Overview
Solution leverages AI and ML to provide accurate, real-time insights for underwriting, marketing and claims. Solution extracts property attributes from high-resolution aerial imagery and combines with additional property-level features that influence risk. With these insights, insurers can better evaluate develop risk models, and combine individual peril scores into an overall risk score. For underwriters, the solution offers risk scores for fire, weather and flood. For claims processing, it provides a severity score, helps with triaging and reserve setting, and supports assessment of replacement value. The solution can also help carriers increase marketing ROI.Pricing Information: Pricing is indicative.
Highlights
- End-to-End Solution: Support a variety of use cases across your enterprise with a single solution that brings together an ever-growing pool of third-party and partner data to optimize decision making.
- Flexible Contracting and Deployment Options: Choose the right combination of image and data features, as well as technical integration models, to meet your specific needs.
- Speed to Market: Get to market quickly with minimal development effort and an on-demand consumption model.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $1,000.00/host/hour |
ml.m5.xlarge Inference (Batch) | Model inference on the ml.m5.xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m5.12xlarge Inference (Batch) | Model inference on the ml.m5.12xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m5.24xlarge Inference (Batch) | Model inference on the ml.m5.24xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m4.xlarge Inference (Batch) | Model inference on the ml.m4.xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $1,000.00/host/hour |
ml.m4.10xlarge Inference (Batch) | Model inference on the ml.m4.10xlarge instance type, batch mode | $1,000.00/host/hour |
Vendor refund policy
No Refund for this version
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
First Version
Additional details
Inputs
- Summary
Currently this version requires to enter required property attributes in the csv format
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
tbd | tbd | Type: FreeText | Yes |
Resources
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Support
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United Kingdom and Europe St Clare House, 30-33 Minories, London, EC3N 1DD T +44 (0) 207.767.3500
United States (Global Headquarters) 320, Park Avenue, 29th Floor, New York, New York 10022 T +1 212.277.7100 F +1 212.277.7111
AWS infrastructure support
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