AI-Powered Visual Inspection.
Smarter, Faster, Accurate.
The Complete AI Vision 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 Solutions for Smarter Visual Inspection
VisionAssist – AI-Assisted Human Inspection
A programmable image-capturing system that enhances manual quality control with automated defect detection and real-time analysis.
VisionCommand – AI-Driven Oversight for Manufacturing
A real-time AI-powered command center for defect detection, compliance tracking, and production optimization.
VisionCopilot – 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 VisionCommandQuality Control & Compliance Managers
Detect defects, anomalies, and inconsistencies before they impact customers while maintaining audit-ready inspection logs for compliance and regulatory requirements.
Explore VisionAssistAI & Machine Learning Teams
Accelerate model development and training with automated data curation, labeling, and synthetic data generation, ensuring higher-performing AI models.
Explore VisionCopilotAutomation & Industrial Engineering Teams
Seamlessly integrate AI-powered inspection into production workflows, enhancing efficiency and defect detection while keeping operations running smoothly.
Explore VisionCommandVP of Quality
Improve product reliability, reduce defects, and optimize efficiency with AI-powered anomaly detection, ensuring higher yield and consistent quality at scale.
Explore VisionAssistData 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 VisionCopilotAI-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
The ROI of Automated Inspection in Manufacturing
With the recent major advancements in AI and machine vision technologies, the appeal of using high-accuracy automated inspection systems to improve manufacturing quality control is quite clear. But, are the up-front implementation costs worth it? When evaluating whether or not AI inspection technology is right for your production process, it’s
5 Ways Automated Inspection is Transforming Critical Component and Medical Manufacturing
Manufacturers of medical devices and critical components consistently struggle with quality control. An over-reliance on manual inspection — and the inherent human error that comes along with it — regularly leads to both financial and environmental waste, as well as potential harm to consumers and to the manufacturer’s brand reputation.
Understanding Model Evaluation Metrics for Image Classification
Introduction Image classification is a fundamental task in computer vision with applications in medical imaging, autonomous driving, security, and e-commerce. As deep learning models advance, evaluating them correctly ensures reliability, minimizes errors, and enhances real-world performance. Many data scientists rely on accuracy as the primary evaluation metric. However, accuracy can
Transform your Quality Inspection Today
