaster detection and response to any system failure.
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