Collaborate with us
AffectLog partners with leading research institutions, universities, and industry R&D teams to advance the frontiers of federated AI compliance, privacy-preserving intelligence, and cryptographically verifiable governance.
Whether your focus is algorithmic auditing, federated learning protocols, or computational legal reasoning, we invite collaboration on projects that combine technical depth with societal relevance.
Pioneering Research
Explore Our Core Scientific Domains
Explore the foundational principles powering the AL360° Platform — ensuring verifiable compliance, distributed AI optimisation, and privacy at scale.
Privacy-Preserving
Intelligence
Integration of secure enclaves, homomorphic encryption, and differential privacy to execute AI models without exposing raw datasets. Research spans low-latency cryptographic inference and privacy budget optimisation for regulated AI ecosystems.
Federated
Compliance-Aware AI
On-device and in-cloud federated learning combined with encrypted gradient aggregation, enabling jurisdiction-specific compliance adaptation without sacrificing model accuracy or operational autonomy.
Trust Anchors &
Policy-Linked AI Governance
Immutable audit trails, decentralised policy execution via smart contracts, and explainable decision logs for cross-border AI deployments under frameworks like EU AI Act, GDPR, and ISO 42001.
Explainable &
Adaptive Governance AI
Research into hybrid neurosymbolic architectures and interpretable ML pipelines that guarantee fairness, detect bias drift, and deliver human-readable justifications for AI decisions in regulated sectors.
Beyond the Lab – Real-World Impact
AffectLog’s research teams integrate zero-knowledge computation, dynamic policy enforcement, and secure multi-party collaboration into production-ready compliance frameworks. Our methods have been deployed to regulatory sandboxes, cross-border data spaces, and live operational AI environments without a single privacy breach.
Advancing Secure AI Infrastructures
Through distributed, regulation-aware AI computation, AL360° enables nation-scale, privacy-preserving AI deployments that meet both technical and legal fidelity requirements.
These architectures are built to ensure that sensitive insights remain decentralised, ephemeral, and verifiable.
Building Ethical AI Frameworks
AL360° embeds governance into the execution layer — automating risk classification, fairness checks, and jurisdiction-specific rule enforcement without manual overhead.
Compliance evidence is anchored to an immutable ledger for transparency and audit readiness.
Translating Theory into Practice
Explore Our Industry-Aligned Research
AffectLog extends scientific breakthroughs into applied research, bridging AI risk assessment, federated learning, and decentralised computation to address high-impact domains.
Healthcare and
Life Sciences Compliance
Deploy bias detection, model drift monitoring, and explainability overlays for diagnostic AI, ensuring compliance with MDR, HIPAA, and EU AI Act high-risk provisions.
Financial Services
Risk Governance
Adaptive model monitoring for credit scoring, fraud detection, and algorithmic decision systems to maintain Basel III, PSD2, and GDPR conformity in real time.
Education & Minors’
Data Protection
Federated analytics and compliance automation for student engagement models and edtech platforms, aligned with UN CRC, GDPR Art. 8, and UNESCO AI ethics guidelines.
Government & Research
Data Spaces
Secure orchestration for cross-agency AI projects, ensuring data sovereignty while meeting national security, privacy, and ethical AI policies.
Explore
Research Grants and Funding
AL360° is embedded within EU and global data space ecosystems, supporting funded collaborations and large-scale compliance innovation.
Shape the Future of Compliance-First AI
Join AffectLog’s research network to co-develop compliance-aware AI, contribute to international governance frameworks, and accelerate the transition to privacy-secure AI ecosystems.
Power your research with us today!
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Stay updated on federated learning, data spaces, decentralised cognitive architectures, and privacy-enhancing technologies.
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Contact support
Need technical assistance or more information on our research? Reach out anytime: