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Scrub AI

AI-powered data cleaning and ingestion platform for insurance datasets

Data & Analytics Growth Seed
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Overview

Scrub AI is a data cleaning and ingestion platform purpose-built for the insurance industry. The company automates preparation of complex datasets -- including Statements of Value (SOVs) and bordereaux -- using 50+ insurance-specific machine learning models. The platform targets carriers, reinsurers, and Lloyd's Market syndicates that need to ingest risk and exposure data into underwriting, pricing, and catastrophe modeling systems.

The platform processes over 1,000 rows of data per minute at 99%+ accuracy, delivered as a cloud-native SaaS solution available through AWS Marketplace. It uses a modular architecture of self-hosted ML models incorporating NLP and computer vision, which allows customer data to remain within controlled infrastructure. Integrations with core systems such as Guidewire and Duck Creek enable downstream data handoffs without manual reformatting.

Founded in London in 2020, Scrub AI participated in Lloyd's Lab Cohort 6 and the NVIDIA Inception program, and received an Innovate UK Smart Grant in 2022. The company has raised approximately GBP 3.7M in total angel funding and counts Beazley, Cincinnati, Aegis London, ARK, GIC Re, and Ocean Re among its customers.

Products & Services

Underwriting Platform

An AI-powered data cleaning and transformation tool that processes risk and exposure data for underwriting and pricing workflows. Handles SOVs and other structured risk data, outputting clean, validated datasets ready for system ingestion.

Key Features

  • Processes 1,000+ rows per minute with 99%+ accuracy
  • 50+ insurance-specific ML models for data standardization and validation
  • Reduces manual data preparation effort by up to 80%
  • Self-hosted model architecture to maintain data security

Target Users: Underwriters, data engineers, and operations teams at carriers and Lloyd's syndicates

Delegated Authority Platform

Launched in early 2025, this platform cleans and standardizes risk, premium, and claims bordereaux across delegated authority workflows. Addresses data quality issues in the London Market's delegated authority supply chain.

Key Features

  • Cleans and standardizes bordereaux for delegated authority workflows
  • Validates premium and claims data against expected formats
  • Modular integration via API into existing DA systems

Target Users: Coverholder operations teams, managing agents, and Lloyd's syndicates managing delegated authority books