Data Collaboration Platform with leading privacy and security technologies, designed for speed, built for compliance, and trusted by forward-thinking teams - without ever transferring, pooling, or exposing raw data.
In blockchain, finance, and other regulated industries, the data required to verify identity, assess risk, or authorize high-value transactions is rarely centralized.
Banks hold KYC records, exchanges manage transaction histories, and regulators oversee compliance data - yet none of these parties can freely share that information.
Cross-border rules, privacy requirements, and rising cyber-risks make direct data transfers both impractical and often unlawful.
The consequences are tangible: onboarding slows, fraud detection loses its edge, and high-value opportunities are delayed or abandoned.
AIDatacy removes these barriers by making verification possible without exposing underlying data.
The outcome is a system where trust, compliance, and speed can finally co-exist.
Secure Search Query - Run SQL-like queries on encrypted data without decryption.Privacy-Preserving Identity Matching - Align audiences across parties without exposing user-level Personally Identifiable Information (PII).Consent-Driven Governance - Track all data interactions are permissioned, logged, and traceable.Encrypted Analytics Engine - Launch secure collaborative analytics with no-code workflows.These capabilities work together to eliminate the trade-off between insight and privacy compliance.Our infrastructure combines advanced cryptographic methods with modern data engineering practices. This architecture allows banks, exchanges, and regulators to collaborate in real time, achieving verification, detecting risk, and unlocking insights without breaching confidentiality or compliance rules.
Enables computation directly on encrypted data, preserving confidentiality throughout.
Ensures that data remains secure, encrypted and anonymized in Transit, at Rest and in Use.
Fine-grained access controls, verified identities, and complete audit logging.
Seamless connectivity with CRMs, CDPs, datalake, data warehouses, and cloud environments.
Technology Spotlight
Built on Next-Gen Privacy Technologies
Behind the scenes, AIDatacy is powered by a trio of cutting-edge technologies designed to unlock the full value of sensitive data — without compromising security, compliance, or control.
FHE (Fully Homomorphic Encryption) lets data stay encrypted even during analysis, enabling trusted collaboration without exposing raw information.Federated Learning allows AI models to learn across organizations without sharing data — secured by encrypted aggregation and robust governance.Trusted Execution Environments (TEEs) provide a verifiable control layer, orchestrating secure workflows while keeping the data encrypted end-to-end.These technologies work together to deliver real-world performance, regulatory-grade security, and frictionless data collaboration across industries.
Use Cases
Unlock financial integrity with AIDatacy’s Privacy-First AML System Workflow.
Powered by AIDatacy’s Privacy-Enhancing Technologies (PETs) - including Fully Homomorphic Encryption (FHE), Federated Learning, and Trusted Execution Environment (TEE) - the workflow ensures secure data collaboration while enhancing compliance and fraud prevention.
To successfully implement AIDatacy’s simplified AML system, the following steps outline the process:
