Consultancy
100% adaptable to your needs.
On location or remotely, together with you we look for the best practical and suitable solution. We are specialised in advising companies and institutions on Trustworthy AI, including AI Compliance, Risk Management, and AI Governance.
Our multidisciplinary team combines expertise in the following fields: AI Security and Privacy, AI Risk Management, AI Engineering and Data Science, Law, Ethics and fundamental rights and AI UX Design and Transparency. By carefully listening to your needs, we’ll work together to address your challenges and equip you with the right knowledge and tool.
Do you have a technical challenge and are you curious if we can help you? We would love to brainstorm with you about it. Contact us or drop by for a visit.
Our focus
Trustworthy AI
Artificial Intelligence has become a hot topic, not only for its innovation but also for its potential impacts on privacy, human rights, and the environment. The concept of Trustworhy AI refers to the development and deployment of AI-systems that are reliable, ethical, and aligned with human values. We can help you build and deploy AI that complies with Trustworty AI standards and principles.
What can we do for you?
- EU AI Act compliance: guidance to comply with the requirements of the EU AI Act.
- Responsible AI program: implement best practices of AI Governance, AI Risk Management, AI Privacy, AI Security and Ethics by Design.
- Technical & legal advice
- Bias assesments
- Audit & Impact Assessments
- AI threat modeling: learn how to identify AI risks with the open-source tool PLOT4ai
Privacy by Design
Compliance with privacy and data protection regulations is not just a checkbox exercise. Privacy by Design implies that privacy is integrated into the development of digital solutions. This does not only mean that privacy features are translated into design engineering requirements but also that privacy is implemented at organisational and process level. Privacy by Design needs to become the mindset.
We can help you:
- Find what privacy requirements your solution needs also considering other legal requirements that could have an impact on the design
- Translate privacy needs into design and engineering requirements during the whole development life cycle - also in agile environments
- Choose the privacy design strategies that better suit your solution
- Implement threat modeling to discover and assess possible risks during the development life cycle
- Implement Privacy and Data Ethics by Design, also at organisational level