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    STRATA: Race/Ethnicity Probability + Uncertainty (US, name+address)

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    Deployed on AWS
    Estimate race/ethnicity probabilities (5 classes) from a name + US address for aggregate fair-lending, housing-equity, and disparity analysis. Runs in your AWS account; per-record uncertainty (IU) and privacy-preserving cohort tokens included. Aggregate use only.

    Overview

    STRATA estimates the most likely race/ethnicity of individuals from name and US address using a published char-LSTM + geography model refined by gradient-boosted soft-voting, deployed as a SageMaker real-time endpoint or Batch Transform in your own AWS account - your input records never leave your account and the vendor never sees your data. Each record returns calibrated probabilities for five classes (White, Black, Hispanic, Asian, Other), the argmax label, and a per-record uncertainty index (IU). Resolved geography is withheld; output carries privacy-preserving anonymous cohort tokens (cohort_tract, cohort_zcta) that let you group results by geography without exposing census identifiers. A waterfall selects the best-supported geographic tier per record (block-group+tract, tract, ZCTA, or name-only) and reports the geographic lookup level used (lookup_level, with lookup-quality codes). Method reproduces a published methodology that improves on BISG/BIFSG with lower false-positive bias. Licensed for aggregate, population-level analysis only (e.g. HMDA/ECOA/CRA fair-lending monitoring, housing-equity and disparity research) - NOT for decisions about identified or identifiable individuals. See the EULA for permitted-use and prohibited-use terms.

    Highlights

    • Name + US address -> calibrated 5-class race/ethnicity probabilities (White/Black/Hispanic/Asian/Other) plus a per-record uncertainty index (IU).
    • Runs entirely in your AWS account (real-time endpoint or Batch Transform); input PII never egresses. Resolved geography is withheld - output carries privacy-preserving anonymous cohort tokens.
    • Licensed for aggregate, population-level analysis ONLY (fair lending/HMDA/ECOA/CRA, housing equity, disparity research) - not for individual decisions. See EULA.

    Details

    Delivery method

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    Deployed on AWS
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    Pricing

    STRATA: Race/Ethnicity Probability + Uncertainty (US, name+address)

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    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.

    Usage costs (4)

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    Dimension
    Description
    Cost/host/hour
    ml.m5.xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.m5.xlarge instance type, real-time mode
    $13.58
    ml.m5.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m5.xlarge instance type, batch mode
    $13.58
    ml.m5.2xlarge Inference (Real-Time)
    Model inference on the ml.m5.2xlarge instance type, real-time mode
    $24.33
    ml.m5.2xlarge Inference (Batch)
    Model inference on the ml.m5.2xlarge instance type, batch mode
    $24.33

    Vendor refund policy

    Software charges are metered per instance-hour through AWS Marketplace. Contact terry@aequum.ai  within thirty (30) days of an invoice for a billing adjustment for a verified duplicate charge, metering error, or material inability to use the product caused by a confirmed defect; approved adjustments are issued through AWS Marketplace. AWS infrastructure charges are governed solely by AWS.

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    Usage information

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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:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Initial release of STRATA (M8-BGT). National US name+address race/ethnicity probabilities (5-class) with per-record uncertainty (IU), waterfall tier selection, and privacy-preserving anonymous cohort tokens. Real-time endpoint or Batch Transform.

    Additional details

    Inputs

    Summary

    CSV with a header row; one individual per row. Columns: fname,mname,lname,address,city,state,zip5. fname and lname are required; mname optional. The name drives the character-LSTM; the US address adds geographic signal via an offline resolver. Any extra columns (e.g. a record id) pass through unchanged. US scope.

    Input MIME type
    text/csv
    customer_id,fname,mname,lname,address,city,state,zip5 A001,MARIA,,GARCIA,1600 Pennsylvania Ave NW,Washington,DC,20500 A002,WEI,,CHEN,1 Infinite Loop,Cupertino,CA,95014 A003,JAMES,R,SMITH,233 S Wacker Dr,Chicago,IL,60606 A004,AISHA,,OKAFOR,1350 Avenue of the Americas,New York,NY,10019 A005,CARLOS,A,RODRIGUEZ,845 N Michigan Ave,Chicago,IL,60611
    customer_id,fname,mname,lname,address,city,state,zip5 A001,MARIA,,GARCIA,1600 Pennsylvania Ave NW,Washington,DC,20500 A002,WEI,,CHEN,1 Infinite Loop,Cupertino,CA,95014 A003,JAMES,R,SMITH,233 S Wacker Dr,Chicago,IL,60606 A004,AISHA,,OKAFOR,1350 Avenue of the Americas,New York,NY,10019 A005,CARLOS,A,RODRIGUEZ,845 N Michigan Ave,Chicago,IL,60611

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