Next Level Data Collaboration for the New Data Economy
Powered by Privacy-Enhancing Technology, QEDIT is an enterprise-ready, secure data collaboration platform trusted by industry and government.
Validated by Market Leaders
Core Features
Immediate Value Creation
Seamlessly onboard new data and partners to swiftly acquire actionable business insights
GDPR/CCPA Compliance
Protect PII and sensitive user information while engaging in data sharing initiatives
Configurable Governance
Securely define and manage your company’s terms for collaboration with competitors and partners
Automated, Real-Time Insights
Process records on a rolling basis for ongoing segmentation and up-to-date results
Streamlined Decision-Making
Fill knowledge gaps to gain a holistic view of your data and make smarter business decisions
Cross-Industry Applications
QEDIT empowers companies in any business ecosystem to adopt new data collaboration tools, exchange insights and make sharper, more informed decisions.
QEDIT for Business Growth
Gain critical customer intelligence from new and existing business partners to drive joint ROI, increase market share and inform innovative growth strategies.
QEDIT for Data Monetization
Monetize data insights and create new sales funnels by verifying identities, establishing industry benchmarks, and facilitating regulatory enforcement.
QEDIT for Risk Mitigation
Bolster your fraud detection capabilities, prevent crime and reduce investigation costs by cross-referencing encrypted data points against records held by other organizations.
QEDIT is transforming the way businesses interact, making risk-free data collaboration possible and profitable. We help companies:
Overcome trust barriers
Securely engage with other companies while protecting sensitive business information and your competitive edge
Comply with regulations
Future-proof your collaborations and comply with tightening regulatory frameworks designed to protect consumer data
Manage security risks
Employ secure data transfer methods, maintain ownership over raw data and steer clear of leaks that could result in reputational and financial damage
As Seen In
