Businesses using AI face model drift as their data changes. A service that incrementally retrains models on new data could maintain accuracy.
Offer version control and drift detection. Charge based on compute usage.
Start with support for one model architecture. Expand based on demand.
Risk: Requires significant infrastructure investment.