Strategic Technology Consultancy & Solutions
Turning Complex Regulations Into Workable Processes
Strategic Technology Consultancy & Solutions
Turning Complex Regulations Into Workable Processes
Legal Engineering
We turn legal requirements into structured workflows your product and engineering teams can actually use.
GDPR, AI Act, and platform regulations are broken down into processes your teams can follow, align, and scale.
We design decision trees, DPIA templates, and governance playbooks that standardise how your teams handle compliance, built directly into how your product is developed.
AI Compliance & Development
We help organisations integrate AI responsibly and build it well. On the compliance side, we align your AI systems with the EU AI Act and GDPR through risk classification, governance frameworks, and impact assessments that go beyond checkbox compliance.
On the development side, we build AI tools and automated workflows tailored to your operational needs.
Transparency, human oversight, and accountability are implemented from the start, whether we are advising on your existing systems or building new ones.
Data Protection Expertise
We handle the full operational side of GDPR compliance, working across your legal, product, technical, and business teams. This covers privacy by design built into your product architecture, end-to-end DPIA processes, ROPA management, third-party and vendor risk assessments, cookie and consent mechanisms, and breach readiness.
We also advise on supervisory authority guidance and evolving EU case law, so your privacy programme stays current as the regulatory landscape changes.
Ethical Product Design
At Veralex, we treat ethics as a practical discipline, not just a statement about values. Regulations state what is required. They do not always tell you whether what you are building is responsible.
We help organisations systematically identify and assess the ethical risks of their digital products and AI systems, covering algorithmic bias, manipulation risks, user autonomy, transparency, and the broader societal implications of data-driven decision making.
We then translate those considerations into concrete product requirements and team-level guidelines, so that ethical responsibility becomes part of how you build, not something you reflect on afterwards.