AI-Powered Visual Inspection.
Smarter, Faster, Accurate.
The Complete AI Visual Inspection Platform
Akridata transforms quality inspection with multimodal AI, enabling manufacturers, automation teams, and data scientists to optimize workflows, detect defects in real time, and improve accuracy at scale.
Automate quality control with AI-powered vision.
Improve inspection accuracy while reducing costs.
Seamlessly integrate with your existing systems.
Trusted by leading AI and data science teams
AI That Works for You
Real-Time AI-Powered Insights
Multimodal Inputs & Usability
Seamless Integration
End-to-End AI System Optimization
Akridata’s AI-Powered Inspection Suite
Three AI Solutions for Smarter Visual Inspection Automation
These solutions combine Al, automation, and deep learning to transform traditional and manual inspection processes.
Vision Assist – AI-Assisted Human Inspection
A programmable image-capturing system that enhances manual quality control with automated defect detection and real-time analysis.
Automated 2 Axis Control Inspection
3 Axis Control for Manual Assembly and AI Assisted Inspection
Automated 2 Axis Control Inspection
Automated Inspection System with Camera
Large part Vertical Inspection System
Vision Command – AI-Driven Oversight for Manufacturing
A real-time AI-powered command center for defect detection, compliance tracking, and production optimization.
Vision Copilot – AI for Data Science & Model Development
An intelligent AI platform for building, refining, and deploying computer vision models with data curation, labeling, and analysis.
AI-Powered Quality Inspection Built for Your Industry
Smarter Defect Detection & Data Insights for Every Sector
Manufacturers & Production Teams
Automate inline and manual inspection to reduce defects and scrap rates while ensuring real-time quality control without disrupting production lines.
Explore Vision CommandQuality Control & Compliance Managers
Detect defects, anomalies, and inconsistencies before they impact customers while maintaining audit-ready inspection logs for compliance and regulatory requirements.
Explore Vision AssistAI & Machine Learning Teams
Accelerate model development and training with automated data curation, labeling, and synthetic data generation, ensuring higher-performing AI models.
Explore Vision CopilotAutomation & Industrial Engineering Teams
Seamlessly integrate AI-powered inspection into production workflows, enhancing efficiency and defect detection while keeping operations running smoothly.
Explore Vision CommandVP of Quality
Improve product reliability, reduce defects, and optimize efficiency with AI-powered anomaly detection, ensuring higher yield and consistent quality at scale.
Explore Vision AssistData Scientists & AI Engineers
Curate, train, and refine computer vision data & models with advanced AI-driven tools for better accuracy, edge case identification, and real-world deployment.
Explore Vision CopilotAI-Powered Inspection & Visual Intelligence for Every Industry
AI-Powered Inspection for Medical Devices: Ensuring Precision & Compliance
- 40% reduction in defect rates through real-time AI-powered visual inspection.
- Automated compliance tracking for stringent regulatory requirements.
- Improved consistency and accuracy, reducing reliance on manual inspection.
The company’s in-line inspection system, efficient but inaccurate, fell short despite repeated model tuning. Real-world production conditions and a rigid, speed-focused approach caused incorrect part flagging, posing a challenge in balancing speed without sacrificing accuracy or risking defective product shipments.
This medical device company implemented Akridata to boost accuracy and efficiency in assembly line inspections.
RESOURCES
Manual vs Automated Inspection Quality Control: Why Automated Inspection is the Future of Manufacturing
In today’s competitive manufacturing landscape, the debate around manual vs. automated inspection is more relevant than ever. While many production lines have adopted inline inspection automation, manual quality control still plays a central role—though not without its limitations. Manual inspection, or manual quality control, is used by dozens of industries,
A Beginner’s Guide to Non-Maximum Suppression in Object Detection
Introduction In the world of computer vision and object detection, precision is key. Whether it’s for quality control in manufacturing, autonomous driving, or medical imaging, detecting objects accurately is the first step in automating real-world processes. But sometimes, the detection system might produce redundant or overlapping bounding boxes for the
Transforming Medical Device Manufacturing with AI-Driven Automated Inspection for Quality Control
Medical devices must meet the highest quality standards to meet patient safety concerns. This means devices must be effective, defect-free, and minimize patient harm. For manufacturers, medical devices must also display consistency and conformity in performance and manufacturing while meeting current regulatory compliance. With AI-driven automated inspection tools, all of
FAQs
AI-powered visual inspection uses computer vision and machine learning algorithms to detect defects, anomalies, and quality issues in real time. Akridata’s platform processes multimodal inputs—such as images and videos—from production lines to identify deviations with high accuracy, reducing reliance on manual inspection.
Transform your AI Visual Inspection Process Today
