Repredict provides life‑insurance agents with an AI‑assisted platform that instantly updates financial illustrations when variables such as premiums, timelines, or income start dates change. By combining deterministic scaling for linear adjustments with per‑user machine‑learning that learns from each agent’s illustration pairs, the software delivers scenario predictions in 15‑30 seconds along with confidence scores, enabling rapid, visual scenario analysis at the point of sale.
Funding
Funding not disclosed
Founders
Product
Problem
Insurance agents spend significant time manually adjusting financial illustrations to explore different policy scenarios, often taking 15–30 minutes per change. This slows down the sales process and limits the ability to provide clients with rapid, customized projections.
Solution
Repredict offers an AI‑assisted prediction platform that instantly updates life‑insurance illustrations when agents modify variables such as premium amounts, policy timelines, or income start dates. The system combines deterministic scaling for linear adjustments with machine‑learning models that learn from each agent’s historical illustration pairs to handle complex, non‑linear changes. Users receive a confidence score for each AI‑generated prediction, allowing them to gauge reliability. Because the platform continuously trains on new data, its accuracy improves over time for the specific products and client profiles an agency works with. The speed and visual feedback enable agents to present multiple scenarios at the point of sale, enhancing client engagement and decision‑making.
Target Audience
Primary customers are life‑insurance agents and agencies that create financial illustrations for clients and need rapid, accurate scenario analysis at the point of sale.
Features
- Per‑user machine learning that trains on before/after illustration pairs to personalize predictions
- Instant (15–30 seconds) recalculation of policy values for both linear and complex scenario changes
- Hybrid approach: precise scaling calculations for linear adjustments and AI estimation for non‑linear cases
- Confidence scoring that indicates the reliability of AI‑generated outcomes
- Patented technology that integrates directly with existing carrier illustration data
- Visual interface that allows agents to explore alternative scenarios without leaving the sales workflow