Advancing AI Compliance with Scientific Rigor
Pioneering the next generation of federated AI governance, ensuring real-time, privacy-preserving compliance checks for models and datasets. AL360° delivers the most context-aware regulatory intelligence, empowering healthcare, finance, government, and research to operate AI responsibly.
Driven by Impact
Meet the Humans!
Get to know the innovators shaping AffectLog’s research and compliance-first approach.
Roy Saurabh
Founder, AffectLog
Roy Saurabh works at the intersection of human-computer interaction, learning sciences, and AI ethics, dedicated to transforming global education, healthcare and public systems through privacy-enhancing technologies (PETs) and federated learning architectures.
Vicky Charisi
MIT, Singapore-MIT Alliance | Harvard Berkman Klein Centre
Vicky Charisi is a Research Scientist at MIT and her work focuses on the impact of AI on human development, the design of AI systems for human flourishing, and evidence-based policy support on AI and human rights.
Vladimír Šucha
Ex-Head of European Commission Representation in Slovakia
Vladimír Šucha brings multiple decades of experience bridging scientific research and evidence-based policymaking at the highest levels. As former EC JRC DG, he focused on innovation ecosystems and the societal impacts of AI.
Jasmina Byrne
Ex-Chief of Foresight and Policy, UNICEF Innocenti
Jasmina Byrne was the Chief of Foresight and Policy at UNICEF Global Office of Research and Foresight – Innocenti. With over 25 years of experience in leading research, policy advocacy, and programme management
Discover
Scientific Foundations of AffectLog AL360°
AL360° integrates automated risk classification, fairness audits, model explainability, and continuous compliance tracking. Federated execution ensures no raw data is centralized — only encrypted policy signals are shared, preserving privacy while enabling trustworthy AI insights.
Discover
Our Advisory Board
Our board includes leaders in AI ethics, federated learning, and regulatory governance — guiding AL360° toward robust, privacy-first compliance infrastructures.
Discover
A Culture of Scientific Excellence
AffectLog advances reproducible AI research at the intersection of compliance automation, secure computation, and policy-aligned governance. Every capability is built for scientific validity, regulatory trust, and ethical AI deployment.
Driven by Impact
Research Networks & Global Collaborations
AffectLog partners with top academic and industry groups to set global standards for AI compliance in sensitive data environments.
OWASP AI Security & Privacy Project
Privacy-Preserving Governance
Designing federated protocols, homomorphic encryption, and zero-trust architectures for compliance-critical AI.
OECD.AI Policy Observatory
Global Policy & Governance
Shaping AI conformity with the EU AI Act, ISO 42001, and sector-specific rules for healthcare, finance, and government.
IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
Human-Centric AI Safety
Integrating fairness, accountability, and transparency benchmarks into regulated AI workflows.
Gaia-X AISBL (Association for Data and Cloud)
Cross-Sector Collaboration
Cross-Sector Collaboration
Connecting data-rich institutions under compliant, privacy-preserving AI frameworks.
Advantages
Why collaborate with AffectLog
AffectLog combines rigorous AI compliance research, interdisciplinary partnerships, and privacy-enhancing infrastructures. Our platform automates regulation-aware risk and performance tracking — without exposing sensitive data.
Start your journey
Take the next step in deploying regulation-ready, privacy-first AI with AffectLog AL360°.
Begin leveraging AffectLog’s AL360° today!
Read Our Latest Research
Stay informed on federated compliance execution, ephemeral data enclaves, and AI regulation trends.
