Akridata Named a Vendor to Watch in the IDC MarketScape for Worldwide Data Labeling Software Learn More
Delayed inspections lead to failures and costly downtime.
Proactively identify issues before they escalate.
Akridata applies computer vision and deep learning to monitor infrastructure assets, detecting wear, defects, or potential failures in real time.
Traditional methods struggle to provide continuous and accurate monitoring of critical assets.
Improve monitoring accuracy and speed.
Akridata enables real-time data collection and analysis, ensuring continuous asset monitoring with minimal human intervention.
Critical infrastructure must perform consistently under extreme conditions.
Enhance reliability and safety across all systems.
Akridata utilizes advanced AI models trained on synthetic and real-world data to predict and prevent failures.
A major utility company implemented Akridata’s AI solutions to enhance asset monitoring and maintenance. With real-time defect detection and predictive maintenance, they reduced downtime by 40% and achieved substantial cost savings.