Do it in 3 easy steps and share with your Actuarial or Big Data team and experience an average 2% decrease in loss ratio and claim frequency (with up to a 6% decrease in loss ratio and a 9% decrease in claim frequency in selected cases) by harnessing the power of the K2G AI BOX solution!
To support insurers turning their strategy into reality, K2G cleanses and enriches anonymized policy data provided by the insurer, based on which effective ISO 27001 complaint AI models are built. Here is how it works:
The system allows you to upload CSV or XLSX files with data for modelling. The function of downloading the initial data from the database is also available on a separate request.
The user can clean his dataset using the pre-installed rules or create his own rules to prepare the dataset for modelling
There are multiple available parameters in the K2G Data Lake to enrich your datasets.
Alternative datasets depends on the region of use, original data, and your business strategy.
The system will prompt you to select one of the top 10 models with minor distribution differences.
To make your choice easier, you can compare the training and test datasets, the ROC curve (receiver operating characteristic curve), and the target ranking curve.
Save the models you like and automatically generate an API for risk assessment of new policy holders (response time 0.8 sec) or use the models to assess renewal contracts using CSV or XLSX files.
The stability issue arises from various factors. Training a neural network multiple times on the same dataset can yield different configurations due to the initial weight selection, Stochastic Gradient Descent, and Dropout algorithms. However, our data scientists have developed a patented K2G Model Ensemble method that effectively addresses this problem.
Learn how it works!For actuaries seeking Data-driven price adjustment coefficients, the K2G BOX solution offers an efficient tool. By utilizing a stable neural network enhanced with alternative data, the K2G methodology ensures robust and reliable calculations. Actuaries can easily download the CSV document containing these coefficients, streamlining their workflow and enhancing accuracy of underwriting assessments.
For pricing and underwriting teams looking to process new inquiries seamlessly, the K2G BOX solution provides a powerful API. Leveraging a stable neural network enriched with alternative data, the K2G methodology ensures accurate and consistent results. By integrating this API, actuaries and underwriters can efficiently handle new inquiries, enhancing their assessment capabilities and improving response times.
Enhanced predictive capabilities
Our AI models uncover hidden patterns within vast datasets, empowering teams to make real-time driven predictions.
Individual pricing solutions
Fine-tune risk pricing strategies with unparalleled accuracy and profitability.
Tailored coverage
Customized and adaptable pricing that reflects the customer's risk profile and preferences, aligned with the insurer's business and financial goals.
Improved customer satisfaction
Reduce instances of anti-selection, enhancing customer satisfaction and fostering loyalty.
Dynamic pricing customization
Precisely tailor prices to match the unique needs and characteristics of each customer, improving engagement and conversion.
Agile response to market dynamics
Stay agile in response to market dynamics, including shifts in demand and competitive trends.
Flexible and efficient marketing
Implement versatile marketing strategies that efficiently reach your target audience and maximize impact.
Identifying advertising opportunities
Discover untapped opportunities for advertising campaigns, expanding your reach and driving growth.
Analyzing advertising effectiveness
Gain insights into the effectiveness of your advertising efforts, optimizing ROI and maximizing returns on marketing investments.
The figures from K2G convinced us in the proof of concept and we therefore decided to use AI technology in our pricing to be able to make the best offer to the best customers
Dr. Michael Amman
Chief Underwriting Officer
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Arina Man
CEO
Arina Man
CEO
Arina Man
CEO
Arina Man
CEO
Olena Horshkova
Senior Expert Actuary and Underwriter
Arina Man
CEO