Audience Overlap

Example Customer

Multinational Life Sciences Corporation

Data Owner

Pharmaceutical Developers, Hospitals

Data Users

Artificial Intelligence (AI) and Machine Learning (ML) Model Developers

Type of Data

Clinical Trial, Health Records, Pharmacy Records, Fitness Tracking Data

Summary of Pain Point

Combining PHI and PII is a privacy nightmare.

Synthetic data or other means of ‘creating’ more data points are no substitute for access to real-world, quality datasets.

Summary of TripleBlind’s Solution

Matching diverse datasets based on customers-in-common from larger cross-sections of our digital lives builds more quality data for training and leads to more accurate models.

PII can be matched privately (“blindly”), and used to create a ‘super set’ of attributes (i.e. equivalent to an SQL Join)

Aggregated data can be used for analysis, model building, and more with privacy enhancing computation.

Attributes returned are controlled, query is “permitted” beforehand, and audit trails are created

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TripleBlind’s innovations build on well understood principles of data protection. Our innovations radically improve the practical use of privacy preserving technologies, by adding true scalability and faster processing, with support for all data and algorithm types. We support all cloud platforms and unlock the intellectual property value of data, while preserving privacy and enforcing compliance with HIPAA and GDPR.