Services
Build, scale, and stay compliant
Technical
AI governance
AI governance requires going beyond the system-level requirements of the AI Act. We can work with your teams to translate principles like fairness, accountability, and transparency into conscious governance choices: auditable logs, aligned reward functions, robust feedback loops, explainable models, benchmarking and much more. We address issues of ensuring runtime reliability and dynamic assurance of your AI agent infrastructure.
AI fairness assessment and mitigation
Bias isn’t a side effect but a systemic flaw that can derail trust, legality, and impact. At the same time, all data is biased. We analyse data sets, model outputs, and decision pathways to pinpoint imbalances. Then, we apply practical fairness-enhancing interventions, like reweighting, post-processing, and adversarial testing, to help your AI meet real-world standards for equity and accountability.
AI interpretability assessment and mitigation
If users can’t understand your model, they won’t trust it, and regulators won’t let it fly. We evaluate the transparency of your AI systems across input, logic, and output layers. From SHAP values to counterfactual explanations, we deploy the right tools to unpack black boxes and build systems that speak human, not just code.
AI development consulting
We help you move from promising concept to production-grade AI safely, strategically, and in sync with both user expectations and regulatory requirements. Whether you’re building foundation models or domain-specific tools, we support you in making key technical decisions: model design and evaluation, data set sourcing and validation, API integration, risk analysis, and deployment architecture. With our legal-engineering perspective, we also ensure your development pipeline anticipates challenges under the EU AI Act, like robustness, traceability, and human oversight, data governance, in the most effective and efficient way.
Technical controls for legal protection by design
We turn legal requirements into engineering blueprints. From the earliest stages of system architecture, we help you implement technical controls that ensure compliance is embedded, not retrofitted. Whether it’s enforcing data minimisation through anonymisation and edge processing, embedding purpose limitation via contextual access management, or ensuring accountability through structured audit trails and traceability mechanisms, we map legal principles to concrete design patterns. Our interdisciplinary approach bridges developers and legal teams, ensuring that every layer of your system, ie, data models, APIs, logs, and workflows, aligns with applicable rules from the GDPR, the AI Act, or sector-specific legislation. We turn legal protection by design into a system feature.
Prototype assessment and validation
Your prototype isn’t just a proof of concept, but your first test against the real world. We evaluate early-stage systems through both technical and legal lenses, helping you identify design flaws, compliance gaps, and scaling risks before they become embedded. Our assessments combine functional testing, regulatory alignment checks (eg, GDPR, AI Act, Open Source licences, etc.), and interdisciplinary scrutiny of data flows, model behaviour, and system architecture. Whether you’re pitching to investors, entering a regulatory sandbox, or preparing for market deployment, we help validate that your prototype is not only innovative, but fit for purpose, policy, and people.