TripleBlind has created the most complete and scalable solution for privacy enhancing computation.

The TripleBlind solution is software-only and delivered via a simple API. It solves for a broad range of use cases, with current focus on healthcare and financial services. The company is backed by Accenture, General Catalyst and The Mayo Clinic.

TripleBlind’s innovations build on well understood principles, such as federated learning and multi-party compute. 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 ensuring compliance with all known data privacy and data residency standards, such as HIPAA and GDPR.

TripleBlind compares favorably with existing methods of privacy preserving technology, such as homomorphic encryption, synthetic data and tokenization and has documented use cases for more than two dozen mission critical business problems.

TripleBlind has created the most complete and scalable solution for privacy enhancing computation. The TripleBlind solution is software-only and delivered via a simple API. It solves for a broad range of use cases, with current focus on healthcare and financial services. The company is backed by Accenture, General Catalyst and The Mayo Clinic. TripleBlind’s innovations build on well understood principles, such as federated learning and multi-party compute. Our innovations radically improve the practical use of privacy preserving technology, by adding true scalability and faster processing, with support for all data and algorithm types. TripleBlind natively supports major cloud platforms, including availability for download and purchase via cloud marketplaces. TripleBlind unlocks the intellectual property value of data, while preserving privacy and ensuring compliance with HIPAA and GDPR. TripleBlind compares favorably with other privacy preserving technologies, such as homomorphic encryption, synthetic data, and tokenization and has documented use cases for more than two dozen mission critical business problems.

The xCures platform accepts all types of structured and unstructured medical records, preparing them for further interrogation and interaction by cleaning, de-duplicating, classifying, and enriching them with metadata. 

xCures’ verified extraction process produces a standardized, comprehensive clinical record for each patient. Every data element is traceable to its source document.

The AI-ready output is available through the xCures Platform UI, standard REST API integrations, and via flexible export and sync options.

Within the xCures Platform interface, users can access configurable patient checklists, find records or documents of interest, review patient medical histories, as well as cohort and summary data.

The xCures platform delivers decision-ready intelligence that accelerates clinical insights and reduces the operational burden of working with complex medical records. 

xCures® operates an AI-assisted healthcare data platform that reduces the operational burden of working with complex medical records.

The platform accepts structured and unstructured medical records gathered across multiple sources (QHIN, Carequality, TEFCA’s IAS, client-owned data, and legacy systems).

After ingestion, the platform prepares the records for further interrogation and interaction by cleaning, de-duplicating, classifying, standardizing, and enriching them with metadata. 

xCures’ validated information-extraction methods can produce decision-ready intelligence about each patient.

The output is seamlessly delivered to client tools and workflows through the xCures Platform UI, standard REST API integrations, and via flexible export and sync options.

The platform is designed for speed and flexibility, so users can: 

• Access configurable patient checklists
• Easily find records or documents of interest
• Review patient medical histories
• Access cohort and summary data

With every data element linked to its source document, users can always trust and verify the output.

The platform serves as a semantic layer for healthcare data: built for interoperability, grounded in verifiable sources, and designed to present the right information to the right person at the right time. 

xCures is a leader in clinical information extraction. This is what sets us apart:

• xCures has been using AI to extract information from medical records since 2018
• All data extraction models are validated, and clients receive contextual performance metrics
• Easy-to-use, customizable checklists that display extracted data elements, linked to their source documents.
• The xCures Platform allows for rapid reconfiguration without long development cycles
• Extracted data elements can be easily incorporated into existing workflows
• xCures does not take data rights