Predicting High Growth Firms

Our machine learning (ML)-based solution addresses the challenge of predicting high-growth firms (HGFs) by analyzing extensive data sets through sophisticated ML models. This helps deliver more precise forecasts, ultimately empowering investors and stakeholders to make well-informed decisions. Moreover, our algorithm can deduce the optimal managerial actions that could help the firm achieve high growth in the future based on its own current resources and actions. Hence our solutions also contribute in promoting the proliferation of HGFs and improve economic growth.

Improvements in the arts and performing industry

BEAN AID

Event Organizing

Renewable Energy Storage Systems

Liquid Air Energy Storage (LAES) is a type of energy storage system that uses liquefied air to store energy. The process involves taking air from the environment, compressing it and cooling it to produce a liquid form that can be stored in insulated tanks. When the energy is needed, the liquid air is warmed and allowed to expand, driving a turbine to generate electricity. LAES has the potential to be used in the Netherlands to provide a stable renewable price, reduce grid tension, and help provide a payback system for those priced out of the personal renewables market.

Coming soon!

App for reducing food wastage

IP-Car

TBD