The startup develops an AI-driven insurance platform that utilizes environmental data, historical accident data, geo-data, and telematics to assess risk for car drivers and vehicles. By providing precise claims frequency analysis and enhanced risk segmentation, the platform promotes safer driving practices and aims to reduce road accidents.
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Insurance companies face challenges in accurately assessing risk for car drivers and vehicles due to incomplete or unstructured data, leading to inaccurate pricing and increased loss ratios. Traditional methods often fail to incorporate diverse data sources like environmental factors, historical accident data, and real-time telematics, resulting in suboptimal risk segmentation. This can lead to mispriced risk, reduced profitability, and missed opportunities for safer driving incentives.
Solution
K2G offers an AI-powered portfolio management solution, K2G BOX®, that provides insurers with continuous risk assessment and automated insights to improve pricing and underwriting. The platform integrates diverse data sources, including environmental data, historical accident data, geo-data, and telematics, to deliver precise claims frequency analysis and enhanced risk segmentation. K2G BOX® enables insurers to upload existing datasets, validate and cleanse the data using pre-installed rules, and enrich it with alternative data from K2G and third-party providers. The AI analysis generates multiple best-fit models, allowing insurers to compare their existing models, identify mispriced risk, and receive automated insights for better decision-making.
Target Audience
The primary target audience includes actuaries, underwriters, and pricing teams at insurance companies and InsurTech firms seeking to improve risk assessment, optimize pricing strategies, and reduce loss ratios.
Features
- AI-driven portfolio analysis for risk-adjusted pricing at the policy level
- Data cleansing and enrichment compliant with ISO 27001 standards
- Road risk reports with traffic accident data tailored to specific regions
- Instant LTV prediction for lead qualification and personalized customer service
- API for processing new price inquiries with a stable neural network and alternative data
- Integration with Google and Facebook algorithms to optimize advertising campaigns
- Data security with ISO 27001 certification
- "Talk-to-data" feature for exploring data through plain language questions