Noreja, a Vorarlberg, Austria-based startup offering AI-powered process intelligence, has closed its €1.1 million funding round to invest in growth and expand its sales, marketing, and customer success teams.
The company secured this funding from both existing and new investors and partners, including Markus Neumayr, Jan Sprengnetter, Prof. Martin Kaiser, and Gordana McNamara. Going forward, McNamara will support Noreja as an advisor specialising in go-to-market strategy and as a fractional CCO.
“With the successful completion of this funding round, we are laying the groundwork for Noreja’s next phase of growth. Together with our investors and partners, we aim to further develop our product and establish Noreja as one of the leading platforms in the field of Generative Process Intelligence,” said Noreja co-founders Dr Lukas Pfahlsberger and Dr Philipp Waibel in a joint statement.
Noreja was founded in 2021 as a spin-off of the Vienna University of Economics and Business by Dr Lukas Pfahlsberger, Dr Philipp Waibel, and Prof. Dr Jan Mendling. The company helps organisations identify process weaknesses more effectively, better understand complex interdependencies, and make optimisation potential visible with precision, based on knowledge graphs and AI.
The startup strives to create the most advanced process intelligence solution available. It emphasises that its technological foundation relies on knowledge graphs, which AI uses to enhance understanding of business processes and provide analyses of weaknesses, inefficiencies, and optimisation potential. AI agents then take over optimisation tasks autonomously. Noreja calls this approach Generative Process Intelligence.
Its platform comprises a dashboard, analyser, Minerva and workbench. The Dashboard combines different widgets so users can capture volume, times, variants, deviations, and developments.
The analyser acts as the user’s interactive workspace for the examination of every process step. Minerva, the company’s context-sensitive AI assistant, connects process data with additional knowledge such as SLAs, organisational rules, or external influences, delivering answers that go beyond classic Event Logs.
Builder, which serves as the control centre for every analytical foundation: Here, users can connect data sources, model events, and define dimension logic that later powers dashboards, analyser, and AI features.
And Workbench, which serves as the users’ technical laboratory: a fully integrated Jupyter Notebook directly on the Noreja Knowledge Graph. Data scientists, engineers, and analysts can work here with Python as if they were in their familiar notebook environment, only directly on the graph database.
Read the orginal article: https://www.eu-startups.com/2026/04/austrias-noreja-closes-e1-1-million-round-to-scale-ai-powered-process-intelligence-platform/
