Company Name:


Incubation Round:


Application Track:

Track 1

Proposed by:


Data Provider:


Challenge Name:

Heating Demand Prediction Using Sensory and Event data

Product Description

Based on the data acquired during the building exploitation, HEATwin will automatically create the most adequate predictive models of the internal energy production and consumption, which will enable simulation of the data chain for any hypothetic operation plan.

The results obtained from the simulations, along with all other micro-grid features and external factors, will be subjected to an optimization process in order to find the energy management pattern that will result with the most economical usage of energy under the given conditions. Creation of predictive models is performed by our existing automated machine learning (AutoML-MLops) platform, Blackfox. Daily optimization of operation plans relies on OSICE, our service for optimization in Cloud environment.

This solution will be offered to end users in the form of SaaS, thus enabling them to optimize energy savings without investment in scarcely available data science and optimization experts, or in the necessary computing infrastructure.

Usage of Standards for data interoperability:

HEATwin supports modern industry standards for the entire life cycle of generated models. Starting from tracking model versions, through storing them in the registry, all the way to serving over HTTP, the entire pipeline is compatible with MLFlow, de-facto industry standard for MLC. Moreover, model metrics are available both through the MLFlow interface and through Blackfox custom interface.

Reach Timeline

*Expose phase is open to all Experiment phase teams


Kragujevac, Serbia


Energy | Manufacturing / Industry


Company maturity:

Pre-MVP and MVP, Live funding and product-market fit

Investment level:


Funding raised:

< EUR 500,000

Collaboration opportunity:

Company Description

Vodéna is an innovative company committed to transforming the ICT industry. Vodéna was founded in 2015 as a spin-off from the Faculty of Science, University of Kragujevac, Serbia. Founder and CEO of the company is Boban Stojanovic, PhD, the associate professor at the Faculty of Science, University of Kragujevac. Vodéna focuses on R&D activities with its primary interest in software development for physical and data-driven modeling as well as simulation and optimization of both social and natural phenomena. We have developed a number of software solutions including general data management, hydrological modeling and simulations, power production optimization and data visualization, operational in the field of hydro-power industry. Our beginnings in the field of Artificial Intelligence are related to the development of a dam safety system, which was developed for our client. DEVONNA – Dam health assessment tool based on evolving neural networks, was a finalist of the “VERBUND Innovation Challenge 2017” (in “Neural networks in power plants” category), organized by one of the largest European hydropower companies. As an innovative and prospective solution, DEVONNA has also received Seal of Excellence from European Commission.

Boban Stojanović, PhD - Founder and CEO

Founder and CEO of Vodena, and professor at the Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac, Serbia.

Miloš Ivanović, PhD - Co-Founder and CTO

Co-Founder and CTO of Vodena, and professor at the Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac, Serbia.

Miroljub Krstić - Business development manager

Business development manager at Vodena. More than 15 years of experience in business and in bringing new ideas to life.