European Innovation Council

FaradaIC Sensors focuses on developing miniaturized gas sensors aimed at enhancing dioxygen detection capabilities for electronic devices. By employing standard microfabrication techniques, the company effectively reduces both the size and power consumption of its sensors, leading to lower production costs. This innovative approach allows for the commoditization of gas sensors, making them accessible and affordable for a variety of Internet of Things applications. FaradaIC Sensors is positioned to capitalize on the growing demand for flexible and cost-effective gas sensing solutions in the expanding IoT market.

QuantWare is a leading provider of quantum hardware, specializing in scalable quantum processors designed to enhance computational capabilities. The company has developed the VIO QPU scaling technology, which serves as a platform for various qubit designs, facilitating the development of quantum computers with the potential to exceed one million qubits. QuantWare operates under the Quantum Open Architecture paradigm, supplying fully packaged quantum processing units (QPUs) and offering Foundry and Packaging Services to clients in 20 countries across four continents. Its innovative 3D-dimensional chip architecture enables customers to build connected and scalable quantum systems, aimed at addressing complex challenges in fields such as climate and life sciences.

Turing College operates as an online educational institution specializing in data science. It offers courses suitable for individuals of varying skill levels and employs an income share agreement model, allowing students to defer payment until they secure employment. The college collaborates with tech companies to co-create its curriculum, providing these partners with real-time student performance updates to facilitate expedited hiring decisions.

Hideez is a cybersecurity company that specializes in manufacturing hardware and providing services for secure authentication. Based in the USA and Ukraine, the company offers the Hideez Key, a hybrid device combining wireless authentication, password management, and access control for both physical and digital environments. This multifunctional key uses encrypted Bluetooth, RFID, and NFC technologies, and supports various authentication standards, making it a versatile and secure solution for managing user credentials.

Aldoria specializes in space situational awareness, focusing on the collection, processing, and utilization of data to protect critical assets in space. The company addresses the growing challenges of space sustainability caused by increasing amounts of space debris and traffic. Its services encompass the detection, tracking, cataloging, and risk assessment of artificial satellites and space debris. By actively monitoring these elements, Aldoria helps operators and space organizations avoid potential hazards and adjust orbital paths, ultimately contributing to safer and more sustainable space operations. The company also provides users with a modern situational awareness platform and detailed sustainability reports.

UPMEM is a fabless semiconductor company focused on enhancing the performance of data-intensive algorithms through its innovative Processing-In-Memory (PIM) solution. This technology addresses the limitations of traditional server architectures, which are hindered by data movement inefficiencies. By deploying a large number of programmable co-processors close to the data, UPMEM's platform accelerates performance for analytics and artificial intelligence applications by more than ten times. This unique approach not only improves computational speed but also reduces energy consumption and hardware footprint in data centers, making it an attractive solution for major application developers and cloud service providers.

UPMEM is a fabless semiconductor company focused on enhancing the performance of data-intensive algorithms through its innovative Processing-In-Memory (PIM) solution. This technology addresses the limitations of traditional server architectures, which are hindered by data movement inefficiencies. By deploying a large number of programmable co-processors close to the data, UPMEM's platform accelerates performance for analytics and artificial intelligence applications by more than ten times. This unique approach not only improves computational speed but also reduces energy consumption and hardware footprint in data centers, making it an attractive solution for major application developers and cloud service providers.

Sensoneo is a provider of advanced smart waste management solutions that assist cities and businesses in managing waste more efficiently and sustainably. The company utilizes proprietary ultrasonic sensors to monitor waste levels in real-time, coupled with sophisticated software that facilitates data-driven decision-making and optimizes waste collection processes. This technology enables significant reductions in waste collection costs, with improvements in operational efficiency and a potential decrease in carbon emissions. Sensoneo's solutions have been implemented in various locations across Europe, North America, South America, the Middle East, Australia, and New Zealand, attracting a diverse range of clients seeking to enhance their waste management practices. By automating the waste lifecycle and promoting eco-friendly initiatives, Sensoneo aims to transform traditional waste management into a more transparent and responsible process.

