Selfii acquires Privacy Suite by TripleBlind, launches novel firewall solution that overcomes historic barriers to the secure exchange of protected health information without needing de-identification
ALAMEDA, Calif.–(BUSINESS WIRE)–Selfii, the leader in privacy-preserving health data solutions for individuals and healthcare organizations, today announced the launch of TripleBlind Exchange, a first-of-its-kind data marketplace enabling secure, HIPAA/GDPR-compliant access to protected health information (PHI) without the need for traditional de-identification methods, marking the solution as a novel alternative to current market offerings.
“Selfii’s acquisition of Privacy Suite, which has enabled the deployment of our TripleBlind Exchange, unlocks unprecedented data collaboration across the healthcare landscape,” said Anil Sethi, founder and CEO of Selfii, “and eliminates technical and governance barriers that have long hindered effective innovation and modern healthcare solutions.”
Selfii acquired TripleBlind’s Privacy Suite in 2024. Selfii’s exclusive, patented privacy algorithms allow application developers to access data, plus large language models (LLMs) to train and then deploy models on the TripleBlind Exchange.
By leaving data in place but still having complete access to PHI, partners can build data-driven applications and engage in data monetization through Selfii’s novel solution. This new tool maintains HIPAA-compliant privacy while offering the unique opportunity for users to buy, sell and rent data, all while preserving confidentiality.
Renowned HIPAA-privacy expert Bradley Malin, PhD, confirmed TripleBlind’s exclusive compliance stating, “The data protection models in TripleBlind meet the de-identification requirements set forth in the HIPAA Privacy Rule and state-level consumer data protections acts, such as CCPA.”
“Across my 40-year career in the health tech industry, I’ve seen firsthand how critically needed innovation has been thwarted by fragmented data and rigid privacy barriers,” said Sethi.
Sethi added, “Our novel TripleBlind Exchange overcomes these limitations by enabling analytics as usual, but keeping PHI completely protected. Healthcare providers, researchers and AI developers can now use sensitive, high-quality data to unlock insights and drive breakthroughs—without compromising patient privacy.”
The market for de-identified healthcare data, valued at $8.09 billion in 2024, is projected to reach $13.5 billion by 2030. TripleBlind Exchange is the only solution to accomplish the opposing goals of complete protection while also allowing full data access for analytics.
“Partnering with TripleBlind has transformed how we report for a critical liver cancer prevention and hepatitis screening program across Federally Qualified Health Centers in South Texas,” said Catherine K. Craven, PHD, MA, MLS, FAMIA, Fellow, American Medical Informatics Association and current customer of TripleBlind Exchange. “What once took days of manual effort is now accomplished in minutes, allowing us to focus on improving care for underserved populations.”
As TripleBlind Exchange is now available to all healthcare organizations and, soon-to-come individuals, key benefits to the healthcare market include:
- Ability to train AI models and analyze large datasets, in place, securely to improve clinical outcomes,
- Bringing data and algorithms together across organizations with configurable privacy to speed up the development of new therapies and technologies,
- Connecting global datasets and algorithms for a 360 view of patient care.
About Selfii
Emerging to become the largest patient data network in the U.S., with partnerships spanning over 20 state and regional health information exchanges (HIEs, plus TEFCA and the National Networks), Selfii currently supports more than 128 million individuals nationwide, making it a vital enabler of privacy-first health-tech innovation.
To explore Selfii’s groundbreaking solutions for secure and scalable data sharing, visit www.selfii.com.
Contacts
Innsena for Selfii
desireelindsay@innsena.com