
RESONIKS
Develops AI‑powered acoustic resonance testing systems to detect structural defects in metal parts for manufacturing quality control.
- B2B
- saas
- manufacturing
- commission
- subscription
- semiconductors
- enterprise software
- artificial intelligence
- hardware
- deep tech
- machine learning
- dt and ls
- horizon europe
- sustainable development goals
- climate tech
- core ai
- ai applications
- testing
- supply chain management
- circular economy
- industrial technology
- waste reduction
- slush24
- industrial automation
- manufacturing
- manufacturing tech
- industrial iot
- inspection
- supply chain tech
- quality management
- acoustics
- digitalisation
- nondestructive testing
- material characterization
Date | Investors | Amount | Round |
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- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | €1.2m | Seed | |
Total Funding | 000k |
USD | 2023 |
---|---|
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
Related Content
Resoniks provides advanced quality control solutions for the metalworking industry through its proprietary AI-powered acoustic analysis technology. Founded in 2021 by Christian Papsch, Felix Wassmann, and Fabian Seuthe, the company emerged from the 'Start-up factory' at the University of Paderborn. The founding team combines expertise in IT, acoustics, and business, with Christian Papsch having a background as an IT specialist, Felix Wassmann focusing on acoustics and simulation, and Fabian Seuthe bringing experience in business development. This collective expertise addresses the limitations of traditional, manual quality inspection methods in metal production, which are often subjective and inefficient.
The core of Resoniks' offering is a system that analyzes the acoustic response of metal components to detect structural defects like cracks, pores, and blowholes. The process involves tapping a component to generate a sound, which is then captured and analyzed by the company's AI software. This method converts sound patterns into actionable data, providing an objective and efficient alternative to manual inspection. The system is designed to be integrated into existing production lines, serving clients in sectors such as automotive, aerospace, and general manufacturing who require high standards of quality assurance. Resoniks operates on a B2B model, offering its technology to metalworking companies to help them increase employee efficiency, reduce the costs associated with manual inspections, and minimize scrap rates.
Keywords: acoustic analysis, quality control, defect detection, metalworking, AI software, non-destructive testing, industrial manufacturing, production efficiency, material inspection, automotive components