Privacy-first Data Collaboration Platform

Why it matters

The Collaboration Bottleneck

Data You Need, Trapped by Barriers

You already know the insight exists - in a partner’s CRM, CDP, a media platform’s datalake, or a retailer’s POS system. But compliance, security, cyber-risk, and policy hurdles make data sharing nearly impossible.

Secure Collaboration, Smarter Insights

AIDatacy solves this by providing a secure infrastructure that allows analysis across 1st party datasets, without revealing underlying data. So insights can flow - without friction.

Platform Capabilities

Empowering Secure Multi-Party Analytics

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.

Technical Architecture

Privacy by Design, Performance by Default

Our infrastructure combines advanced cryptographic methods with modern data engineering practices. This architecture delivers uncompromising data privacy while maintaining the speed, scalability, and flexibility expected from enterprise-grade SaaS platforms.

Our Privacy-Enhacing Technologies

Enables computation directly on encrypted data, preserving confidentiality throughout.

End-to-End Encryption

Ensures that data remains secure, encrypted and anonymized in Transit, at Rest and in Use.

Zero-Trust Cloud Infrastructure

Fine-grained access controls, verified identities, and complete audit logging.

Modular API Integrations

Seamless connectivity with CRMs, CDPs, datalake, data warehouses, and cloud environments.

Technology Spotlight

Privacy-Enhancing Technologies (PETs)

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.

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Use Cases

Built for Real-World Scenarios

Agencies & Advertisers

Analyze campaign performance across clients, identify overlapping audiences, defining cohort audiences, and activate joint segments - without moving or pooling sensitive data.

Retail & CPG

Connect sales data with media exposure while respecting privacy. Enable co-planning, secure attribution, and better demand forecasting between brands and retailers.

Media & Platforms

Measure brand lift and audience engagement across platforms using encrypted insights. Run joint campaigns without exposing viewership data.

Travel & Hospitality

Use encrypted data to segment shared travelers and personalize offers across loyalty programs - without revealing customer identities.

How it works

Unlock your data value with AIDatacy's Privacy-first Data Collaboration Platform using AIdatacy's Privacy-Enhancing Technologies (PETs) such as Fully Homomorphic Encryption (FHE), Federated Learning and Trusted Execution Environment (TEE) and more ...

To successfully implement AIDatacy's privacy-firsty data collaboration, consider the following steps: