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Brick

AI-native decision platform for insurance risk, fraud, and claims operations

Claims Technology Startup Seed
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Overview

Brick is a risk decision platform for insurance companies, vehicle protection operators, and vehicle rental businesses. The platform enables business teams to build and manage automated decision workflows for underwriting, claims processing, and fraud prevention -- without requiring IT development resources.

The system delivers automated workflow execution, AI-powered document reading, and cross-referencing of multiple data sources in real time. Insurers can configure rules and adjust decision logic through a no-code visual interface, reducing the need for custom software development when operational requirements change. Brick estimates fraud investigation time is reduced from approximately 12 business days to under 24 hours using its automated workflows.

Founded in 2021 and headquartered in Curitiba, Brazil, Brick has grown to serve over 600 companies across the Brazilian market. The company raised USD 870K in seed funding in 2025, led by Honey Island (4UM) and Broom Ventures, with notable angel investors including the CEOs of Pipefy and Ebanx.

Products & Services

Automated Decision Workflows

Configurable process automation for insurance operations -- underwriting approvals, claims routing, and fraud investigation steps. Workflows are defined using a visual no-code interface and execute rules consistently without manual intervention.

Key Features

  • Visual no-code workflow builder for business users
  • Consistent, auditable decision execution
  • Configurable rules for underwriting, claims, and fraud scenarios

Target Users: Insurance operations and claims teams

Intelligent Document Reading

AI-driven extraction and interpretation of insurance documents including policy forms, declarations, and claims evidence. Reduces manual data entry by automatically parsing submitted documentation.

Key Features

  • Automated extraction from policy forms and declarations
  • Claims evidence interpretation
  • Integration with downstream workflow steps

Target Users: Claims adjusters, underwriting staff

Data Source Integration

Real-time cross-referencing of internal and external databases for risk assessment and fraud validation. Enables insurers to query multiple data sources at claim or underwriting trigger points.

Key Features

  • Multi-source data validation at decision points
  • Fraud signal identification across databases
  • Real-time query execution during claim and underwriting workflows

Target Users: Fraud and underwriting teams

AI-Applied Processes

Tools for building forms, reports, and dashboards alongside dynamic process adjustment capabilities. Allows business users to modify operational logic in response to changing risk patterns.

Key Features

  • Custom form and report generation
  • Dynamic rule adjustment without IT support
  • Dashboard visibility into decision outcomes

Target Users: Insurance operations managers, compliance teams