AI-Powered Claims Intelligence
Leveraging advanced computer vision, machine learning, and domain-specific AI models, our platform analyzes vehicle images, repair data, and claim information to deliver highly accurate damage assessments, cost predictions, and actionable insights. Designed for enterprise scale, the technology seamlessly integrates with insurance, repair, and fleet management ecosystems.
200M+ Vehicle Images Processed
95%+ Damage Detection Accuracy
Real-Time Assessment & Estimation
Enterprise-Ready Secure API Integration
The Power of GeniusAI
AI Predictions & Decisioning — delivering comprehensive, accurate and explainable results across every inspection.
Damage Detection & Severity Classification
Repair vs Replace Decision (Per Part)
Identify Associated / Internal Parts That May Be Damaged
Parts Pricing Prediction
Labor Hours Prediction
Line-by-Line Estimate Generation
Rule Mining Engine
Intelligent Orchestration Layer
Continuous Learning Loop
Built on GeniusAI
A single AI-powered inspections platform across the automotive sector — built to deliver Comprehensive, Accurate & Explainable results. Committed to significant reductions in time and cost through intelligent automation, from customer photo capture through to adjuster-ready output.
Engine
Proprietary Hybrid AI Architecture combining Fine-Tuned LLMs, Deep Learning Models, Vision Algorithms, Machine Learning Models, and a Rule Mining Engine for accurate decisions.
App
White-labeled mobile and web application enabling customers to capture photos and videos through guided inspection workflows via mobile apps or customer systems.
Dashboard
Intuitive dashboard providing access to Detailed Estimate Reports, Pre-Inspection Reports, Damage Assessment Summaries, and Adjuster-Ready Outputs.
API
API-First platform with secure RESTful endpoints for seamless integration with Insurance Core Systems, Claims Management Platforms, Body Shops, and Third-Party Applications.
Making instant decision making possible
Using photos or video, GeniusAI performs Repair vs Replace Decision per part — classifying each damaged component into one of 4 actionable categories for straight-through processing.
No Damage
Part assessed as intact with no visible damage detected by the AI model.
Damage Not Detected
Insufficient image quality or angle — part flagged for manual adjuster review.
Repair
Damage severity warrants repair. Further defined as scratch, tear, dent, or other damage type.
Replace
Extent of damage — scratch, tear, dent, or structural — makes replacement the optimal decision.
Advanced AI & Deep Learning
At the heart of Claim Genius is a Proprietary Hybrid AI Architecture. Our AI Engine combines multiple state-of-the-art models — including Fine-Tuned LLMs, Deep Learning, Vision Algorithms, and Machine Learning — to deliver highly accurate and explainable vehicle damage assessments.
Deep Learning Models
Detect, classify and assess damage severity on vehicle parts using state-of-the-art deep neural networks trained on millions of annotated images.
Vision Algorithms
Advanced computer vision for image and video enhancement, object detection, part segmentation and 3D understanding.
Fine-Tuned LLMs
Understand repair manuals, policy guidelines, and claims notes to provide contextual reasoning, decision support and explanations.
Machine Learning Models
Predict part prices, labor hours and total repair cost using historical and real-time data for accurate, market-calibrated estimates.
Global R&D Lab
Innovation never stops at Claim Genius. Our dedicated R&D lab brings together top-tier data scientists, AI researchers, and automotive domain experts to build and continuously refine our training layer — millions of annotated vehicle damage images, thousands of repair videos, repair manuals, part catalogs, OEM data, and historical estimates. A Continuous Learning Loop ensures new claims and outcomes feed back into the system to improve model accuracy over time.
