Automate the cleansing and ingestion of complex insurance data. Scrub AI standardises SOVs and bordereaux instantly, empowering your team to quote and model risk with total confidence.
Scrub AI is a cloud-native data preparation and ingestion platform purpose-built for the insurance industry. Built on AWS, it automatically cleans, standardises, and validates complex, high-volume datasets such as Schedules of Values (SOVs) and bordereaux before they enter downstream systems.
Manual data cleaning and inconsistent submissions often block critical workflows, slow down quote turnarounds, and limit post-bind visibility. Scrub AI solves this by applying deterministic processing supported by over 50 insurance-specific machine learning models to deliver consistent, repeatable outputs at scale. Scrub AI integrates seamlessly via API and secure file ingestion to ensure high-quality data feeds directly into your pricing, cat modelling, and reporting platforms.
Trusted by leading syndicates and carriers, including Beazley, Cincinnati, Aegis, GIC Re, and Ocean Re, Scrub AI delivers proven ROI:
Up to 70 percent revenue uplift from faster quoting
Up to 80 percent less manual effort in data preparation
50 percent lower data cleaning spend
99 percent accurate data flowing to downstream systems
Highlights
Applies deterministic processing supported by 50 plus insurance-specific machine learning models to deliver consistent, repeatable outputs at scale.
Purpose-built to automate the ingestion and standardisation of complex SOVs and bordereaux for underwriting and delegated authority workflows.
Integrates seamlessly via API to reduce manual data preparation effort by up to 80% and ensure 99% downstream data accuracy.
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 has one pricing dimension: Scrub AI Core, billed in Units under a contract. Buying it gives you access to the data cleaning and ingestion platform. You purchase the quantity of Units your team needs, and pricing scales with the number of Units you commit to. There are no separate tiers or add-on dimensions to choose between. The platform cleans, validates, and standardises risk, premium, and claims data for insurance workflows. To size the right number of Units for your data volume, contact the vendor.
Top-of-mind questions for buyers
What does one Unit of Scrub AI Core represent for billing?
A Unit measures your access to the data cleaning and ingestion platform. The platform processes about 1,000 rows of data per minute. Your Unit quantity should reflect your expected data volume across underwriting and delegated authority workflows. Contact the vendor to size the right number of Units for your needs.
What does buying Scrub AI Core Units give me access to?
You get access to the platform for cleaning, validating, and standardising insurance data. This covers risk and exposure data plus risk, premium, and claims bordereaux. You can export to multiple formats and connect through API integration. Bespoke cleaning rules and address validation are included.
How does my cost change as my data volume grows over time?
Pricing is a contract based on the number of Units you commit to. Your cost scales with the quantity of Units purchased, not per row processed automatically. If your data volume grows beyond your committed Units, contact the vendor to adjust your quantity.
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This API uses AI models, Machine Learning, specialized algorithms, and extensive knowledge bases to generate a similarity key for an individual name to be used to match with other similar individual name data to identify data inconsistency, misspellings, name variations, nicknames, and more. The API can be called to generate a key for single records for matching with other records, or can be used to process, match, and normalize entire datasets via either API or the Web GUI wizard.
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