Sold by: EXL
Deployed on AWS
Leverage aerial imagery and AI to drive decision making and business process redesign in insurance underwriting, marketing, and claims
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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
Dimensions summary
You pay based on usage of this property image analytics solution. Twenty-six billing dimensions apply. Twenty-five charge per host hour of batch model inference, one for each machine learning instance type. These span the m5, m4, c5, c4, p2, and p3 families, from smaller sizes up to the largest configurations. Larger instances offer more compute for heavier batch workloads, so you select the size that fits your processing needs. A separate dimension charges per inference request, letting you pay by the volume of predictions you run.
Top-of-mind questions for buyers
A host hour is one hour that a chosen machine learning instance runs a batch inference job. You pick an instance type, such as ml.m5.large or ml.p3.16xlarge. Billing accrues for each hour that instance is active processing your batch workload. Larger instances cost per host hour at their own rate.
The two metrics bill independently on the same invoice. Host-hour dimensions meter running time of your selected instance during batch jobs. The request dimension meters the number of inference predictions you run. Which one dominates depends on your workload. Continuous batch processing favors host hours; high prediction volume favors request charges.
Charges apply per host hour while the instance is active on a batch job. Once the job finishes and the instance stops, software charges stop accruing. You only pay for the running time of the instance size you select. Underlying AWS resource fees may apply separately.
www.exlservice.com
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Vendor refund policy
No Refund for this version
Legal
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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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
First Version
Additional details
Inputs
- Summary
Currently this version requires to enter required property attributes in the csv format
Roof_Material_Metal Roof_Material_Tile Roof_Material_Concrete Roof_Material_Plastic/Fibreglass Roof_Condition_Damage Roof_Condition_Bad Roof_Condition_Good Roof_Condition_Fair Area Distance_to_Trees Distance_to_Vegetation Tree_Height Distance_to_Closest_Building Number_of_Buildings_in_Parcel Distance_to_Fire_Station Tree_Overhang
1 0 0 0 0 1 0 0 23.31376484 6.895530333 7.221410792 24.26860405 1.070188866 4 80.08811056 0
1 0 0 0 0 0 1 0 30.15353122 4.832803362 3.119558947 20.10368697 8.068513906 2 94.03955412 0.576
https://exl-170989601437-sagemaker-marketplace-models.s3.us-east-1.amazonaws.com/EXL+Property+Insights/image-analytics1/data2/data_test.csv
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
Vendor resources
Support
Vendor support
Vendor support
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
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.
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