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 is an applied researcher, dedicated to transforming shared data spaces through privacy-enhancing technologies (PETs), and federated learning architectures
Vladimír Šucha
European University Institute
Vladimír Šucha expertise spans multiple sectors, with focus on evidence informed policymaking, innovation ecosystems, impacts of artificial intelligence (AI), on society.
Harri Ketamo
University of Turku
Harri (Ph.D.) is an entrepreneur with 20 years experience. Eisenhower fellow 2017, Adjunct Professor at Tampere University of Technology and Senior Fellow at University of Turku.
Sarah Goodday
University of Oxford
Sarah’s expertise in epidemiological methods and mental health surveillance provided critical insights into data integrity and cross-institutional collaborations.
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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.
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Our Advisory Board
Our board includes leaders in AI ethics, federated learning, and regulatory governance — guiding AL360° toward robust, privacy-first compliance infrastructures.
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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.
