ORLEN launches 15th call for startup applications

The challenges for this round address a broad spectrum of business needs identified by ORLEN Group companies, including:

• autonomous catering solutions,
• energy management systems for energy communities,
• analytical tools for monitoring low-voltage grid conditions based on remote meter data,
• AI and thermal imaging-based detection of residual fuel in road tankers.

“The ORLEN Skylight Accelerator programme is structured so that startups can immediately move into practical testing. We offer tech companies the opportunity to run pilot projects, for which they receive compensation, as well as access to real-world data and support from our specialists and industry experts. We are committed to fostering the development of innovative technologies and achieving as many successful commercial deployments as possible, all validated by prior testing. In a world where many accelerator programmes conclude with presentations, it's increasingly crucial to focus on what happens after the demo day. At the ORLEN Skylight Accelerator, pilot projects are truly at the heart of our entire process,” said Łukasz Kopeć, Head of Innovation at ORLEN.

In previous editions of the programme, more than 900 startups from Poland and abroad have submitted applications, over 300 challenges have been announced, and 40 companies have been selected to run pilot projects.

Among these was a Spanish startup, Inprocess, which, in collaboration with ORLEN’s Płock team, developed a digital twin for a selected section of the production plant. By using advanced modelling and process analytics, they identified areas for operational efficiency improvements of up to 10%. Importantly, this solution can be replicated across other industrial units, which significantly enhances its scalability within the organisation.

Meanwhile, Supplai, a startup from the Netherlands, has developed a system for automatic identification of markings on rail tankers. This solution has significantly reduced deliveries handling times and lowered the risk of fines associated with marking irregularities. Implementing this system can deliver measurable annual savings and substantially enhance railway logistics safety.

In collaboration with Polish technology startup Anzonia, ORLEN has also piloted a data-refining tool for refinery process data. The resulting predictive models allow more accurate forecasting of production processes, reducing raw material usage and improving process efficiency.

Startups interested in participating can submit their solutions until 28 July. For more information and to access the application form, visit the “Innovations” section on the ORLEN website at www.orlen.pl.