Overview
Brick is a no-code decision automation platform for insurance carriers and mobility businesses. Founded in 2021 in Curitiba, Brazil, the company builds infrastructure that enables insurers, vehicle rental operators, and fleet managers to automate underwriting, fraud detection, and claims workflows without custom software development.
The platform functions as an orchestration layer connecting 200+ data sources, AI document extraction modules, and configurable rule engines. Business teams assemble decision flows using a visual builder, monitor outcomes in real time, and adjust rules without IT involvement. Brick reports that clients resolve more than 60% of claims cases automatically within 24 hours, compared to resolution cycles that previously spanned 12 or more business days.
Brick raised a R$5M seed round in February 2025 led by Honey Island by 4UM and Broom Ventures, with angel participation from Alessio Alionco (CEO of Pipefy) and Joao del Valle (CEO of EBANX). The company has grown annualized revenue 16x since its angel round while maintaining a Burn Multiple of 0.2x.
Products & Services
AI Decision Engine Platform
A no-code visual builder for constructing end-to-end risk decision workflows. Teams assemble flows using pre-built connectors to 200+ data sources, AI document extraction modules, and rule engines.
Key Features
- Visual workflow builder for underwriting and claims decisions
- 200+ integrations with Brazilian data bureaus, government registries, and commercial data providers
- Real-time rule adjustment without code changes
- Decision traceability log for compliance and LGPD documentation
Target Users: Insurance carriers, fleet operators, vehicle rental companies
Intelligent Document Extraction
AI-powered module that ingests and interprets insurance policies, declarations, claims evidence, and identity documents. Produces structured data for downstream decision flows.
Key Features
- Automated personal health questionnaire (PHQ) processing
- Policy and declaration interpretation
- Identity and sinistro evidence ingestion
- Structured output for workflow integration
Target Users: Underwriting and claims operations teams
Fraud Detection Module
Automated fraud screening integrated into decision workflows. Combines document verification, entity linkage, and dynamic rule validation to flag irregularities before claim resolution.
Key Features
- Relationship mapping and entity linkage
- Dynamic rule validation
- Sinistro irregularity flagging
- Configurable fraud catch thresholds
Target Users: Claims and fraud investigation teams
Decision Optimization Dashboard
Monitoring environment for comparing workflow versions, running A/B tests on rule changes, and tracking performance metrics.
Key Features
- Workflow version comparison
- A/B testing for rule changes
- Metrics tracking: fraud catch rate, false-positive rate, processing latency
- Real-time performance monitoring
Target Users: Operations managers, analytics teams
At a Glance
- Founded
- 2021
- Headquarters
- Curitiba, Parana, Brazil
- Employees
- 11-50
- Funding
- Seed
Category & Focus
- Category
- Insurtech Infrastructure
- Subcategories
- Underwriting Automation Claims Automation Fraud Detection Decision Intelligence
- Insurance Verticals
- P&C Commercial Specialty/E&S
- Target Customers
- Carriers, MGAs/MGUs
Customers
- Vehicle rental companies (largest segment)
- Brazilian insurance carriers
- Brasilprev
- Porto Seguro
- Sompo
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Last updated: 2026-06-25