Deeplify provides AI-driven inspection software that digitizes and automates non‑destructive testing workflows for asset owners and service providers. The platform integrates data from radiographic, ultrasonic and other inspection methods, delivering faster defect detection, automated reporting, and audit‑ready data management. Continuous AI retraining improves prediction accuracy, reducing analysis time by up to 70% and enhancing operational safety.
Funding
Funding not disclosed
Founders
Product
Problem
Non-destructive testing (NDT) relies on manual evaluation, which can be slow, inconsistent, and prone to human error. Existing NDT processes often lack efficient data management and real-time analysis capabilities, hindering timely decision-making and increasing operational costs.
Solution
Deeplify offers an AI-powered platform that automates the entire NDT software cycle, from data archiving to real-time evaluation and decision-making. The platform enables testing companies to develop tailored inspection systems using their own sensor data, enhancing defect detection and operational efficiency. By leveraging AI detection algorithms and DICONDE data archiving, Deeplify facilitates faster integration, improved metrics, and enhanced safety in the assessment of critical components. The system learns in a digital twin environment before processing real-world data, leading to improved performance and safety.
Target Audience
Deeplify targets NDT testing companies seeking to automate their processes, improve defect detection rates, and enhance operational efficiency.
Features
- AI-powered detection algorithms tailored for NDT sensor data
- Real-time evaluation and analysis of NDT data
- DICONDE data archiving for comprehensive data management
- Digital twin environment for AI model training and optimization
- End-to-end support from data management to production deployment
- Fast integration and certification within weeks
- Customizable inspection systems using existing sensor data