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SDRefinery AI

AI-powered claims performance analytics that transforms adjuster notes into objective, measurable outcomes.

Claims Technology Startup Seed
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Overview

SDRefinery AI is a Plymouth, Minnesota-based insurtech company that applies narrow artificial intelligence to insurance claims operations. The company specializes in reading and interpreting unstructured adjuster note documentation -- referred to as "sentence data" -- to generate objective, measurable performance metrics for claims leadership.

The platform converts subjective claims file narratives into quantifiable data, enabling claims managers to evaluate adjuster activity, identify process bottlenecks, and drive performance improvements. SDRefinery reports a 30% improvement in adjuster performance using its applied claims technology.

Founded in 2019 and backed by the Global Insurance Accelerator, SDRefinery targets P&C carriers and TPAs seeking to modernize claims performance management through data-driven measurement rather than subjective supervisor assessment.

Products & Services

ACT AI (Applied Claims Technology AI)

SDRefinery's flagship product that generates over 100 configurable metrics from adjuster claim file notes and documentation. ACT AI empowers claims leadership with faster, objective measures of key adjuster activities that directly impact claim outcomes and reduce expenses.

Key Features

  • Syntactic, semantic, and narrative compositional pattern mining of unstructured adjuster notes
  • Word-by-word sentence analysis converting narrative text to structured performance data
  • Over 100 configurable performance metrics for claims leadership dashboards
  • Output to analytics dashboards or data warehouses via API integration

Target Users: Claims managers, claims leadership, VP of Claims

Claims Performance Analytics

Configurable solutions utilizing client claims data to identify performance strengths and gaps across the adjusting team. Enables swift action on process bottlenecks and drives measurable improvement in adjuster activity and claim outcomes.

Key Features

  • Performance benchmarking across adjusters and teams
  • Bottleneck identification and process optimization
  • Configurable reporting tailored to carrier workflows

Target Users: Claims directors, operations leadership

Underwriting Analytics

Data science capabilities extended to underwriting operations, applying SDRefinery's data extraction and pattern mining techniques to underwriting workflows.

Target Users: Underwriting managers, actuarial teams