Mayo Clinic Press Release

TripleBlind Collaborates with Mayo Clinic on Next Generation Algorithm Sharing and Training on Encrypted Data

KANSAS CITY, Mo., Dec. 15, 2020 (GLOBE NEWSWIRE) — TripleBlind announced today it is collaborating with Mayo Clinic researchers who will use TripleBlind tools to validate interoperability of encrypted algorithms on encrypted data and the training of new algorithms on encrypted data.

TripleBlind has created a rapid, efficient and cost effective data privacy focused solution based on breakthroughs in advanced mathematics, which will be used and validated by the Mayo team. No Mayo data will be accessed by TripleBlind.

Today, health care systems have to either transfer data or algorithms outside their institution for experts to train or conduct research. The encryption conduit being evaluated will eliminate the need for data transfer or for sharing the algorithm, thus protecting intellectual property. TripleBlind’s solution functions as the innovative data encryption conduit that keeps the data and intellectual property in the algorithm secure.

“We hope to demonstrate the potential of applying TripleBlind’s data privacy and data clean room solution to accelerate how we develop, test, and deploy AI solutions in healthcare, particularly amidst heavily regulated privacy concerns,” said Riddhiman Das, co-founder and CEO of TripleBlind. “We are eager to work together with Mayo Clinic to explore TripleBlind’s encryption tools and showcase real-world applications.”

The goal of this collaboration is also to demonstrate that TripleBlind’s toolset can be applied to train entirely new algorithms from independent entities anywhere in the world without the need to share raw data, thus preserving privacy and security while meeting regulatory standards.

“Training novel algorithms on encrypted data sets and facilitating trust between independent parties is critical to the future of AI in medicine. By using advanced mathematical encryption technologies, we will greatly enhance scientific collaboration between groups and allow for more rapid development and scalable implementation of AI-driven tools to advance healthcare,” said Suraj Kapa, M.D., a practicing cardiologist and director of AI for knowledge management and delivery at Mayo Clinic.

Mayo Clinic and Dr. Kapa have financial interest in the technology referenced in this release. Mayo Clinic will use any revenue it receives to support its not-for-profit mission in patient care, education and research.

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unmonetized due to privacy concerns and regulations. With TripleBlind, decision makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, without compromising safety.

For more information, please visit


Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind

Accenture’s Press Release

Accenture Makes Strategic Investment in TripleBlind to Bolster Data Privacy and Increase Data Collaboration Opportunities

Startup joins Accenture Ventures’ Project Spotlight program to accelerate go-to-market strategy

NEW YORK; Nov. 18, 2020 – Accenture (NYSE: ACN) has made a strategic investment, through Accenture Ventures, in TripleBlind, a data privacy and virtual clean room solution provider.

Sharing and extracting insights from sensitive data, such as patient records or tax returns can help accelerate cures for diseases or reduce financial crimes, yet, concerns around data privacy and governments regulations have prevented many companies from identifying these insights to date. TripleBlind helps enterprises share sensitive information with their stakeholders more effectively – without ever decrypting the data, helping them comply with regulatory requirements.

“Organizations can yield valuable insights and unlock trapped value by combining and collaborating around large volumes and different types of data, but in order to do this they need to trust that the privacy of that data is protected,” said Shail Jain, global lead for Data & AI Group for Accenture Technology. “We believe that TripleBlind not only has the capabilities to facilitate collaborative data exchanges, but to also give organizations confidence that data privacy remains intact.”

TripleBlind is now part of Accenture Ventures’ Project Spotlight, a deeply immersive engagement and investment program that targets emerging technology software startups to help the Global 2000 embrace the power of change and fill strategic innovation gaps. Project Spotlight offers extensive access to Accenture’s deep domain expertise and its enterprise clients, to help startups harness human creativity and deliver on the promise of their technology. Through the program, TripleBlind will co-innovate with Accenture at its Innovation Hubs, Labs and Liquid Studios, working with subject matter experts to bring its solutions to market more quickly and more effectively.


Accenture invests in TripleBlind, a data privacy and virtual clean room solution provider.


“The global market for big data and business analytics is projected to reach more than $500 billion by 2026. As that market grows, the pressure within enterprises to share data to uncover new revenue opportunities and gain competitive advantage will grow as well,” said Riddhiman Das, co-founder and CEO of TripleBlind. “TripleBlind’s next-generation cryptographic, efficient and scalable data privacy and virtual clean room solution can replace ineffective workarounds like complex legal contracts, data anonymization or deidentification, and other technologies such as homomorphic encryption, while helping to avoid regulatory statutes and data residency violations. Accenture Ventures’ investment and our participation in its Project Spotlight program will advance and accelerate our ability to help enterprises harness the potential of sensitive data.”

Tom Lounibos, managing director, Accenture Ventures, added, “Our investment in TripleBlind demonstrates Accenture Ventures’ commitment to cultivating the latest technologies, enhanced by human ingenuity, that solve for our clients’ most critical business needs. We believe that TripleBlind offers our clients a key to enhancing data privacy while ensuring regulatory compliance – a major challenge in today’s environment.”

