Voith

Voith is a German manufacturing company headquartered in Heidenheim an der Brenz, specializing in machines and equipment for the pulp and paper industry, as well as technical systems for hydropower plants and drive and braking solutions. Founded in 1867, this family-owned enterprise operates globally and is committed to providing innovative products and services that enhance machinery, automation, and efficiency while considering environmental impact and safety management. Voith serves a diverse range of markets, delivering comprehensive industry solutions that support and develop operational capabilities across various sectors.

Stefan Kampmann Ph.D

Member of the Corporate Board of Management, CTO

4 past transactions

Yangi

Venture Round in 2023
Yangi develops dry-forming machine lines for producing fiber-based packaging. They offer turnkey production systems and comprehensive support using airlaid and 3D thermoforming technology, enabling clients to manufacture eco-friendly packaging with lower emissions and reduced water and energy consumption.

Argo-Hytos

Acquisition in 2022
Argo-Hytos is a manufacturer specializing in hydraulic systems and components, primarily serving the off-highway sector comprising agricultural machinery, construction equipment, and conveyor vehicles. The company produces hydraulic valves, control blocks, filter systems, power packs, diagnostic systems, condition sensors, and particle counters, facilitating fluid motion control and oil maintenance for diverse industrial applications.

Vernaio

Series A in 2020
Vernaio maximizes operational efficiency for enterprises using its distinct AI technology, aivisĀ®. This autonomous solution rapidly identifies complex patterns in process data, improving R&D speed and manufacturing uptime without requiring data preparation or expertise in data science.

Vernaio

Series A in 2019
Vernaio maximizes operational efficiency for enterprises using its distinct AI technology, aivisĀ®. This autonomous solution rapidly identifies complex patterns in process data, improving R&D speed and manufacturing uptime without requiring data preparation or expertise in data science.
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