Waffle provides early-funnel conversion indicators across personal lines without needing personally identifiable information. This innovation revolutionizes customer engagement and agent follow-up.

Case Study: Over 200% conversion improvement for one of the largest US L&H Carriers.

Waffle develops precise, early loss-ratio models using proprietary leading indicators and advanced modeling techniques.

Case Study: 10+% improvement in loss ratio for a Top 10 US P&C Carrier.

Waffle’s AI models enable efficient, real-time causal factor discovery, identifying new factor ratings, potential fraud, and improvement targets.

Case Study: Double-digit improvement in fraud detection for a Top 10 Global Carrier's Small Business Insurance.

The base model is available for auto loss prediction tasks.

In head to head trials, with only two non-PII inputs, the prediction has proven to be equal to or better than in production models.

Priced on a per API call basis with no access fees.

The model is first fine-tuned on a training dataset before providing a prediction based on the inputs provided.

Proven use cases for loss prediction, conversion, loss ratio improvement, and fraud detection.