Case
Studies
Our platform is still under construction, but that won’t stop us from creating real world partnerships to test and refine our ideas. Check out the case studies below.
Case
AML Credit Card Fraud DetectionX-Ray Image AnalysisPredictive MaintenanceBio BankBank Vendor ManagementHealthcare DiagnosticsSafe Paths
AML Credit Card
Fraud Detection
Competitors can collaborate for mutual benefit without giving up the farm.
Together, they can privately use each other’s data to achieve an overall reduction in fraud and get to higher levels of compliance.
1
2
3
1
Independent Financial Institutions Privately aggregate sensitive data.
2
The entire pipeline is blind to the information assets flowing through it.
3
Fraud detection companies can select features for the most accurate model training.
X-Ray
Image Analysis
With TripleBlind’s technology, everybody wins. AI models are less biased and more generalized due to the exponential amount of training data allowing for more accurate analysis.
HIPAA compliance is much easier to achieve, with no need for a BAA.
1
2
3
1
Independent Hospitals Privately aggregate x-ray image data.
2
The data is obfuscated for safety, security, and compliance.
3
A diagnostics company can train more accurate models with less biased results, with no possibility of reverse engineering the original data.
Predictive
Maintenance
Airlines need to predict remaining useful life of their engines.
Supply chains are a trade secret for parts suppliers, making predictive models less accurate.
Airlines, often complex partnerships of various manufacturers, can privately run predictive models on the airline data and determine the remaining useful life of their aircrafts and parts without ever having access to the raw data sets. The manufacturer networks are able to share information from airlines they don’t have direct relationships with.
1
2
3
1
Airlines gather data from engine sensors.
2
The data is made private and available to manufacturers and suppliers.
3
Rich feature selection allows manufacturers to aggregate data across all components from various suppliers and more accurately predictive engine maintenance schedules.
BioBank
Sample Platform
Allow your customers to run their algorithms on your ENCRYPTED data.
No chance of counter-party data breach.
Extract insights from the data without sharing raw data.
1
2
1
TripleBlind Customer loads data to the platform
2
Customer pay a fee to run algorithms against your encrypted data
Bank Vendor
Data Monetization
Vendors only ever interact with ENCRYPTED data — data breach at vendor does not leak bank’s data.
Vendors license novel algorithms to the bank because of IP Protection.
Bank controls fine grained permissions on data.
1
2
3
1
Prior to use, data is encrypted and DRM is used to ensure the data is only used for the agreed upon purpose
2
Customer pays a fee to run a churn algorithm and derive a churn probability
3
Customer pays a fee to test retention algorithm and derive a retention prescription
Healthcare Diagnostics
Remote Delivery
New revenue stream — License AI diagnostics algorithms without fear of reverse engineering.
Algorithms work on encrypted data — HIPAA compliance for free.
Deliver “Deep Medicine” globally.
1
2
3
1
IP is expensive to produce and remains un-monetized without encrypted operations
2
Healthcare Centers anywhere in the world can access cutting edge technology
3
Encrypted patient data is fed into the encrypted algorithm, for a fee, and a diagnosis is produced
COVID SAFE PATHS
Slow the spread
without giving up privacy
In partnership with MIT we’ve built a global scale open-source privacy-first citizen centric app that enables you to track if you’ve been potentially exposed to COVID-19.
The technological solutions to track COVID-19 Community Spread that we’ve seen coming out of the rest of the world are a slippery slope to mass surveillance. Our efforts enable the healthcare systems to avoid being overwhelmed without building a surveillance state. Our app is out on Android & iOS, with new versions released everyday. Learn more about COVID Safe Paths
BioBank
Sample Platform
Allow your customers to run their algorithms on your ENCRYPTED data.
No chance of counter-party data breach.
Extract insights from the data without sharing raw data.
1
2
1
TripleBlind Customer loads data to the platform
2
Customer pay a fee to run algorithms against your encrypted data
Bank Vendor
Data Monetization
Vendors only ever interact with ENCRYPTED data — data breach at vendor does not leak bank’s data.
Vendors license novel algorithms to the bank because of
IP Protection.
Bank controls fine grained permissions on data.
1
2
3
1
Prior to use, data is encrypted and DRM is used to ensure the data is only used for the agreed upon purpose
2
Customer pays a fee to run a churn algorithm and derive a churn probability
3
Customer pays a fee to test retention algorithm and derive a retention prescription
Healthcare Diagnostics
Remote Delivery
New revenue stream — License AI diagnostics algorithms without fear of reverse engineering.
Algorithms work on encrypted data — HIPAA compliance for free.
Deliver “Deep Medicine” globally.
1
2
3
1
IP is expensive to produce and remains un-monetized without encrypted operations
2
Healthcare Centers anywhere in the world can access cutting edge technology
3
Encrypted patient data is fed into the encrypted algorithm, for a fee, and a diagnosis is produced
COVID SAFE PATHS
Slow the spread
without giving up privacy
In partnership with MIT we’ve built a global scale open-source privacy-first citizen centric app that enables you to track if you’ve been potentially exposed to COVID-19.
The technological solutions to track COVID-19 Community Spread that we’ve seen coming out of the rest of the world are a slippery slope to mass surveillance. Our efforts enable the healthcare systems to avoid being overwhelmed without building a surveillance state. Our app is out on Android & iOS, with new versions released everyday. Learn more about COVID Safe Paths
AML Credit Card
Fraud Detection
Competitors can collaborate for mutual benefit without giving up the farm.
Together, they can privately use each other’s data to achieve an overall reduction in fraud and get to higher levels of compliance.
1
2
3
1
Independent Financial Institutions Privately aggregate sensitive data.
2
The entire pipeline is blind to the information assets flowing through it.
3
Fraud detection companies can select features for the most accurate model training.
X-Ray
Image Analysis
With TripleBlind’s technology, everybody wins. AI models are less biased and more generalized due to the exponential amount of training data allowing for more accurate analysis.
HIPAA compliance is much easier to achieve, with no need for a BAA.
1
2
3
1
Independent Hospitals Privately aggregate x-ray image data.
2
The data is obfuscated for safety, security, and compliance.
3
A diagnostics company can train more accurate models with less biased results, with no possibility of reverse engineering the original data.
Predictive
Maintenance
Aircraft manufacturers need to predict remaining useful life of their engines.
Supply chains are a trade secret for parts suppliers, making predictive models less accurate.
Aircraft manufacturers, often complex partnerships of various manufacturers, can privately run predictive models on the airline data and determine the remaining useful life of their aircrafts and parts without ever having access to the raw data sets. The manufacturer networks are able to share information from airlines they don’t have direct relationships with.
1
2
3
1
Airlines gather data from engine sensors.
2
The data is made private and available to manufacturers and suppliers.
3
Rich feature selection allows manufacturers to aggregate data across all components from various suppliers and more accurately predictive engine maintenance schedules.
How long do you want these files to remain secret?…
+I want them to remain secret for as long as men are capable of evil.
Get
Early Access
We’re hard at work building the TripleBlind platform, and we’re excited to share it with the world.