Making Industries Pro²Future

Empowering Humans with Cognified and Sustainable Products and Production Systems

As a COMET competence centre, we conduct research into resilient, energy-efficient and human-centered solutions that make everyday industrial life smarter, safer and more sustainable. Through strong partnerships with industry and science and a clear focus on knowledge and technology transfer, we are paving the way for a cognified and sustainable future of production.

Pro²Future Overall Areas, AI-generated ContentAI-generated SymbolAI-generated

How to partner with us

We provide an ecosystem for applied research and innovation.

From joint research projects and scientific exchange to research stays and supervision of academic work with international universities.

Applied research on industrial topics; collaborative work from idea to practical implementation throughout the entire product life cycle.

We build long-term partnerships that strengthen regional innovation, support international success and help educate and develop future talents.

We offer an ultimate environment for collaborative projects (industry, SMEs, startups, universities, research institutions) and provide application-driven results for mission-oriented initiatives and innovation programs.

Research with Impact - Your Career at Pro²Future

You want your work to make a real impact and not just stay within the lab? At the intersection of science and industry, you’ll work at Pro²Future on forward-looking topics such as Artificial Intelligence, digitalization and sustainable production. Together with leading industrial partners, you’ll develop data-driven solutions, test innovative algorithms and receive direct feedback from real-world applications. Whether it’s human-machine interaction, smart products or process optimization – with us, you drive genuine innovation.
Whether you’re pursuing a PhD, internship or research position – we offer challenging projects, flexible structures and an inspiring research environment where your ideas truly matter.

About Pro2Future GmbH

Pro²Future is working on the goals and results of the digital transformation and conducting research for industrial implementation in the period thereafter. As a non-university COMET research centre with locations in Linz and Graz, we are working on the next generation of cognitive products and production systems.

Our mission is to cognify industries
by developing resilient, energy-efficient and human-centered solutions that directly address everyday challenges.

Further information can be found here:

Projects

VAPS

VAPS

Visual Analytics for Production Systems

The objective of the project is to develop a prototype for an online visual analytics application. To achieve this goal,…

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GUIDE

GUIDE

Guidance and Assistance

GUIDE will investigate novel worker context recognition, assistance and guidance technologies for use in the manufacturing- and production setting. The…

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CompEAS-HW

CompEAS-HW

Compositional Embedded Automotive System Hardware

The execution of software has a significant impact on various runtime characteristics of the hardware. Software critically influences the energy…

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WorkIT

WorkIT

Workflow and Tool Process Modelling

The vision of WorkIT is to establish cognitive capabilities in today’s conventional products (e.g. power tools or machines). To achieve…

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CompEAS-BSW

CompEAS-BSW

Compositional Embedded Automotive System Basic Software

Embedded systems for vehicles are still implemented in a strictly static way: The individual functions are first implemented and tested…

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EPCOS 1

EPCOS 1

Maintenance 4.0 @EPCOS OHG, Preparation & Ex-Post Analysis

The predictive maintenance systems are built upon is a clear definition of defects and the corresponding approaches to address them.…

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recAIcle

recAIcle

recAIcle: Recycling-oriented collaborative waste sorting by continual learning

Waste contributes significantly to greenhouse gas emissions. As economic growth is the main driver for increased waste generation, a decrease…

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DERELE

DERELE

Deep Learning Based Reconstruction for Linear Edifices

Machine learning-based detection of geometric shapes has emerged as a rapidly expanding research field, with significant attention currently directed towards…

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Key Facts*

360+

Publications

45+

Finished & running PhD Theses

167+

Nominations in international Boards

49+ M€

Cumulated project volume

25+

Patents & Patent filings

95+

Scientific & Industry Partners

*as of March 31, 2026

Team