State of the art AI based risk modelling with automated data preparation for more precise risk pricing.
Lumnion's open platform allows the use of all widely accepted Machine Learning Algorithms, including XG Boost, Random Forest, Decision Tree, as well as GLM and GAM for risk modeling.
Lumnion has also developed its own methodology to make any black box machine learning algorithms' results transparent to make them operationally usable.
Lumnion offers an automated data preparation and earned premium calculation solution, making it easy and fast to create modeling data suitable for machine learning without any coding. Simply choose your analysis period, and you are ready to go, eliminating operational risk and the need for code. This tool simplifies complex calculations, allowing you to obtain the most accurate numbers with just a few clicks.
Moreover, Lumnion enhances risk pricing and actuarial modeling by discovering hidden patterns and identifying new variable combinations, thereby improving risk detection for insurance products. Combining domain expertise with collective artificial intelligence, Cheetah simplifies the modeling process and generates calculations that surpass human capabilities. It supports sophisticated actuarial modeling, including GLM, GAM, XGBoost, and other widely used machine learning algorithms for risk modeling. Platform includes automated and manual variable grouping, factor and interaction advice, statistical results for all factors and models, model comparison modules, and automated reporting to enhance the user experience when building complex risk models.
Highlights
Enhanced Risk Detection and Modeling: Improves risk detection for insurance products by discovering hidden patterns and identifying new variable combinations. Simplifies the modeling process and surpasses human capabilities through advanced artificial intelligence.
Sophisticated Actuarial Modeling: Supporting GLM, GAM, XGBoost, and other widely used machine learning algorithms, allowing for robust risk modeling and accurate calculations.
Brings transparency into all ML algorithms that are on the platform.
Comprehensive ML Features: Includes automated and manual variable grouping, factor and interaction advice, statistical results for all factors and models, model comparison modules, and automated reporting to enhance the user experience in building complex risk models.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers a single contract option: Basic (MB), which comes with a 350 MB data size limit. Pricing is based on this one plan under a contract model, so there are no separate tiers or instance sizes to compare. The data size limit defines how much data you can process on the platform. The platform is built from modules for data preparation, risk pricing, price management, and rate engine functions, which can be activated separately as needed.
Top-of-mind questions for buyers
What does the 350 MB data size limit measure, and how is it counted?
The 350 MB limit caps the amount of data you can load into the platform for preparation and modeling. It applies to the data you process, not the software size. Once you reach the limit, you cannot add more data under this plan until you free up space or upgrade.
Do I have to activate and pay for every module in the platform?
No. The platform is built from separate modules covering data preparation, risk pricing, price management, scenario analysis, and rate engine functions. You can activate only the modules you need, and you can turn them on at different times.
Can the platform run on my own servers instead of the cloud?
Yes. The vendor can deploy the whole platform, including the Pricing Engine, on premise. In that case, your data does not leave your company. This addresses security concerns for organizations that prefer to keep data in house rather than in the cloud.
www.lumnion.com+1
Helpful?
Vendor refund policy
No Refund Policy
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Customers can contact support@lumnion.com both within the platform and externally. Lumnion has a policy of responding to any request within 24 hours.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.