- Insurance Executives: Get instant portfolio benchmarks and strategic alerts to cut losses and boost profitability.
- Underwriters & Actuaries: Build and compare custom AI risk models in hours instead of months.
- Data Analysts: Clean messy datasets and enrich with alternative data for deeper risk insights effortlessly.
- Pricing Specialists: Apply precise adjustment coefficients to refine models and avoid mispricing.
- Risk Managers: Validate data against millions of policies and generate automated recommendations.
How to Use K2G.ai?
- Upload Datasets: Load your CSV or XLSX policy data seamlessly into the platform.
- Clean and Validate: Apply built-in rules from 30M+ policies or create custom ones for preparation.
- Enrich Data: Select from hundreds of parameters like weather, geo, and third-party sources.
- Generate and Benchmark: AI creates 10 best-fit models, compares them, and flags issues with alerts.
- Rapid Model Generation: Builds 10 optimized AI models instantly from your data for quick insights.
- Massive Data Validation: Uses rules from over 30 million policies for reliable cleaning.
- Extensive Enrichment: Hundreds of regional parameters from K2G and trusted partners.
- Price Adjustment Focus: Delivers coefficients to enhance existing pricing, not replace it.
- Real-Time Alerts: Instant notifications and actions for mispriced risks and decisions.
- Cuts model development from months to hours with simple uploads and AI magic.
- Enriches data with tons of alternative sources for smarter risk spotting.
- Benchmarks your models against AI ones and sends alerts to fix issues fast.
- Tailored for insurance roles, making underwriters and execs way more efficient.
- Relies on your data quality upfront, so messy inputs need extra cleaning time.
- No direct pricing, just coefficients, which might confuse teams wanting full overhauls.
- Limited to insurance focus, less flexible for other industries right now.
- Requires learning custom rules for best results, not fully plug-and-play.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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