TripleBlind is the latest addition to the investment portfolio of Accenture Ventures, which is focused on investing in companies that create or apply disruptive enterprise technologies.

Terms of the investment were not disclosed.

About TripleBlind

TripleBlind was founded in 2019 and is headquartered in Kansas City. It’s new data privacy and virtual clean room solution enables enterprises to leverage regulated data, such as PII and PHI, and enterprise-sensitive data without violating GDPR, HIPAA, the California Consumer Privacy Act (CCPA), data residency and other standards. For more information, please visit

About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at

Christina McDonald
+1 415 537 7997

Victoria Guimarin
UPRAISE Marketing + PR for TripleBlind
+1 415.397.7600

Interview with Co-founder Riddhiman Das


My name’s Riddhiman Das. I am CEO and co-founder of Triple Blind, and Triple Blind does privacy as a service. What that means is we enable parties to work together on data that’s sensitive because of regulatory reasons, or competitive reasons, or just plain consumer privacy reasons. And we allow those data sets to be used without violating their privacy. What motivated me to found Triple Blind was the fact that we have so much data that is being stored by enterprises, and in large companies, and banks, and healthcare institutions that just never sees the light of day. The problem Triple Blind solve for companies is one of two, typically. 

One, is either providing access to data that has historically been inaccessible because of the sensitivity around that dataset. On the other side, there are companies that have lots of data that they know is valuable to third parties, but they don’t allow them to access because of the sensitivity around that data. So, this, essentially, Triple Blind allows the latent datasets of those organizations to be monetized safely and securely without exposing them to any regulatory violations or compliance hurdles.

So, how Triple Blind is better than existing solutions is the ability to operate at scale on any kind of data on any operation. What that means is we actually can handle big data. We can do deep neural network training. We can do data processing. We can just do statistical modeling on any kind of data. This can be voice, text, video, tabular data, or images. The reason why it’s faster is because it’s not a CPU-bound isomorphic encryption. It is not hardware-bound like secure enclaves, and you don’t have to use an approximation of the data like synthetic data. This is applicable in medical fields or anywhere where you need to use real data and actually use the outliers in your analysis, as opposed to masking the outliers as you would in synthetic data.

Triple Blind’s mathematical breakthrough eliminates the need for those oblivious transfers. You accumulate less errors as you are progressing. And at the end, we offer the exact same accuracy and precision as if you were operating on unencrypted data. And it happens significantly faster than was ever possible before. In a particular healthcare use case, we enabled our healthcare partner to build an algorithm using EKGs of the heart. In this particular example, we worked with EKGs. We enabled our healthcare partner to build an algorithm that detects atrial fibrillation of the heart 13 years before their best cardiologist’s manual diagnosis. And this algorithm had significant IP and lots of… They spent millions of dollars in building this algorithm, so we were able to encrypt this algorithm using a novel invention by Triple Blind, where this protected the intellectual property and the algorithm as it was licensed to third party countries. And the specific privacy regulation in those countries was also respected because the data that was sent to this algorithm was encrypted and de-identified at the time of sending.

In financial services, what typically happens is that there are data silos. No individual, typically banks, or uses just one financial institution. We may have a credit card at a bank A, we may have a checking account at bank B, we may have an investment account and investment brokers at C. And in those cases, if you just build your anti-money laundering, or anti-terrorism funding, or credit card fraud examples with one of those datasets, you are potentially missing out on the complete financial picture of the person. We’ve been able to protect the privacy of the bank’s customer data as well as the bank’s proprietary information about that customer, while still allowing the data analyst company to have a more complete financial picture of the person, and build a more accurate and a more generalizable credit card fraud detection algorithm.

We’re very excited about Accenture’s investment because it shows that this technology is not just a scientific experiment in a lab. It is a real-world product that can be deployed today. So, Accenture’s investment reinforces to us that our particular technology approach here is credible and is market-ready so that it can be deployed at not just the customers that we sell to directly, but with Accenture’s channel partner here. It really enhances our go-to-market journey. It’s really unusual for Accenture to invest in what is our pre-seed round. We are the youngest investment ever by Accenture in the earliest stages of a company, which really shows that the conviction they had in Triple Blind and its ability to solve this problem.

Some of our angels include Brian McClendon, who was the founder of Google Maps, and Google Earth, and the founder of Uber Maps as well. They include Manik Gupta, the Chief Product Officer of Uber, as well as people that have started and sold technology high-scale businesses in the past. In addition to that, we have had participation from Flyover Capital, a partner that we’re really excited about. The fundamental design principle that we’ve used in Triple Blind is to essentially be the Stripe of privacy. Triple Blind, similarly, is accessible to any engineer or product people with very little overhead. You can get up and rolling in under a day. If you want to try this, and you think Triple Blind can help you access more data, or safely, securely, let others access your data or comply with privacy regulation via technology, please reach out at We’ve got wonderful use cases that you can study to see how it might be applicable in your use case. You can get a demo or you can just drop us a note at