
ReliaSol is a spin-off from AGH University of Science and Technology that provides AI-driven predictive maintenance (PdM) solutions to optimize industrial machine and installation efficiency. Their RSIMS platform uses advanced data analysis, anomaly detection, and pattern recognition to predict machine failures, reduce unplanned downtime, and optimize maintenance costs, delivering significant financial benefits and operational improvements. The company serves industries including energy, manufacturing, chemical, petrochemical, food, oil and gas, raw materials, metals, and mining. ReliaSol combines SaaS software products with services and domain expertise to support customers through digital transformation to Industry 4.0, offering a hybrid ecosystem approach. Their solutions have demonstrated up to 100% failure prediction accuracy and have been adopted by notable clients such as Tauron Wytwarzanie and Grupa Azoty Tarnów, positioning ReliaSol as a leader in predictive maintenance for smart factories.

ReliaSol is a spin-off from AGH University of Science and Technology that provides AI-driven predictive maintenance (PdM) solutions to optimize industrial machine and installation efficiency. Their RSIMS platform uses advanced data analysis, anomaly detection, and pattern recognition to predict machine failures, reduce unplanned downtime, and optimize maintenance costs, delivering significant financial benefits and operational improvements. The company serves industries including energy, manufacturing, chemical, petrochemical, food, oil and gas, raw materials, metals, and mining. ReliaSol combines SaaS software products with services and domain expertise to support customers through digital transformation to Industry 4.0, offering a hybrid ecosystem approach. Their solutions have demonstrated up to 100% failure prediction accuracy and have been adopted by notable clients such as Tauron Wytwarzanie and Grupa Azoty Tarnów, positioning ReliaSol as a leader in predictive maintenance for smart factories.
What they do: AI-driven predictive and prescriptive maintenance (RSIMS) for industrial assets
Founded: 2014 (spin-off from AGH University of Science and Technology)
Headquarters: Kraków, Poland
Recent investment: April 2022 — PGNiG Ventures and Tangent Line Ventures (EUR 2M round)
Customers / sectors: Energy, manufacturing, chemical, petrochemical, food, oil & gas, raw materials, metals, mining
Predictive maintenance and asset performance optimization for industrial machinery and installations.
2014
Data and Analytics
EUR 2,000,000
Investment by PGNiG Ventures and Tangent Line Ventures (reported split 50/50)
Earlier funding round listed in records (details obfuscated in available data)
“Company has received venture and corporate VC investment (investors include EEC Ventures, Giza Polish Ventures, ICOS Capital Management, KPT Scaleup, National Center for Research & Development, PFR Ventures, PGNiG Ventures, Tangent Line Ventures, Tauron Group)”