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Nimbloo

AI-powered vehicle inspection and claims analysis for insurance carriers

Claims Technology Growth Bootstrapped
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Overview

Nimbloo is a vehicle inspection and claims analysis platform for P&C carriers, MGAs, brokers, fleet operators, and financial institutions. The company applies computer vision and machine learning to automate the analysis of vehicle images, converting raw photos into standardized inspection data that supports underwriting, claims adjudication, and fraud detection workflows.

The platform includes 14 patented APIs and over 30 specialized algorithms trained on vehicle-specific data, processing a full vehicle analysis in 20 to 60 seconds with reported accuracy rates of 95% or higher. Nimbloo is delivered as a SaaS suite with REST API and SDK integrations for connecting to existing insurance platforms.

Founded in 2022 and headquartered in Recife, Brazil, Nimbloo operates with a team of approximately 20 employees. The company is fully bootstrapped after buying back early angel investor stakes in 2025. Customers include Loovi, a Brazilian digital insurer that automated its underwriting and approval processes with the platform, and multinational vehicle marketplace AutoAvaliar. The company is expanding into US and European markets from 2026 onward and participated in ITC Vegas 2024 and World Summit AI 2026.

Products & Services

Nimbloo Suite

An integrated vehicle inspection platform combining image capture, AI-based analysis, and automated decision-making. The Suite enables insurers and fleet operators to run standardized vehicle inspections through a unified interface, producing structured data for claims handling, underwriting, and compliance audits.

Key Features

  • Real-time image capture validation and quality checks
  • Standardized data extraction from vehicle photos
  • Enterprise API and SDK integration with insurance platforms
  • Configurable business rules for routing and approval workflows

Target Users: Insurance carriers, MGAs, fleet operators, vehicle dealerships

Image Authenticity Module

A fraud-detection component that validates the authenticity of vehicle images submitted in claims or inspection workflows. The module checks for photo manipulation, image reuse, and metadata inconsistencies.

Key Features

  • Detection of altered or recycled vehicle photos
  • Metadata analysis and consistency validation
  • Integration into FNOL and claims intake workflows

Target Users: Claims teams, fraud investigation units

Decision Engine

An automated rules engine that applies carrier-defined business logic to standardized vehicle inspection data. Enables routing of claims, underwriting decisions, and approval workflows without manual review.

Key Features

  • Configurable rule sets per carrier or line of business
  • Automated claim routing and approval logic
  • Real-time decision output with audit trail

Target Users: Claims operations, underwriting teams

Analytics Dashboard

A monitoring and reporting interface providing operational visibility into inspection performance, fraud flags, accuracy metrics, and processing throughput.

Key Features

  • Processing and accuracy KPI tracking
  • Fraud incident reporting
  • SLA monitoring and operational bottleneck identification

Target Users: Operations managers, analytics teams

At a Glance

Founded
2022
Headquarters
Recife, Pernambuco, Brazil
Employees
11-50
Funding
Bootstrapped

Category & Focus

Category
Claims Technology
Subcategories
Fraud Detection Claims Automation Vehicle Inspection
Insurance Verticals
P&C Personal P&C Commercial
Target Customers
Carriers, Brokers, MGAs/MGUs

Customers

  • Loovi -- Brazilian digital insurer; fully automated underwriting and approval workflows
  • AutoAvaliar -- Multinational vehicle marketplace operating in Mexico, Portugal, and Brazil
  • Carglass -- Windshield repair and replacement services company

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Last updated: 2026-06-25