THiNK DPI

Unlocking the Digital Economy Through Trusted Data Sharing

A secure, legally compliant, and AI-ready Data Trust infrastructure. We bridge the gap between siloed datasets to empower ethical data exploration, advanced analytics, and cross-sector innovation.

Become a Data Partner

Platform Capabilities

Discover the dual pillars of the Data-Xchange platform: solving the coordination challenge while guaranteeing unbreakable trust and compliance.

The Knowledge Coordination Challenge

As the community's digital landscape rapidly expands, valuable data remains trapped in organizational silos. Current 1-to-1 data sharing agreements are rigid, making it nearly impossible to safely consolidate datasets to solve complex problems—like providing comprehensive healthcare, approving MSME loans, or training specialized AI.

X-Road Based Data Exchange

Secure, direct connections between organizations with no central data storage

Eliminate Silos

Connect diverse databases safely to unlock unified insights.

AI-Ready Data

Format and pool knowledge sets instantly to train smarter models.

Core Pillars

Four core pillars ensuring legal compliance, AI-readiness, cryptographic privacy, and federated data sharing.

1. Legal Trust Governance

Move beyond basic access controls. We establish clear legal roles—Trustor (Provider), Trustee (THiNK), and Beneficiaries (Users)—with a strict fiduciary duty to keep your data secure, ensure its quality, and manage access according to your explicit consent and compensation terms.

2. AI-Ready Data Maturity (DMM)

Not all data is ready for action. Our proprietary Data Maturity Model scores incoming data on best practices, AI-readiness, and licensing. By ensuring high-quality inputs, we give beneficiaries the confidence to train models and build intelligent agents.

3. Advanced Algorithmic Privacy

We go beyond standard encryption. Depending on the data type, we apply targeted privacy algorithms—such as Cryptographic Hashing for IDs and Differential Privacy for numerical aggregations—ensuring datasets retain their analytical value without compromising individual privacy.

4. Federated Data Service Layer (DSL)

Our robust architecture utilizes a Data Lakehouse for flexible, schema-agnostic ingestion. Data is processed securely and transferred via X-Road protocols, utilizing mTLS and comprehensive access logging to guarantee an unbreakable audit trail.

How the Data Trust Works

We provide a distinct, governed flow for Data Owners and Data Consumers ensuring security, exploration, and proper credentialing throughout the usage lifecycle.

DATA OWNER PROCESS

Data transferred via APIs

Data evaluated for quality and maturity

Meets quality & maturity thresholds?

Yes

Stored in Data Lakehouse with encryption and privacy

Shared Data Lakehouse

DATA CONSUMER PROCESS

Access certified through X-Road

Data exploration via THiNK dashboard or queries

Dataset useful for usage?

Yes

Data sharing agreement with trust

Data transferred from Lakehouse via X-Road

Platform Features & Architecture

Technological innovations ensuring robust privacy, seamless integration, and transparent auditing.

Architecture Menu

Architecture 01

Enterprise-Grade Security & Privacy

Utilizing differential privacy, homomorphic encryption, and secure enclaves to process sensitive data without compromising individual privacy. Datasets remain shielded while enabling critical cross-sector insights.

Architecture 02

Federated Data Service API

A flexible integration layer connecting standard Restful APIs with X-Road protocols. Empower data consumers to securely access multi-modal, schema-agnostic datasets seamlessly without manual data engineering.

Architecture 03

Immutable Audit Trails

Leveraging cryptographic hashing and transparent ledgers to trace every query, computational operation, and model training cycle, guaranteeing compliance with the Community Data Protection Act.

THiNK Chain Blockchain Architecture

Secure, immutable, and transparent verification of identity and digital assets