Unlock deep value from complex data ecosystems – without compromising security or privacy
Leverage AI to make pattern & insight discovery autonomous
The Hypothesis Engine autonomously analyzes data to generate insights and composite features, discover patterns, or hook datasets together.
Bypass human exposure to sensitive information
Row-level information can be hidden from certain datasets, while still providing view-only access to the data schema.
Analyze sensitive data without diluting its value
Work with raw, granular data as AI platforms sit between data sources and users, surfacing patterns from merged, “unseen” data sets.
Unlock new analytics and ML value with minimal risk
Maintain legal and regulatory compliance without compromise
Create new collaborative opportunities with secure data sharing
Maximum signal. Maximum privacy.
Overcoming the Signal / Privacy trade-off
Existing solutions for analyzing sensitive data either compromise privacy for signal or signal for privacy.
Anonymization and encryption have proven to be far less secure than originally envisioned, while aggregation and data synthesis sacrifice too much data granularity.
SparkBeyond leverages Blindfolded analytics to unlock deep value from data without sacrificing security or privacy.
Use cases for both internal and collaborative scenarios
Reimagine what’s possible with Blindfolded Analytics
Data partnership unlocks millions in sales in 5 months
A partnership renewal between global CPG and EPOS data vendor was made possible by facilitating analytics on daily-level category & brand sales data.
New target market created with dynamic risk scoring
Global financial institution targeted “un-lendable applicants” by leveraging previously-siloed internal and external datasets to increase nuance in risk scoring.
13x increase identifying at-risk cancer patients
Leveraged HMO's extensive patient data set to identify patients at risk for colon cancer. Results could then monetized by HMO as a physician alert system.
Data partnership unlocks millions in sales in 5 months
A partnership renewal between global CPG and EPOS data vendor was made possible by facilitating analytics on daily-level category & brand sales data.
New target market created with dynamic risk scoring
Global financial institution targeted “un-lendable applicants” by leveraging previously-siloed internal and external datasets to increase nuance in risk scoring.
13x increase identifying at-risk cancer patients
Leveraged HMO's extensive patient data set to identify patients at risk for colon cancer. Results could then monetized by HMO as a physician alert system.
