The Saptharushi Journal

Ideas, insights, and perspectives from the people building what’s next.

Saptharushi in the Spotlight

A look at where we've been featured and what the world is saying.

Frequently Asked Questions

1. General Overview & Purpose

A data clean room is a secure collaboration environment that allows multiple participants to leverage data assets for mutually agreed-upon use cases while ensuring strict data access limitations.

Data Clean Rooms help organizations address key challenges in data sharing, including:

  • Consumer Trust – Ensures privacy while enabling actionable insights.
  • Loss of Scale in Addressability – Adapts to a privacy-first world without diminishing audience reach.
  • Risk to Business & Reputation – Reduces exposure to regulatory violations or misuses of data.
  • Secure data collaboration between owners and partners.
  • Compliant data monetization while protecting consumer privacy.
  • Audience enrichment & sharper targeting through privacy-preserving data operations.
2. Privacy & Compliance

Saptharushi’s multi-party federated clean room:

  • Implements SHA-256 hashing for Personally Identifiable Information (PII).
  • Enforces differential privacy controls with configurable security settings.
  • Uses distributed queries to prevent direct data exposure.
  • Records all transactions immutably on blockchain for transparency.

Yes, Saptharushi DCR is GDPR-compliant, adhering to Section 30 (data provenance requirements), and also meets HIPAA guidelines for secure data processing in healthcare use cases.

No, hashed PII data prevents reidentification and is classified as non-PII under regulations like CCPA.

Users can incorporate three levels of noise/distortion (High, Medium, Low), to the queries ensuring varying levels of non-traceability to the consumer data while extracting valuable insights from the datasets.

  • SHA-256 hashing prevents unauthorized data access.
  • Federated queries eliminate direct exposure of raw data.
  • Blockchain ledger maintains immutable transaction records.
  • Merkle proofs ensure data provenance and integrity checks.
3. Data Ownership & Storage

Data remains fully under control of the data owner, stored in an off-chain database within their private cloud environment.

No, at no point does PII data leave the owner’s infrastructure—ensuring security and compliance.

The data owner retains complete control over their data within the Private Configuration (PQS) setup.

No, Saptharushi acts only as a technology provider and does not store any participant data.

4. Architecture & Technology

Saptharushi DCR combines blockchain-based transparency with federated data processing, ensuring privacy while enabling multi-party collaboration.

  • Client Agent – A Private Querying Server (PQS) – Houses hashed first-party data with consent strings, a provenance node and chosen ETL pipelines, fully controlled by the data owner.
  • Federated Agent – A Federated Querying Server (FQS) – Offers various analytical applications through querying multiple PQS instances enabling audience discovery, engagement and attribution.

FQS allows multiple participants to collaborate in a privacy-first manner, enabling secure matching without raw data exchange.

Blockchain is used to:

  • Maintain immutable records of data operations.
  • Validate audience matching queries via cryptographic proofs.
  • Ensure compliance with data regulations by providing a transparent audit trail.
5. Data Collaboration & Permissions
  • PII data must be hashed before collaboration.
  • Private Configuration (PQS) must be hosted in the data owner’s cloud.
  • A mutually agreed identifier must be selected.

The Federation collectively owns the FQS node, ensuring no single entity has undue control.

Yes, upon approval from existing federation members, new collaborators can be integrated.

No, Saptharushi never has direct access to any form of participant data.

6. Federated Queries & Audience Matching

No, only hashed identifiers meeting specific query criteria are transferred for matching operations.

Matching occurs through federated queries, ensuring privacy-preserving computation across multiple datasets

Yes, predictive models can be hosted in the federated configuration or external systems, with audience matching seed data accessible via APIs.

Yes. The Private Query Server is designed to integrate Model Context Protocol that helps connect to Agentic Applications on the Federated Layer where predictive models can be built.

7. Operational Processes & Security Measures
  • All affected parties are immediately notified.
  • A mitigation plan is executed, including forensic analysis.
  • The party responsible may be held liable for legal and regulatory costs.
  • Blockchain-based provenance tracking ensures auditability.
  • Differential privacy prevents reidentification risks.
  • Multi-factor authentication & role-based access control safeguard data handling.
8. Platform Availability & Implementation

Yes, it is cloud-neutral, supporting AWS, GCP, and Azure. And On-Premise data sets as well.

Standard deployment is completed within one business day.

  • Cloud-specialized DevOps engineers for setup.
  • Data scientists for advanced analytics use cases.
9. Trust & Transparency Mechanisms

No, direct access to raw data is not permitted—ensuring compliance and trust.

Yes, a full provenance trail of access and query activity is available to all participants.

10. Investment & Business Use Cases

By enabling:

  • Privacy-compliant audience activation.
  • Secure data collaborations with federated access.
  • Monetization of insights via tokenized data exchange.

Saptharushi DCR supports:

  • Audience Identity Resolution
  • Profile Enrichment
  • Insights & Analytics
  • Audience Attribution & Measurement
  • Marketplace Integration

Frequently Asked Questions

Everything you’ve been wondering about the platform, the tech, and the mission.

Saptharushi is a decentralized, modular AdTech platform that helps brands and agencies activate first-party data in a privacy-first, consent-led ecosystem. It enables audience discovery, engagement, and measurement, all without moving or exposing your data.

Unlike legacy AdTech platforms that depend on third-party cookies and centralized data models, Saptharushi is built on decentralized architecture, native consent management, and verifiable provenance. Your data stays within your infrastructure – secure, private, and entirely in your control.

‘Privacy-first’ means consumer data is protected at every stage by design. ‘Consent-led’ means user permission is actively captured, honored, and transmitted throughout the full data lifecycle, from collection to activation.

No. Saptharushi is not a CDP. It does not store or centralize data. Instead, it connects directly to where your data already lives and activates it securely using federated clean rooms, enabling privacy-safe collaboration without exposure.

Saptharushi is built for modern enterprises across telecom, ecommerce, media, consumer goods, and finance. Whether you’re a brand, agency, or publisher, if you’re ready to activate first-party data responsibly, Saptharushi is for you.

Not at all. Saptharushi is built to ensure your first-party data never leaves your cloud. Our client-side components operate within your existing infrastructure, responding only to permissioned queries.

Yes. Saptharushi is cloud agnostic, modular, and designed to integrate seamlessly with your existing systems. It can be deployed on public, private, or hybrid cloud infrastructures, giving you full control over where your data resides and how it is accessed. The platform is built to operate across cloud environments and custom architectures without disrupting your current stack.

Absolutely. Saptharushi includes native tools for consent management, data provenance, and differential privacy, helping you stay fully compliant with global privacy laws like GDPR and CCPA and future-proof your marketing operations.with global regulations

The Consumer Wallet is a permissioned tool that lets users store and manage their consent preferences, data sharing controls, and earned incentives — empowering them to take ownership of their data in a transparent way.

It’s SaaS, but not in the traditional sense. Saptharushi offers flexible, enterprise-grade deployment models – Build, Operate, License, or Transfer – customized to your data ownership and governance requirements.

Yes, Saptharushi is already powering large-scale audience ecosystems for leading enterprises across telecom, media, CPG, and advertising – from a Telco Media Network for Bharti Airtel to audience marketplaces for Mondelez, Diageo, and GroupM, and a complete data platform for Saudi Research Media Group.

Just head to our contact page or click “Request a Demo” anywhere on the site. Our team will set up a walkthrough and explore how Saptharushi can help unlock value from your first-party data with privacy and precision.