AI Development for
Sports-tech.
Sports software is real-time, license-heavy, and fan-emotional. AI is now table stakes for highlights, predictions, and personalization. Vedwix builds ai development for Sports-tech companies — with the compliance posture, KPI awareness, and operational shape your category demands.
Brief us on AI workWhat we know about Sports-tech.
- GDPR
- Local betting law
- Health data rules
- Engagement minutes
- Bet-to-watch ratio
- In-game retention
- Rights complexity
- Data fragmentation across leagues
- Real-time latency budgets
Three use cases we ship.
AI commentary and highlights
We build AI features that ship to real users — not demos. For sports, that means designing for GDPR, measuring against Engagement minutes, and avoiding the rights complexity that plague the category.
Personalized fan apps
We build AI features that ship to real users — not demos. For sports, that means designing for GDPR, measuring against Engagement minutes, and avoiding the rights complexity that plague the category.
Performance analytics for athletes
We build AI features that ship to real users — not demos. For sports, that means designing for GDPR, measuring against Engagement minutes, and avoiding the rights complexity that plague the category.
AI Development,
sports-aware.
We don't pretend every project is the same. Sports-tech 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 Sports-tech companies in this space: DraftKings, WHOOP, StatsBomb.