Ravin AI
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About
Ravin AI provides an end-to-end automated damage adjustment and inspection platform designed to modernize the vehicle assessment process. By replacing manual, subjective inspections with AI-driven analysis, the tool allows users to generate consistent, objective condition reports for insurance claims, fleet handovers, and remarketing. Its primary mission is to streamline the First Notification of Loss experience, helping organizations transition from slow, human-led appraisals to instantaneous digital triaging through advanced computer vision. The ecosystem consists of three main components: Inspect, Eye, and AutoScan. Ravin Inspect is a mobile-based web tool that guides drivers through a professional scan without requiring an app installation, using real-time feedback to ensure image integrity. Once captured, the data is processed by the Ravin Eye platform, which utilizes patented RepairIQ and DeepDetect engines—trained on billions of vehicle records—to calculate repair costs and flag potential fraud. For high-volume environments like ports or rental lots, Ravin AutoScan can even repurpose existing CCTV infrastructure to monitor vehicle condition automatically as cars pass through. This solution is specifically tailored for industries managing large volumes of vehicles, including insurance providers looking to settle claims faster and fleet management companies needing to track asset health over time. Remarketing platforms also benefit by speeding up unit turnover and ensuring consistency in condition reports. Furthermore, automotive service centers can use the technology to improve transparency with customers by providing documented digital evidence of vehicle issues directly from their smartphones, eliminating the need for physical inspections. What distinguishes Ravin AI is its integration of mobile-first accessibility with high-level deep learning. Unlike traditional inspection software that requires specialized hardware or manual input, Ravin leverages the equipment users already own—smartphones and CCTV cameras. Its ability to provide total loss recommendations and repair estimates straight into existing claim management systems via API makes it a highly scalable enterprise solution. The tool's credibility is backed by its use among major global brands including Toyota, Mercedes-Benz, and Hertz.
Pros & Cons
No mobile app installation required for vehicle scans
Repurposes existing CCTV cameras for automated inspections
Integrates directly with claim management systems via API
Patented AI trained on billions of vehicle records for high accuracy
Provides real-time guidance to ensure users capture professional-grade images
Pricing is not transparently listed and requires a custom quote
Full features like AutoScan may require existing CCTV hardware infrastructure
Requires a demo request to access the platform's core tools
Use Cases
Insurance adjusters can automate the FNOL process by having customers scan their own vehicles, reducing claim settlement times.
Fleet managers can track vehicle condition changes over time during handovers to minimize maintenance disputes.
Remarketing platforms can generate consistent condition reports to speed up unit churn and increase value per unit.
Automotive service centers can provide digital damage assessments to customers remotely, enhancing transparency and trust.
Tow truck drivers can document vehicle condition at the point of pickup to protect against liability claims.
Platform
Features
• fraud detection
• deepdetect ai
• repairiq engine
• total loss recommendation
• repair cost prediction
• ravin autoscan cctv integration
• ravin eye assessment platform
• ravin inspect mobile capture
FAQs
Do users need to install a mobile app for vehicle inspections?
No, Ravin Inspect is a mobile-based tool that functions through a web browser. This allows drivers or customers to capture high-quality vehicle scans instantly without the friction of downloading or updating a dedicated application.
How does Ravin AI determine if a vehicle is a total loss?
The platform uses its AI-powered Ravin Eye engine, which analyzes captured images against billions of vehicle records. It predicts repair costs and provides automated recommendations for total loss versus repairable cases, integrating these results directly into the user's claim management system.
Can existing security cameras be used for vehicle inspections?
Yes, Ravin AutoScan is designed to transform standard CCTV cameras into automated vehicle scanners. This allows for seamless condition capture in high-traffic areas like rental car lots or logistics hubs without requiring manual photography.
What industries is Ravin AI primarily built for?
The tool is optimized for insurance providers, fleet and leasing managers, remarketing platforms, and automotive service centers. It focuses on speeding up claims, tracking asset condition over time, and maximizing remarketing value.
How does the AI ensure the quality of images captured by customers?
The Ravin Inspect tool provides proactive guidance for first-time users during the scanning process. It verifies image integrity and completion in real-time to ensure that the 360-degree view and damage highlights are sufficient for a professional-grade assessment.
Pricing Plans
Enterprise
Unknown Price• Ravin Inspect mobile tool
• Ravin Eye assessment platform
• Repair cost calculation
• Total loss/repair recommendations
• Fraud detection
• API integration
• 360-degree vehicle views
• Historical condition tracking
• Real-time image verification
• CCTV integration support
Job Opportunities
Client Partner / Customer Success Manager (Australia)
Transform vehicle inspections and claims with an AI-powered agent that predicts repair costs, detects fraud, and automates total loss decisions for fleets and insurers.
Benefits:
Company events, tours, trips, and celebrations
Training programs for personal and professional development
Meal allowance every month
Flexible working hours and location
Competitive salary
Experience Requirements:
5+ years of relevant working experience as a Client Partner
Experience developing relationships with C-Levels and stakeholders
Experience with AI-driven or technical solutions
Experience selling software solutions in the motor insurance industry
Experience closing multi-million dollar enterprise software deals
Other Requirements:
Strong verbal, written, and presentation skills
Ability to work independently and manage multiple priorities
Willingness to travel within Australia and APAC up to 50% of the time
Responsibilities:
Drive revenue growth by managing customer relationships
Strengthen relationships across client organizations
Develop and execute strategic account plans
Collaborate with internal teams for tailored solutions
Maintain high levels of customer satisfaction
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Project Manager Tech and Delivery
Transform vehicle inspections and claims with an AI-powered agent that predicts repair costs, detects fraud, and automates total loss decisions for fleets and insurers.
Benefits:
Company events, tours, trips, and celebrations
Training programs
Meal allowance every month
Flexible working hours
Cutting edge technological environment
Experience Requirements:
3-5 years of Software/Integration projects (Customer facing)
Hands-on experience in integration of frontend, backend, and infrastructure
Experience with project management tools
Other Requirements:
Great interpersonal and communication skills
Problem solver and analytical skills
Native English language level
Sales oriented
Responsibilities:
Play major part in pre-sale and post-sale processes
Translate business requirements into technical elements
Ensure SOW is delivered within budget and timelines
Hands-on involvement in system integration
Manage technical communication with clients
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Support Team Lead & Senior Customer Support
Transform vehicle inspections and claims with an AI-powered agent that predicts repair costs, detects fraud, and automates total loss decisions for fleets and insurers.
Benefits:
Opportunity to work with cutting edge AI technologies
Opportunity to create a support team from scratch
Training programs
Meal allowance every month
Company events
Education Requirements:
A relevant IT education is an advantage
Experience Requirements:
Experience in customer technical support and leading a support team
Good understanding of support processes
Experience with customer service systems like Zendesk
Experience with logs, Front-End console, and APIs
Basic knowledge of MySQL or SQL, AWS, and Postman
Other Requirements:
Full operational command of English
Excellent organizational and leadership skills
Intercultural competence
Experience conducting customer training is an advantage
Responsibilities:
Onboarding, training, and 1st and 2nd line technical support
General support case management and escalations
Establishment and development of customer technical support team
Ensuring high level of customer service quality
Collaborating with R&D, product, and sales departments
Show more details
Ratings & Reviews
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