# Autoinsp > AI and computer vision platform for automated vehicle damage analysis in insurance claims ## At a glance | Field | Value | | --- | --- | | Category | Claims Technology | | Type | Solutions Provider | | Region | LATAM | | Headquarters | Brasilia, Brazil | | Founded | 2020 | | Stage | Growth | | Employees | 51-200 | | Funding | Seed | ## Overview Autoinsp is a claims technology platform for P&C carriers, providing AI-driven vehicle damage analysis for automotive insurance claims processing in Latin America. The platform automates the verification of consistency between insured reports, submitted damage images, and external vehicle and driver data, enabling insurers to accelerate claim decisions and reduce operational overhead from manual assessment. The platform uses computer vision, machine learning, and predictive analytics to detect damage from submitted images, analyze textures and surface patterns, identify potential fraud, and route high-risk cases to human expert validation. Delivered as an API-integrated service, it connects with existing insurance claims systems and vehicle databases, processing claims end-to-end without requiring carriers to rebuild internal workflows. Founded in March 2020 by mechanical engineer Tiago de Bortoli and automotive engineer Joao Pedro Taborda Lottermann, both former Mercedes-Benz executives, Autoinsp has grown to serve major Brazilian insurers including Porto Seguro, Allianz, and Liberty Seguros. By 2024, its platform covered approximately 50% of Brazil's insured vehicle fleet -- around 16 million vehicles. The company completed a USD 1.2M seed round in 2024 backed by Bossa Invest, Venture Hub, Newlin, and Anjos do Brasil. ## Products & services ### Claims Management Automation Platform An AI-driven system that processes automotive insurance claims end-to-end, automating damage detection, fraud prevention, and decision acceleration through image recognition and data enrichment. **Key features:** - Automated vehicle damage detection from submitted photos using deep learning image analysis - Fraud detection that flags inconsistencies between reported damage, images, and vehicle history - Integration with insurance claims systems via API for end\-to\-end claims workflow automation *Target users:* P&C carriers, automotive insurers ### Image and Document Processing Automated analysis of vehicle damage images combined with document verification. The system interprets maintenance records and identifies visual anomalies including dents, scratches, and cracks by analyzing surface patterns using computer vision. **Key features:** - Deep learning\-based damage classification from photos - Maintenance record interpretation and cross\-referencing - Documentation tamper detection *Target users:* Claims adjusters, insurance carriers ### Fraud Prevention Supervision Machine learning-based fraud detection that flags suspicious claims and routes high-risk cases to human expert validation. **Key features:** - Image manipulation detection - Claims pattern analysis against historical data - Automated risk scoring and routing to human review *Target users:* Fraud investigation teams, claims operations ### Business Intelligence Historical claims and maintenance database analysis providing predictive analytics on claim patterns, risk assessment, and operational efficiency metrics. **Key features:** - Claims pattern trend analysis - Risk assessment reporting - Operational efficiency metrics *Target users:* Insurance operations and analytics teams ## Category & focus - Subcategories: Fraud Detection, Claims Automation, Vehicle Damage Assessment - Insurance verticals: P&C Personal, P&C Commercial - Target customers: Carriers ## Notable customers - Porto Seguro - Allianz Brazil - Liberty Seguros ## Links - Website: - Directory profile: - Linkedin: --- *Last updated: 2026\-06\-12*