Heliac Solar Thermal
Lenses & systems producing high-temperature solar-generated heat in utilities-scale at costs below natural gas anywhere.
A new approach to global carbon reduction and human health by optimizing building operations.
Enerbrain Air monitor
A complete solution consisting of independent modules for real-time analysis of environmental data, remote energy management and control of buildings.
PAOS organic toothpaste
Organic toothpastes tabs, zero waste and easy to use to help people change their habits in a fun way !
Magna Glaskeramik Slabs
A C2C performance Circular Economy material for interior design, architecture and to replace the use of Earths Resources (natural stone) by wastestream.
An industrial composite smart wall custom made for each project.
A mobile modular solar microgrid solution that overcomes the limitations of traditional solar and diesel installations.
A paper surface treatment to replace single-use plastic.
Low Sulphur Fuels
Low Sulphur Fuels [LSF] Ltd produces very low sulphur fuels and refinery ready Naphtha from ‘end of life’ hydrocarbons or used oils, tyres and plastics.
Off-grid sustainable sanitation
Waterless flush toilets and sanitation solutions for everyone, everywhere
A compact and cost-efficient treatment of wash water from exhaust gas cleaning of large vessels according to international legislation
Electric boat powered by solar energy to remove floating garbage in port and bathing areas
RAW Paints does not use water in the production process nor in the transport; you add water when ready to paint.
An anti-waste solution in collective catering to know in advance the affluence and the choice of the guests.
DISIRE Horizon 2020
Integrated Process Control Based on Distributed In-Situ Sensors Into Raw Materials and Energy Intense Processes
New Energy Opportunities (NEO) Network
Accelerates global new energy opportunities through a community of organizations advancing renewable energy and cleantech solutions
Vessel Energy Fuel Efficiency
The data gathered from embedded sensor is analysed with machine learning to reduce the EEOI (Energy Efficiency Operational Indicator) and CO2 emissions.