AI-Powered Visual Inspection.
Smarter, Faster, Accurate.
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.
Data 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
How AI-Powered Visual Inspection Reduces Batch Rejections in Medical Device Manufacturing
In medical device manufacturing, quality isn’t just a benchmark — it’s a life-critical standard. Medical devices, particularly surgical and implantable devices, demand near-zero defect tolerance. Even the smallest flaw can trigger downstream consequences: from failed procedures and hospital brand-switching to FDA oversight that can last months. Yet, despite stringent quality
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
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
