
FINDIQ
Whether for mechanical engineers, operators or service providers, FINDIQ develops its service solution alongside the industry.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor investor investor investor investor investor | €0.0 | round | |
N/A | Seed | ||
Total Funding | 000k |
Related Content
FINDIQ GmbH, a German B2B technology startup, was founded in 2022 by Sina Kämmerling (now Volkmann), Tommy Giesbrecht, and Patrick Deutschmann. The company is headquartered in Herford, a town in the industrial region of Ostwestfalen-Lippe.
The founding team combines industry experience with technical know-how. Sina Volkmann, the CEO, has a background that includes experience at the Founders Foundation and UNITY. This blend of experience has been pivotal in developing a solution tailored to the specific needs of the industrial service sector.
FINDIQ operates on a Software-as-a-Service (SaaS) business model, targeting machine builders, operators, and service providers. The company addresses the challenge of knowledge retention and transfer in an industry facing a generational shift and a shortage of skilled workers. The core of FINDIQ's offering is a software platform designed to digitize and centralize the expert knowledge of experienced service technicians. This knowledge, often undocumented, is made accessible to all service staff through an intelligent assistance system. The platform functions as a comprehensive knowledge base, enabling less experienced technicians to diagnose and resolve issues with complex machinery efficiently. By providing structured access to troubleshooting guides, maintenance procedures, and historical data, FINDIQ helps to reduce machine downtime, improve first-time fix rates, and enhance overall operational efficiency for its clients. The company has garnered support from investors like High-Tech Gründerfonds (HTGF), which has provided pre-seed funding to support the company's growth and product development.
Keywords: B2B, SaaS, knowledge management, machine service, industrial software, expert systems, knowledge transfer, predictive maintenance, industrial automation, manufacturing technology