The Intelligence Behind Global Circularity VCG.AI transforms industrial by-products and waste into valuable resources. AI-powered development of circular economy business models with the latest technology, material, market, and regulatory insights. Their proprietary AI solution, the Value Chain Generator®, helps companies, cities, and regions accelerate the transition to a circular economy, through Valorisation of By-products and Waste, Circular Product Development, Regional Circular Opportunities Assessment. When organisations want to better valorise by-products and waste, develop or source circular materials, or enhance circularity in their value chains, VCG.AI analyses thousands of data points to deliver the optimal solution tailored to their specific needs and locations. What once took months or years can now be achieved in just weeks—without the need to hire additional technology or bioeconomy experts. VCG.AI’s ever-expanding system includes: - 650+ validated circular solutions - 150+ different proven valorisation technologies - 3.5 M companies - 4M tons of project-ready organic residuals across Europe VCG.AI is on a mission to accelerate the transition to a circular economy by unlocking circular opportunities for businesses worldwide. Learn more about them at www.vcg.ai.

nyris GmbH is a Berlin-based company that specializes in a visual product search platform, catering to various industries such as retail, e-commerce, industrial, manufacturing, media, entertainment, and financial services. Established in 2015, nyris focuses on providing a more intuitive search experience by allowing users to find products and objects in images and videos through advanced technologies like artificial intelligence and neural networks. This platform is designed to enhance efficiency by delivering search results in under one second, thereby reducing the friction often associated with traditional text-based searches. With a presence in over 50 countries, nyris serves a diverse clientele, enabling them to improve discovery and operational processes. The company is backed by notable investors, including eCapital, IKEA, and Axel Springer.

Transmetrics is an advanced AI platform tailored for the supply chain sector that enhances transport planning through predictive analytics and machine learning. By integrating human expertise with artificial intelligence, Transmetrics provides significant operational benefits while minimizing the environmental impact of logistics. The platform specializes in data cleansing, demand forecasting, and network optimization, delivering highly accurate analyses and predictions of transport flows. With a strong foundation in both technical fields and logistics, Transmetrics has developed solutions that have enabled top-tier logistics companies globally to reduce transport costs by up to 25%, improve fleet utilization by up to 14%, and maintain high service standards. The company’s innovative approach has garnered support from the European Union's Horizon 2020 research and innovation program, facilitating its mission to enhance operational efficiency for cargo transport and logistics service providers.

FaradaIC Sensors focuses on developing miniaturized gas sensors aimed at enhancing dioxygen detection capabilities for electronic devices. By employing standard microfabrication techniques, the company effectively reduces both the size and power consumption of its sensors, leading to lower production costs. This innovative approach allows for the commoditization of gas sensors, making them accessible and affordable for a variety of Internet of Things applications. FaradaIC Sensors is positioned to capitalize on the growing demand for flexible and cost-effective gas sensing solutions in the expanding IoT market.

FaradaIC Sensors focuses on developing miniaturized gas sensors aimed at enhancing dioxygen detection capabilities for electronic devices. By employing standard microfabrication techniques, the company effectively reduces both the size and power consumption of its sensors, leading to lower production costs. This innovative approach allows for the commoditization of gas sensors, making them accessible and affordable for a variety of Internet of Things applications. FaradaIC Sensors is positioned to capitalize on the growing demand for flexible and cost-effective gas sensing solutions in the expanding IoT market.

Neuron Soundware develops advanced technology for machine diagnostics, leveraging artificial intelligence and machine learning algorithms to analyze acoustic signatures and other physical parameters of industrial equipment. This innovative approach facilitates early detection of potential failures, enhancing the operational efficiency of machines across various applications, including power generation, CNC machining, 3D printing, and robotics. By optimizing the performance of both individual machines and entire manufacturing lines, Neuron Soundware helps reduce operating costs, improve maintenance practices, and minimize the environmental impact of industrial production. Their comprehensive solution features IoT hardware for edge computing, web-based software for data analysis, and seamless integration capabilities, allowing for 24/7 remote data access and rapid processing of large datasets. This positions Neuron Soundware as a key player in developing sustainable technologies and processes within the manufacturing sector.

