We fully automate industrial inspection processes – for maximum safety, precision and control of manufactured components.
Combining 2D and 3D sensor technology to detect even the smallest deviations in real time – intelligently and fully automated.
Reduces costs, minimizes scrap and increases process reliability.
Intelligent Inspection Systems for Highest Quality Demands
The system inspects fully automatically based on reference parts.
Integration into existing production lines is simple and efficient.
2D and 3D sensors capture deviations in shape, length and surface with highest accuracy.
Optionally connected to the cloud –
as needed.
Compact stand-alone solution for 100% inspection of fasteners. Designed for maximum autonomy and rapid ROI.
Parts are supplied by the customer’s feeder system and enter the inspection station.
Two Basler cameras capture head and shank.
The Jetson AGX Orin processes image data in real-time and decides autonomously: OK or NOK.
Automatic sorting of OK parts and rejected parts.
The system was developed for practical industrial use. The focus is on easy maintenance and fast setup times.
Increasing production volumes, greater variant diversity, and the growing shortage of skilled labor are pushing manual quality control to its structural limits. Classic random sampling or labor-intensive processes can hardly scale under these conditions.
This system reliably automates quality inspections, reduces manual dependencies, and autonomously integrates into existing lines – without compromising production logic.
Our Leadership Team
Experts with passion and vision.
Daniel Klapka is an experienced entrepreneur with many years of expertise in building and leading technology-oriented companies. With an academic background in engineering and asset management, he combines deep technical understanding with entrepreneurial vision and strategic competence.
In his role as CEO of Waywiser Technologies, he is responsible for advancing a company that sets new standards in artificial intelligence and industrial high technology. His focus is on transforming complex technical systems into market-ready, scalable solutions and creating long-term value for industrial partners.
Under his leadership, the company has stood for precision, progress, and reliable high-tech innovation for nearly a decade.
Antonia Sommer is an experienced operations leader with proven expertise in managing complex processes and building scalable high-tech organizations. She combines analytical thinking with operational precision and specializes in developing efficient business processes in technology-driven companies.
As COO of the Waywiser Technologies, she is responsible for the company's operational excellence. Her focus is on designing structured processes, optimizing internal workflows, and ensuring smooth collaboration between engineering, operations, and strategic execution.
With her deep understanding of innovative technologies and organizational efficiency, she ensures that Waywiser Technologies operates reliably, scalably, and future-proof—even in the demanding environment of artificial intelligence and industrial high technology.
Kai Bredow is the CTO of Waywiser Technologies and is responsible for the technological advancement of the company's AI systems. With an academic background in information technology from the Karlsruhe Institute of Technology and deep expertise in software architectures and algorithmic systems, he plays a key role in shaping technological excellence at Waywiser Technologies.
His expertise includes the development of scalable software solutions, data-driven models, and intelligent systems that reliably address complex industrial requirements. With many years of experience in analyzing, evaluating, and optimizing technological processes, he ensures that the products meet all quality and innovation standards.
In doing so, he provides the technological foundation for Waywiser Technologies to continuously set new benchmarks in AI-driven industrial automation.
Arman Dehghan leads the engineering division of Waywiser Technologies as Head of Engineering and is responsible for the technical development of highly complex AI-powered quality control systems. With an academic background in electrical engineering from the Technical University of Munich, he combines deep engineering expertise with precise technological execution.
His focus is on developing scalable hardware and software architectures, integrating intelligent sensor systems, and ensuring technical excellence across all development phases. Under his leadership, robust and innovative solutions are created that meet the demanding requirements of industrial high technology and ensure long-term technological stability.
Precise Defect Detection. Clear Answers.
Technical details of AI-driven quality control in industry.