Tritva
AI Visual Inspection for Quality & Infrastructure
Why Tritva?
TRITVA strengthens production and infrastructure performance by using AI to catch defects in real time, auto-document issues, and trigger maintenance—cutting downtime, improving quality, increasing throughput, and ensuring audit-ready compliance.
How TRITVA Works?
TRITVA leverages advanced computer vision to automatically inspect your products and assets from images or video, instantly flagging any defects in real-time and generating comprehensive, audit-ready reports.
Model building and annotation at scale.
Tritva Vision is where inspection intelligence begins. With an intuitive interface for image/video annotation, labeling, and AI model training, enterprises can create custom inspection models tailored to their assets and industry.
- Build AI models for defect detection with minimal coding.
- Support for supervised annotation workflows.
- Scalable training pipelines optimized for large datasets.
- Re-train and update models continuously for improved accuracy.
Run Tritva Your Way
Cloud, edge, or hybrid architectures optimized for reliability, cost, and control.
The Platform that makes your Inspection Easier
Tritva brings AI-driven visual inspection to your organization cutting costs, reducing errors, and ensuring consistent quality. Easy to integrate and built to scale, it empowers you to stay ahead with confidence.
AI Quality Inspection
Enhance efficiency and accuracy in quality control with AI-powered inspection solutions.
AI Infrastructure Inspection
AI-powered automated infrastructure inspection for improved safety and efficiency.
Why Tritva for AI Quality Control?
Multi-Source Capture
Supports images and videos from drones, rovers, cobots, conveyor AI cameras, and even mobile devices—offering unmatched flexibility in inspection.
Real-Time Processing
Instantly analyzes visual data to classify defects, identify exact issues, and ensure zero-delay decision-making on the production floor or in the field.
Edge + Hybrid Deployment
Works on-premises, in the cloud, or at the edge—delivering speed, scalability, and adaptability across industries.
Adaptive AI Models
Automatically learns from every inspection, improving accuracy over time and adapting to new defect patterns with minimal human input.
Data-Driven Dashboards & Reports
Transforms inspection data into actionable insights with live dashboards and custom reports that help teams improve processes and maintain quality.
Seamless Enterprise Integration
Connects effortlessly with ERP, MES, or quality management systems, ensuring inspection results flow directly into business operations.
Secure & Compliant by Design
Built with enterprise-grade security and compliance, safeguarding sensitive data while meeting industry regulations.
Tritva Inspection Process
From capture to insights, every step ensures accuracy and efficiency.
Data Capture
Pre-Processing (Vision)
Model Building (Vision)
Real-Time Processing (Watch)
Data Storage & Analytics (Sky)
Continuous Learning & Insights
Data Capture
Collect images & videos via drones, cobots, rovers, conveyor AI cameras, or mobile devices to ensure broad coverage and flexibility.
Book a demo →Faq
An AI visual inspection platform uses machine learning and computer vision to detect defects, anomalies, and quality issues in images and videos, making inspections faster and more accurate than manual checks.
Traditional systems rely on fixed rules, while AI adapts through deep learning—detecting subtle, complex, or unexpected defects with higher accuracy.
Yes. Most platforms can retrofit existing cameras, sensors, and enterprise systems (ERP/MES), reducing disruption and cost of adoption.
AI-powered systems can reach accuracy levels above 95–99%, even at production speeds, ensuring fewer defects pass through unnoticed.
AI inspects paint quality, weld seams, part alignment, and assembly precision, reducing recalls and improving vehicle safety and consistency.
AI enables drones and rovers to detect corrosion, leaks, and cracks in pipelines, rigs, and storage tanks, while reducing human exposure in hazardous areas.
Yes. By combining inspection data with historical trends, AI predicts failures in advance, helping schedule proactive maintenance.
Absolutely. With drones, cobots, and rovers, inspections can be done in dangerous or remote areas without putting humans at risk.
Yes. It is widely used in manufacturing, automotive, oil & gas, energy, utilities, and public infrastructure, adapting to each sector’s needs.
Businesses achieve reduced downtime, improved safety, lower inspection costs, and better compliance—all while improving asset performance.
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