QEDIT’s enterprise solutions

A privacy-first approach to solving industry-wide challenges surrounding the use of shared data.


Private Asset Transfer

Distributed Ledger Technologies (DLT), like blockchain, have kickstarted an era of paradigm-shifting possibilities that enable significant efficiency gains across many industries and verticals. However, transparency on blockchains is a major barrier to adoption — transferring digital assets on a financial network, or tracking tokenized goods along a supply chain ledger, is not practical without a robust privacy layer that preserves transactional privacy and protects business interests.

QEDIT’s Private Asset Transfer Solution keeps transactional details off enterprise blockchains. The platform is compatible with any blockchain stack and powered by a horizontally scalable proof generation service comprised of cloud or self-hosted nodes that are owned and operated by companies in a blockchain consortium. Whenever assets are issued or moved, the transactor’s node generates a zero-knowledge proof that attests to the integrity of the transaction, while other nodes on the network are able to validate the correctness of the proof. A QEDIT-secured blockchain stores a history of all the proofs generated, rather than the raw transactional details that underlie asset transfers.


Proof generation nodes can host an unlimited number of wallets from which users can send and receive assets. They also support a range of features including atomic swaps for instant settlement, receipt issuance to confirm incoming transfers, the ability to assign an asset type to newly-issued tokens, and advanced auditing tools to facilitate regulatory compliance.


A powerful user management console provides a graphical interface for operators to monitor and review their own transaction histories, and keep tabs on their node’s performance and throughput. Developers can also utilize QEDIT’s SDK and API to interact with their node and create feature-rich applications.

Certification Management

In the GDPR compliance era, global consultancies and large organizations require new methods to track and manage the professional certifications held by employees, their most valuable asset. Qualifying bodies can no longer readily share certification results with enterprises due to data privacy protection laws, dramatically limiting the ability of companies to properly assess their capacities, allocate resources and plan for future growth.

Our Certification Management solution leverages multiparty computation and private set intersection to help enterprises achieve greater visibility into the status and distribution of employee credentials while remaining compliant with the GDPR.


The QEDIT-powered certification platform provides a secure way for companies and accreditors to compare the cryptographic commitments of their respective databases.  The commitments shared by enterprises are derived from company employee names while those shared by qualifying bodies are derived from a list of valid certificate holders. All commitments are generated by one-way functions to prevent leakage of the original data. Matches between the data sets reveal an accurate headcount of valid certifications within a company at any given time.


QEDIT’s certification platform is essential for large organizations that need to remain competitive in their ecosystem, stay compliant with privacy laws, and make informed business decisions based on real-time knowledge of employee qualifications.

Fraud Detection

Identifying fraud is a top priority for insurance companies in every industry.  While providers invest heavily in AI and machine learning technologies to reduce losses, these solutions have a limited impact when it comes to fraud that is only detectable through cross-organizational cooperation. Insurers cannot spot duplicate claims in a siloed environment.  This type of detection requires companies to share sensitive business data that they cannot openly disclose due to business and data privacy constraints.

Our fraud detection solution is designed for deployment in a cross-organizational environment and leverages multiparty computation and private set intersection to help companies share insights about claims data.


The QEDIT web console or API enables insurers to upload cryptographic commitments based on specific, preselected data from their company’s claims. The commitments are generated by one-way functions and cannot be decrypted to reveal the original data. Once uploaded and scanned for discrepancies or matches, insurers are notified of flagged accounts. QEDIT’s fraud detection solution preserves the privacy of users and protects proprietary insurance data in a collaborative setting.




Collaborative KYC

Establishing new business partnerships and integrating third party financial services into product offerings can be an excellent growth strategy for Fintech companies looking to remain competitive in a fast-paced industry.  However, getting these partnerships in place is no trivial matter. Financial service providers are required to perform KYC on any customer using their products, but Fintech companies who wish to offer third party services cannot share sensitive customer information.  This data must be safeguarded to prevent poaching and uphold compliance with data privacy protection laws.