Machine Learning Excellence
Gradient Zero is a software and machine learning company based in Vienna, Austria.
Our products and projects focus on secure data sharing, enabling responsible use of AI, and quantum machine learning. Our team of data scientists and business experts develop software solutions across various industries, including healthcare, research, finance, and agritech.
Gradient Zero develops projects, products, and even companies. Depending on the client and domain we create bespoke solutions, new products, or spin-off ventures. Always with a focus on AI and machine learning excellence, innovation, scientific methods, and ethical development and organizational principles.
AUCOM helps you to make informed decisions to protect your business and comply with regulatory obligations. By automating onboarding processes with an innovative combination of human and artificial intelligence, AUCOM goes beyond traditional background checks and creates precise reports with detailed risk scores while drastically reducing overhead costs.
Daiki is a unified platform that helps organizations build more trustworthy AI by combining legal, ethical, design, and machine learning expertise and by embedding the principles of ethics into the development and operations processes. Daiki helps build better, more reliable, and responsible AI and software systems.
DQ0 is a platform for ethical AI with privacy-preserving analysis and machine learning. Get the most out of your data without revealing any secret information. DQ0 guarantees mathematically verifiable data protection.
Use DQ0 to halt data leaks in your company, to create data marketplaces, or to use external data sources safely. With DQ0, you are fully compliant with all data protection regulations at all times.
PQML will establish an ecosystem for Quantum Machine Learning (QML) development in Austria. The platform will serve as an exchange that connects experts from the fields of quantum computing, machine learning, physics, and chemistry through software systems and interfaces. PQML will store models, data pools, implementations, use cases, and app stores for QML frameworks.
AI-powered quantitative trading using machine learning techniques and advanced statistics (especially Bayes). PVX develops algorithms for the financial markets, in particular for quantitative trading across all assets, including crypto, with a focus on market-neutral and USD-neutral strategies. It provides signals as well as complete quantitative strategies. PVX has been deployed with hedge fund clients in real cash environments and has been historically successful in volatile market conditions.
Our projects span various industries and are based on our expertise in the fields of machine learning, software engineering, and high performance computing.
We work closely with our clients to develop AI-driven solutions to meet their needs. We collaborate with research or corporate entities in several of our projects, with some including grants or funding.
A web-based software that enables companies to create ESG reports.
A platform that helps companies measure and achieve their goals to become carbon neutral.
How do you develop good and trustworthy AI applications? And what does this even mean? Traditionally, AI and Machine Learning development either ignores questions of ethical implications or treat them as an optional matter.
In this project we seize the unique opportunity to bring together ethicists and technical researchers to develop concrete ethics-by-design principles dealing with the practical considerations arising from compliance with relevant ethical foundations and legal frameworks and the constraints imposed by technical implementation.
Digital Health Center can be seen as a universal digital health solution that connects patients and doctors with intelligent software with valuable AI-based support.
In this project, we are creating machine learning models for cancer analysis in pathology and synthetic data generation for human tissue cell image exploration to support medical experts in diagnosis and research. The result will be a software platform for AI-powered digital pathology.
With the help of artificial intelligence and based on satellite data, pastures are automatically monitored and evaluated for optimal land use that enables managers to better control the timing of livestock movements within paddocks to maximize performance and to get a better understanding of available protein and energy within paddocks during different times of year.
In this project and in collaboration with scientific partners we are developing logic and digital exit games and the educational concept for their use in STEM education for children.
Digital Logic and Exit games are highly motivating, offer strong incentives to communicate and collaborate, and encourage problem solving skills in a playful way. Game-based learning supports 21st century skills. We are developing an editor and platform for AI and STEM education for kids.
In collaboration with scientific partners we are developing a novel learning environment for mathematical education. The learning environment aims to give learners the opportunity to repeat and work through mathematical content independently and in an understanding-oriented manner.
Kevin Michael Gibney
Dr. Paolo Campigotto
Dr. Craig Lincoln
Dr. Reinhard Munz
Elisabeth Chanduvi Suarez
Interested in learning more, becoming a partner or investor, or press opportunities?
Contact us to request further information from one of our experts.
Gradient Zero SoftwareentwicklungsGmbH
FN 503267 z. Handelsgericht Wien, UID: ATU73962946