Frequently Asked Questions
Have a question about privacy, integration, or compliance? Find answers to our most common customer questions here.
Intelation is a real-time, API-first data privacy platform designed to help organizations protect sensitive information, comply with global privacy laws, and safely unlock value from their data with advanced techniques like encryption, synthetic data, federated learning, and zero-knowledge proofs.
Intelation supports processing for text, documents, logs, emails, chat messages, audio transcripts, and other data formats. We protect PII, PHI, and sensitive data types using advanced NLP, encryption, federated learning, and synthetic data generation.
We support multiple methods including masking, redaction, pseudonymization, tokenization, hashing, encryption, differential privacy, homomorphic encryption, synthetic data generation, federated learning, and zero-knowledge proofs — so you can choose the right approach for your compliance, AI, or analytical needs.
Yes. Intelation is actively being developed to align with leading regulations such as GDPR, HIPAA, CCPA, CPRA, and the EU AI Act. While some compliance features are already live, others — like audit logs and re-identification control — are currently in progress as part of our roadmap. We provide audit logs, policy mappings, and re-identification control where needed.
Absolutely. You can define allowlists, denylists, custom entities, language preferences, sensitivity levels, and thresholds to tailor privacy protection to your specific use case, industry, or compliance requirements.
No. Intelation is stateless by default — we do not store your original data unless you explicitly enable audit logging, blockchain tracking, or encryption-reversible workflows in your organization settings.
Yes. Our platform is designed for production-grade deployments, with WebSocket support, batch processing, and SLAs for enterprise customers.
Yes! You can send request for demo dashboard and API keys to test Intelation in your development environment.
We focus on real-time, flexible, and developer-friendly data privacy — combining open-source foundations with proprietary enhancements like encryption, federated learning, and quantum-resistant techniques to offer transparency, scalability, and enterprise readiness.