AI Development for
Consumer mobile.
Consumer mobile is a retention game. Anything that increases minutes-per-session by 10% is worth more than 10 new features. Vedwix builds ai development for Consumer mobile companies — with the compliance posture, KPI awareness, and operational shape your category demands.
Brief us on AI workWhat we know about Consumer mobile.
- App store rules
- COPPA
- GDPR
- CCPA
- D1 / D7 retention
- ARPDAU
- Organic install rate
- Acquisition costs
- Store-policy variance
- Engagement plateau
Three use cases we ship.
On-device AI for personalization
We build AI features that ship to real users — not demos. For consumer-mobile, that means designing for App store rules, measuring against D1 / D7 retention, and avoiding the acquisition costs that plague the category.
Push optimization
We build AI features that ship to real users — not demos. For consumer-mobile, that means designing for App store rules, measuring against D1 / D7 retention, and avoiding the acquisition costs that plague the category.
Content moderation at scale
We build AI features that ship to real users — not demos. For consumer-mobile, that means designing for App store rules, measuring against D1 / D7 retention, and avoiding the acquisition costs that plague the category.
AI Development,
consumer-mobile-aware.
We don't pretend every project is the same. Consumer mobile has its own compliance, KPIs, and unwritten rules. We bring those in from day one.
Start a projectWhat you get.
- RAG system with hybrid search
- Eval harness + observability
- Agent orchestration
- Fine-tuning + serving
- Internal AI tooling
We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.
Examples of Consumer mobile companies in this space: Calm, Headspace, Reddit.