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    • State-of-the-art technology tailored for secure data collaborations
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    Trusted by industry and Government, QEDIT leverages Privacy-Enhancing Technology (PET) to enable secure collaboration on sensitive data between parties.

     

    Using advanced cryptographic techniques, we help companies extract business-critical insights from confidential 2nd and 3rd party data sets, without exposing the underlying data itself.

     

     

    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 the need to decrypt it first

    Zero-Knowledge Proofs

    Generate proofs to verify statements about a value without revealing 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, patented technology to offer a cost-effective SaaS solution that guarantees the end-to-end security and privacy of your data.

    How it Works
    Encrypt Your Datasets

    Locally encrypt proprietary data from your client browser before submitting records to QEDIT

    Run Multiparty Analyses

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

    Gain Actionable Intelligence

    Enrich data with fresh insights to drive revenue, mitigate risk, and solve complex business problems

    Optimize Your Workflow

    Update records in your database and receive live notifications when noteworthy insights are discovered

    What leading authorities say about PET:

    “[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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