Privacy-Enhancing Technology tailored for secure data collaborations & business analytics



QEDIT leverages Privacy-Enhancing Technology (PET) to help enterprises acquire business intelligence and analytics via cross-company collaboration on sensitive data


Using data encryption methods based on advanced cryptography, we help companies extract valuable insights from externally-owned data sets while ensuring full privacy compliance.



Privacy-Enhancing Techniques employed by QEDIT:

Multiparty Computation

Compare and match records to discover intersecting data points, without revealing non-intersecting data

Homomorphic Encryption

Run calculations on aggregate encrypted data without exposing any underlying values

Zero-Knowledge Proofs

Generate proofs to verify statements about a value without divulging the value itself



Ready for the future

“By 2025, 50% of large organizations will adopt privacy-enhancing computation for processing data in untrusted environments and multiparty data analytics use cases.”


-Gartner Strategic Planning Assumption

ISO Certification

QEDIT is compliant with ISO 27001 and employs scalable, data encryption technology and privacy enhancing tools to offer a cost-effective SaaS solution that guarantees secure data analytics.

How it Works
Encrypt Your Datasets

Securely hash private records from your client browser before submitting encrypted data to QEDIT

Run Multiparty Analyses

Compare, match and verify data points, and perform secure computations on encrypted values

Gain Actionable Intelligence

Enrich your records with fresh insights to drive revenue, mitigate risk, and improve business analytics processes

Optimize Your Workflow

Keep your database synchronized and receive live notifications when new data insights are discovered

What leading authorities say about privacy enhancing technologies:

“[enables] previously unimaginable opportunities”

The World Economic Forum


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“eliminate(s) the collection of personal data”

US Senator Kirsten Gillibrand

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“crucial for the next stages of the data economy”

The European Commission


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