AI-supported image analysis
Critical Manufacturing takes over Convanit
Critical Manufacturing, a provider of Manufacturing Execution Systems (MES) solutions, has announced the acquisition of Convanit - an artificial intelligence company specializing in image-based analytics in high-tech manufacturing.
The acquisition represents a strategic step towards the functional expansion of Critical Manufacturing's data platform. With 'c-Alice', Convanit offers an image classification engine specifically designed for complex industrial environments. The solution enables manufacturing companies to create and implement custom AI models for visual inspection in the shortest possible time, without the need for specialized knowledge of programming or data science.
"Manufacturing companies are under increasing pressure to deliver higher quality in less time while ensuring complete traceability. Yet visual data remains largely underutilized in manufacturing," explains Francisco Almada Lobo, CEO of Critical Manufacturing. "By integrating Convanit's advanced AI-powered image analytics into our platform, we are empowering our customers to transform unstructured image data into actionable, contextual information in a completely new way. This acquisition is therefore an important building block in our vision of true data-driven manufacturing in the concept of Industry 4.0."
With the integration of c-Alice, industrial users of Critical Manufacturing's data platform can seamlessly capture, classify and analyze image data in the context of real-time process data, automate their defect detection and trigger real-time non-conformance alerts at all stages of production, integrate image information directly into MES workflows, traceability protocols and quality reports, and provide scalable, low-latency AI models for continuous in-line operations.
The intuitive user interface of c-Alice, developed by Convanit, is designed for a wide range of user profiles - from quality assurance to process engineering - without the need for programming skills. This openness promotes the use of AI in individual production teams and enables a 'democratization' of data science, so that virtually any user can take over the development and refinement of models themselves.
"We developed c-Alice to make visual AI as simple, flexible and effective as possible for manufacturing companies," explains Convanit co-founder Michael Meinel.