Xelera develops a big data analytics platform that facilitates the integration of advanced accelerator technology, specifically FPGAs and GPUs, into commercial applications within data centers and cloud environments. As businesses face increasing data volumes and the need for real-time analytics, Xelera's platform enables organizations to enhance their data processing capabilities. The technology allows for significant performance improvements in critical applications such as Big Data analytics, machine learning, and database management, while also optimizing energy efficiency and reducing total cost of ownership for data center operations. By providing tools that assess performance gains and cost savings associated with migrating applications to accelerator technologies, Xelera supports businesses in effectively managing large-scale IoT infrastructures and delivering faster, more efficient data analytics.

Abzu is a scientific artificial intelligence company founded in January 2018, with offices in Copenhagen, Denmark, and Barcelona, Spain. The company develops the QLattice, an innovative AI platform that aims to challenge conventional black box AI by providing transparent and explainable models. Abzu's technology is designed to assist pharmaceutical and biotech companies in accelerating drug development processes. By unlocking new disease mechanisms, discovering novel biomarkers, and validating multiple targets simultaneously, Abzu enables these companies to reduce research and development costs and enhance their discovery capabilities. Through its pioneering approach, Abzu inspires data scientists to adopt a more scientific methodology in their work.

Neuron Soundware develops advanced technology for machine diagnostics, leveraging artificial intelligence and machine learning algorithms to analyze acoustic signatures and other physical parameters of industrial equipment. This innovative approach facilitates early detection of potential failures, enhancing the operational efficiency of machines across various applications, including power generation, CNC machining, 3D printing, and robotics. By optimizing the performance of both individual machines and entire manufacturing lines, Neuron Soundware helps reduce operating costs, improve maintenance practices, and minimize the environmental impact of industrial production. Their comprehensive solution features IoT hardware for edge computing, web-based software for data analysis, and seamless integration capabilities, allowing for 24/7 remote data access and rapid processing of large datasets. This positions Neuron Soundware as a key player in developing sustainable technologies and processes within the manufacturing sector.

Stream Analyze develops an innovative analytic engine designed to enhance efficiency and performance in data processing. The company focuses on real-time analytics and event processing, allowing users to quickly identify anomalies in data flows and manage extensive data operations. Its edge artificial intelligence platform simplifies the development, deployment, and management of machine learning models, making it accessible even on low-computing devices like microcontroller units. By processing various data types directly at the source, Stream Analyze enables faster responses to data queries while minimizing bandwidth usage and costs. This approach empowers customers to achieve timely insights and improve decision-making processes.

QuantWare is a leading provider of quantum hardware, specializing in scalable quantum processors designed to enhance computational capabilities. The company has developed the VIO QPU scaling technology, which serves as a platform for various qubit designs, facilitating the development of quantum computers with the potential to exceed one million qubits. QuantWare operates under the Quantum Open Architecture paradigm, supplying fully packaged quantum processing units (QPUs) and offering Foundry and Packaging Services to clients in 20 countries across four continents. Its innovative 3D-dimensional chip architecture enables customers to build connected and scalable quantum systems, aimed at addressing complex challenges in fields such as climate and life sciences.

SAALG Geomechanics SL, founded in 2016 and based in Barcelona, Spain, specializes in developing software for real-time analysis of ground conditions during civil engineering projects. The company provides advanced geological and numerical services, including numerical model calibrations and characterization of soil and rock parameters through back-analysis and inverse analysis. Its offerings include 2D and 3D geomechanical and geotechnical simulations, primarily focused on applications such as tunnel excavations, large and deep excavations, reinforced earth retaining walls, and wellbore stability analysis. By leveraging machine learning and real-time data analysis technology, SAALG Geomechanics enables construction companies to anticipate potential risks associated with ground movement, thereby optimizing project management, minimizing risks, and enhancing efficiency.

