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Brick Seguros

AI-native decision automation for insurance underwriting, claims, and fraud prevention

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Overview

Brick is a decision automation platform for insurance carriers, focused on underwriting, claims processing, and fraud prevention. The platform operates as an AI-native operating system for risk decision-making, allowing business teams to build, adjust, and audit automated workflows without relying on IT or development resources.

The product centers on a no-code workflow engine that connects intelligent forms, over 200 external data sources, and AI-powered document analysis into structured decision flows. Insurance companies use Brick to automate subscription processing, evaluate claims, and detect fraudulent documents through a single configurable interface.

Founded in 2021 and headquartered in Curitiba, Brazil, Brick raised a seed round of USD 0.87M in February 2025 from Honey Island Capital, Broom Ventures, and Verve Capital. As of early 2026, the platform serves more than 600 insurance companies across Brazil.

Products & Services

Automated Decision Workflows

A visual no-code builder for creating end-to-end decision flows that combine intelligent forms, database queries, and AI document analysis. Business teams can configure and modify workflows without developer involvement.

Key Features

  • Visual workflow builder with branching logic
  • Connects to 200+ internal and external data sources
  • Full auditability and traceability from input to decision

Target Users: Underwriting and claims operations teams at insurance carriers

Document Intelligence

An AI-powered module that reads and interprets insurance documents -- policies, declarations, and evidence files -- extracting structured data automatically.

Key Features

  • Automated extraction from complex insurance documents
  • Interpretation of policy terms and declaration pages
  • Integration with decision workflows for straight-through processing

Target Users: Claims handlers and underwriters

Data Cross-Referencing

Real-time consultation of internal and external data sources to validate applicant and claimant information during decision workflows.

Key Features

  • Real-time query of 200+ data sources
  • Internal and external data enrichment
  • Fraud signal detection through cross-referencing

Target Users: Underwriting and fraud prevention teams

Decision Investigation

Visibility and audit tooling that provides full traceability across decision processes, from initial input through to final outcome.

Key Features

  • Complete decision audit trail
  • Version comparison and performance monitoring
  • Regulatory compliance support through documented decision logs

Target Users: Compliance and operations managers