Multimodal AI

Example Customer

Research Hospital

Data Owner

Hospitals, Diagnostics centers, Pharmaceutical Developers

Data Users

Hospitals, Diagnostics Centers

Type of Data

Any Image, Text, Tabular, Voice, Video, or Sound Data

Summary of Pain Point

Predictive and generalizable AI models need different data types, used together in training.

Multimodal AI can be difficult without the right tools, and presents compliance difficulties, as de-identification and regulatory hurdles require a careful, educated, and often expensive approach.

Summary of TripleBlind’s Solution

TripleBlind eliminates the barriers to multimodal AI by offering an easy-to-use set of Blind AI Tools.

With privacy enhancing computation, all types of data can be combined to train a model –– while retaining compliance with all regulations, simultaneously and mathematically.

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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.