SAALG Geomechanics SL, founded in 2016 and based in Barcelona, Spain, specializes in developing software for real-time analysis of ground conditions during civil engineering projects. The company provides advanced geological and numerical services, including numerical model calibrations and characterization of soil and rock parameters through back-analysis and inverse analysis. Its offerings include 2D and 3D geomechanical and geotechnical simulations, primarily focused on applications such as tunnel excavations, large and deep excavations, reinforced earth retaining walls, and wellbore stability analysis. By leveraging machine learning and real-time data analysis technology, SAALG Geomechanics enables construction companies to anticipate potential risks associated with ground movement, thereby optimizing project management, minimizing risks, and enhancing efficiency.

Constellr is a company that develops advanced imaging technology for the agriculture sector, focusing on evaluating soil health, vegetation, and industrial monitoring through proprietary space infrastructure. By measuring critical factors such as water, temperature, and carbon, Constellr provides essential data that supports high-precision smart farming services, thereby contributing to global food security. The company addresses climate change by offering accountability and monitoring solutions across multiple markets. Its technology underpins various remote sensing products, including models for evapotranspiration, water stress, and crop yield prediction, enabling farmers, agronomists, agricultural companies, and infrastructure managers to gain precise insights and make informed decisions.

CARTO is a leading Location Intelligence platform that specializes in transforming spatial data into actionable insights for businesses. Founded in 2012 by an environmental scientist and visualization experts, the company is headquartered in New York City, with additional offices in Madrid, Seville, and Washington, DC. CARTO provides a cloud-based mapping, analysis, and visualization engine that enables data scientists, developers, and analysts to tackle spatial problems, optimize business processes, and predict outcomes. Its services facilitate more efficient delivery routes, enhanced behavioral marketing, and strategic store placements. With a customer base of 2,500, including notable companies like Mastercard, Vodafone, and Coca-Cola, CARTO has established itself as a significant player in the field. The company employs around 130 people and has garnered recognition from industry leaders such as G2, Gartner, and Forrester for its innovative contributions to Location Intelligence.

Sensoneo is a provider of advanced smart waste management solutions that assist cities and businesses in managing waste more efficiently and sustainably. The company utilizes proprietary ultrasonic sensors to monitor waste levels in real-time, coupled with sophisticated software that facilitates data-driven decision-making and optimizes waste collection processes. This technology enables significant reductions in waste collection costs, with improvements in operational efficiency and a potential decrease in carbon emissions. Sensoneo's solutions have been implemented in various locations across Europe, North America, South America, the Middle East, Australia, and New Zealand, attracting a diverse range of clients seeking to enhance their waste management practices. By automating the waste lifecycle and promoting eco-friendly initiatives, Sensoneo aims to transform traditional waste management into a more transparent and responsible process.

Orbem operates a sensor-based artificial intelligence breeding monitoring system designed to transform food production towards sustainability. The company utilizes AI-powered magnetic resonance imaging to automatically analyze and classify biological samples, significantly enhancing food production methods to address the demands of a growing global population. By implementing this technology, Orbem enables its customers to optimize their processing lines for greater cost efficiency, ultimately leading to the creation of high-quality products and the development of new revenue streams.

UPMEM is a fabless semiconductor company focused on enhancing the performance of data-intensive algorithms through its innovative Processing-In-Memory (PIM) solution. This technology addresses the limitations of traditional server architectures, which are hindered by data movement inefficiencies. By deploying a large number of programmable co-processors close to the data, UPMEM's platform accelerates performance for analytics and artificial intelligence applications by more than ten times. This unique approach not only improves computational speed but also reduces energy consumption and hardware footprint in data centers, making it an attractive solution for major application developers and cloud service providers.

nyris GmbH is a Berlin-based company that specializes in a visual product search platform, catering to various industries such as retail, e-commerce, industrial, manufacturing, media, entertainment, and financial services. Established in 2015, nyris focuses on providing a more intuitive search experience by allowing users to find products and objects in images and videos through advanced technologies like artificial intelligence and neural networks. This platform is designed to enhance efficiency by delivering search results in under one second, thereby reducing the friction often associated with traditional text-based searches. With a presence in over 50 countries, nyris serves a diverse clientele, enabling them to improve discovery and operational processes. The company is backed by notable investors, including eCapital, IKEA, and Axel Springer.

