AffectLog Logo (Light)

The Future of Privacy-Preserving AI

Unlock the power of collaborative AI without compromising data privacy. Train models across organizations while keeping sensitive data local and secure.

Privacy-FirstFederated LearningResponsible AIEU AI Act Ready

Trusted Across Verticals

From healthcare to finance, government to research - AffectLog enables secure AI collaboration across every sector that handles sensitive data.

Healthcare

Collaborative disease prediction and risk scoring without sharing patient data

Medical Research & Clinical Trials
  • HIPAA Compliance
  • Medical Imaging AI
  • Drug Discovery
  • Patient Risk Assessment

Government

Secure data sharing across agencies while maintaining citizen privacy

Public Sector & Civic Tech
  • GDPR Compliance
  • Census Data Analysis
  • Public Safety
  • Infrastructure Planning

Finance

Fraud detection and anti-money laundering across banks with privacy guarantees

Financial Services & Banking
  • Regulatory Compliance
  • Risk Assessment
  • Credit Scoring
  • Market Analysis

Children

Safe AI development for educational and child welfare applications

Education & Child Welfare
  • COPPA Compliance
  • Educational AI
  • Child Safety
  • Learning Analytics

Research

Multi-institutional research collaboration with data privacy protection

Academic Research & Innovation
  • Academic Collaboration
  • Clinical Trials
  • Data Sharing
  • Publication Support

Enterprise

Secure AI collaboration across departments and partners

Enterprise Solutions
  • Data Governance
  • Model Sharing
  • Collaborative Training
  • Secure Deployment

Enterprise-Grade Features

Everything you need to build, deploy, and manage privacy-preserving AI at scale.

đź”—

Federated Learning

Train AI models across distributed data sources without sharing raw data

đź”’

Privacy Computing

Secure multi-party computation and homomorphic encryption

⚖️

Responsible AI

Bias detection, fairness assessment, and ethical AI development

📊

Data Quality

Automated data validation, quality assessment, and intent verification

đź“‹

AI Act Compliance

EU AI Act compliance automation and regulatory reporting

⚙️

AI Lifecycle

End-to-end AI development workflow management

Trusted by Industry Leaders

See how organizations are transforming their AI capabilities with AffectLog.

FT

"AffectLog représente une avancée stratégique dans le domaine de la conformité IA et de la gouvernance des données éphémères, répondant à un besoin croissant d'encadrement des systèmes IA dans des environnements hautement réglementés."

François Taddei

Director, INSERM (France), Founder, Learning Planet Institute (France)

HK

"AffectLog is a breakthrough in AI compliance and federated data governance, addressing one of the most critical challenges in AI deployment: ensuring regulatory compliance while preserving data sovereignty and privacy."

Harri Ketamo

Chairman, Headai (Finland), Senior Fellow, University of Turku (Finland)

AR

"AffectLog adresse un besoin critique et non résolu : garantir une conformité dynamique et automatisée des modèles d'IA tout au long de leur cycle de vie, tout en assurant la suppression éphémère des données sensibles pour préserver la confidentialité."

Azim Roussanaly

Maître de conférences, Université de Lorraine (France)

Meet Our Team

World-class experts in AI, privacy, and distributed systems.

Roy Saurabh - Founder, AffectLog

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

Privacy-Enhancing TechnologiesFederated LearningApplied Research
VladimĂ­r Ĺ ucha - European University Institute

VladimĂ­r Ĺ ucha

European University Institute

VladimĂ­r Ĺ ucha expertise spans multiple sectors, with focus on evidence informed policymaking, innovation ecosystems, impacts of artificial intelligence (AI), on society.

Evidence-Informed PolicymakingInnovation EcosystemsAI Impact Assessment
Harri Ketamo - University of Turku

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.

EntrepreneurshipAcademic ResearchTechnology Innovation
Sarah Goodday - University of Oxford

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.

Epidemiological MethodsMental Health SurveillanceData Integrity

Subscription Pricing

Transparent annual pricing with enterprise contact for custom requirements.

🚀

Essential

€14K/year

Perfect for growing organizations and research institutions

  • Up to 25 participants
  • Advanced federated learning
  • Privacy computing tools
  • Responsible AI assessment
  • Standard support
  • EU AI Act compliance
Start Free Trial
Most Popular
⚡

Advanced

€21K/year

Ideal for established organizations with complex requirements

  • Up to 100 participants
  • Advanced privacy computing
  • Comprehensive AI safety tools
  • Custom integrations
  • Priority support
  • SLA guarantees
  • On-premise options
Start Free Trial
🏢

Enterprise

€50K/year

For large enterprises with custom requirements and dedicated support

  • Unlimited participants
  • Custom deployments
  • Dedicated support team
  • Premium SLA guarantees
  • Full compliance suite
  • Custom integrations
  • White-label options
Contact Sales

Business Model

Our business model includes subscription plans, enterprise licensing, consulting, and marketplace fees.

Subscription

Essential: €14K / Advanced: €21K / Enterprise: €50K per year.

Licensing

Enterprise API licensing for audits and compliance.

Consulting

Consulting for governments and AI sandboxes.

Marketplace Fees

Data trust usage revenue and marketplace transaction fees.

Ready to Transform Your AI Strategy?

Join hundreds of organizations already using AffectLog to build privacy-preserving AI solutions.