Swiss Vault Systems specializes in creating cost-effective data storage solutions aimed at transforming data management economics. The company focuses on developing systems that significantly minimize the data-carbon footprint through low power consumption, lightweight design, and quiet operation. Swiss Vault's products are designed for longevity, featuring hardware-embedded security to ensure data privacy. By combining innovative software and hardware technologies, Swiss Vault enables organizations to manage data in an economical, resilient, and environmentally sustainable manner, allowing for the preservation and accessibility of data over an extended period.

Altaroad specializes in data analytics for roadway management, utilizing a network of patented nano-sensors embedded in roads. Developed in collaboration with IFSTTAR and the Ecole Polytechnique, Altaroad's technology provides real-time analysis of traffic patterns and vehicle weights, enabling effective traffic management in smart cities. The platform identifies infrastructure maintenance needs and quickly detects potential hazards, such as icy conditions or dangerous driving behaviors. By offering insights that facilitate predictive maintenance, Altaroad helps road operators, city traffic managers, and logistics providers enhance safety and achieve cost efficiencies.

Sensoneo is a provider of advanced smart waste management solutions that assist cities and businesses in managing waste more efficiently and sustainably. The company utilizes proprietary ultrasonic sensors to monitor waste levels in real-time, coupled with sophisticated software that facilitates data-driven decision-making and optimizes waste collection processes. This technology enables significant reductions in waste collection costs, with improvements in operational efficiency and a potential decrease in carbon emissions. Sensoneo's solutions have been implemented in various locations across Europe, North America, South America, the Middle East, Australia, and New Zealand, attracting a diverse range of clients seeking to enhance their waste management practices. By automating the waste lifecycle and promoting eco-friendly initiatives, Sensoneo aims to transform traditional waste management into a more transparent and responsible process.

Sensoneo is a provider of advanced smart waste management solutions that assist cities and businesses in managing waste more efficiently and sustainably. The company utilizes proprietary ultrasonic sensors to monitor waste levels in real-time, coupled with sophisticated software that facilitates data-driven decision-making and optimizes waste collection processes. This technology enables significant reductions in waste collection costs, with improvements in operational efficiency and a potential decrease in carbon emissions. Sensoneo's solutions have been implemented in various locations across Europe, North America, South America, the Middle East, Australia, and New Zealand, attracting a diverse range of clients seeking to enhance their waste management practices. By automating the waste lifecycle and promoting eco-friendly initiatives, Sensoneo aims to transform traditional waste management into a more transparent and responsible process.

Altaroad specializes in data analytics for roadway management, utilizing a network of patented nano-sensors embedded in roads. Developed in collaboration with IFSTTAR and the Ecole Polytechnique, Altaroad's technology provides real-time analysis of traffic patterns and vehicle weights, enabling effective traffic management in smart cities. The platform identifies infrastructure maintenance needs and quickly detects potential hazards, such as icy conditions or dangerous driving behaviors. By offering insights that facilitate predictive maintenance, Altaroad helps road operators, city traffic managers, and logistics providers enhance safety and achieve cost efficiencies.

CARTO is a leading Location Intelligence platform that specializes in transforming spatial data into actionable insights for businesses. Founded in 2012 by an environmental scientist and visualization experts, the company is headquartered in New York City, with additional offices in Madrid, Seville, and Washington, DC. CARTO provides a cloud-based mapping, analysis, and visualization engine that enables data scientists, developers, and analysts to tackle spatial problems, optimize business processes, and predict outcomes. Its services facilitate more efficient delivery routes, enhanced behavioral marketing, and strategic store placements. With a customer base of 2,500, including notable companies like Mastercard, Vodafone, and Coca-Cola, CARTO has established itself as a significant player in the field. The company employs around 130 people and has garnered recognition from industry leaders such as G2, Gartner, and Forrester for its innovative contributions to Location Intelligence.

AEInnova, founded in 2014 at the Autonomous University of Barcelona, specializes in innovative Internet of Things (IoT) solutions for predictive maintenance. The company was established by a team of PhDs and engineers with expertise in microelectronics and various engineering disciplines. AEInnova's flagship product, InduEye, is a fully battery-less and autonomous device that monitors vibrations, steam traps, and thermal conditions, harnessing energy from waste heat, with future versions incorporating solar and wind power. The technology stands out due to its patented innovation, which enhances performance and enables real-time edge computing while utilizing advanced wireless communication standards. AEInnova's devices are employed in diverse sectors, including oil and gas, aluminum, steel, paper, and water treatment, and feature a sophisticated IoT cloud-based dashboard for data analytics and predictive maintenance. The company has received 31 international awards for its contributions to sustainability and innovation and has secured significant investment, including funding from the European Commission. AEInnova is actively engaged in multiple EU R&D projects focused on energy harvesting and IoT technologies.

AEInnova, founded in 2014 at the Autonomous University of Barcelona, specializes in innovative Internet of Things (IoT) solutions for predictive maintenance. The company was established by a team of PhDs and engineers with expertise in microelectronics and various engineering disciplines. AEInnova's flagship product, InduEye, is a fully battery-less and autonomous device that monitors vibrations, steam traps, and thermal conditions, harnessing energy from waste heat, with future versions incorporating solar and wind power. The technology stands out due to its patented innovation, which enhances performance and enables real-time edge computing while utilizing advanced wireless communication standards. AEInnova's devices are employed in diverse sectors, including oil and gas, aluminum, steel, paper, and water treatment, and feature a sophisticated IoT cloud-based dashboard for data analytics and predictive maintenance. The company has received 31 international awards for its contributions to sustainability and innovation and has secured significant investment, including funding from the European Commission. AEInnova is actively engaged in multiple EU R&D projects focused on energy harvesting and IoT technologies.

Ophiomics S.A. is a clinical-stage biotech company based in Lisbon, Portugal, specializing in the development of diagnostic products and services for liver cancer. Established in 2015, Ophiomics focuses on integrating bioinformatics, artificial intelligence, and genomics to enhance diagnostic and prognostic capabilities in oncology. The company is ISO 13485 and ISO 9001 certified, ensuring adherence to high-quality standards in its operations. Its product pipeline encompasses various stages of development, including pre-clinical programs and those undergoing clinical validation. Ophiomics aims to improve early detection of liver cancer through biomarker-based diagnostic devices that combine molecular signatures with clinical parameters in predictive algorithms, ultimately assisting healthcare providers in treatment selection and clinical follow-up for better patient outcomes.

Ophiomics S.A. is a clinical-stage biotech company based in Lisbon, Portugal, specializing in the development of diagnostic products and services for liver cancer. Established in 2015, Ophiomics focuses on integrating bioinformatics, artificial intelligence, and genomics to enhance diagnostic and prognostic capabilities in oncology. The company is ISO 13485 and ISO 9001 certified, ensuring adherence to high-quality standards in its operations. Its product pipeline encompasses various stages of development, including pre-clinical programs and those undergoing clinical validation. Ophiomics aims to improve early detection of liver cancer through biomarker-based diagnostic devices that combine molecular signatures with clinical parameters in predictive algorithms, ultimately assisting healthcare providers in treatment selection and clinical follow-up for better patient outcomes.

AEInnova, founded in 2014 at the Autonomous University of Barcelona, specializes in innovative Internet of Things (IoT) solutions for predictive maintenance. The company was established by a team of PhDs and engineers with expertise in microelectronics and various engineering disciplines. AEInnova's flagship product, InduEye, is a fully battery-less and autonomous device that monitors vibrations, steam traps, and thermal conditions, harnessing energy from waste heat, with future versions incorporating solar and wind power. The technology stands out due to its patented innovation, which enhances performance and enables real-time edge computing while utilizing advanced wireless communication standards. AEInnova's devices are employed in diverse sectors, including oil and gas, aluminum, steel, paper, and water treatment, and feature a sophisticated IoT cloud-based dashboard for data analytics and predictive maintenance. The company has received 31 international awards for its contributions to sustainability and innovation and has secured significant investment, including funding from the European Commission. AEInnova is actively engaged in multiple EU R&D projects focused on energy harvesting and IoT technologies.