Register today to quickly, securely and privately identify and authenticate using touchless face, face with mask, voice and fingerprint biometrics.Create an account
Private Identity® never stores, transmits, uses or processes your personal or biometric information. Instead, we create a small 1-way hash of your biometric on your PC or phone. The original biometric is immediately discarded and all subsequent match and search operations occur in the encrypted space using fully homomorphic encryption (FHE).
Registration is free and you have full control. Login to manage your account at any time.
Private Identity® provides biometric identity, authentication, verification and search without the need to store, transmit or process usernames, passwords, email addresses, tokens, shared secrets or any other Personal Identifiable Information (PII).
Private Identity® protects individual privacy and exempts your organization from worldwide data privacy obligations by never storing, transmitting or processing biometric data as specified in IEEE 2410 Standard for Biometric Privacy.
To accomplish this, we use two DNNs that work hand-in-hand to encrypt and classify each biometric. The first DNN is a pre-trained mobile CNN that leverages TensorFlow® on the local device to acquire, pre-process, FHE transform and then discard face, face with mask, voice and fingerprint biometrics.
The second DNN is a pre-trained FCNN that classifies each FHE payload. This DNN is capable of processing an unlimited number of identities in constant time using fault-tolerant, load balanced elastic Kubernetes™ container(s).
Cloud Biometric MFA also deploys to Node.js or any server, private or public cloud to support high-throughput operations.
Start small and scale up to billions of employees, customers and partners without human intervention, even during peak usage.
Our microservices architecture is composed of three lightweight, elastic Kubernetes™ building blocks (enroll, predict and liveness) that communicate using RESTful APIs. These services provide resilience and scalability, enable customers to go to market faster and easily integrate and deploy with legacy and third-party services.
Private Identity® encrypts biometrics at the Edge using an ensemble of pre-trained TensorFlow® mobile DNNs to assure full data privacy and confidentiality. Edge computing removes the requirement to store, transmit or process plaintext biometrics, reduces data flow to the cloud by 99.95%, achieves massive horizontal scalability and enables users to authenticate offline.
Private Identity LLC is a Washington DC-based AI/ML software company that provides secure, accurate and private biometric identity across all major browsers, devices and platforms. The societal good achieved with fully homomorphic encryption is full privacy.
Our underlying technology was developed by a small group of top computer scientists and ML engineers. We converged on a solution to fully homomorphic encryption (FHE) in early 2018. Our first cryptography patent for FHE was granted in September 2019. Sixteen additional patents are granted or under application worldwide.
“If I have seen further it is only by standing on the shoulders of Giants.”
Mike is an entrepreneur experienced in high-growth technology ventures in biometrics, AI/ML, big data and cyber security. Prior to co-founding Private Identity, Mike served as VP and General Manager at Thomson Reuters, Executive VP and co-founder of Discovery Logic, CEO of thinkXML and CEO of Science Management Corp.
Scott is a highly regarded data scientist focused on cryptography, biometrics, AI/ML and cyber security, Scott currently leads "everything technical" at Private Identity, serves as Chair of Biometric Security for IEEE and chairs the IEEE 2410 Standard for Biometric Open Protocol. Prior to co-founding Private Identity, Scott served as CTO for a large biometrics company, was a research profesor for 30 years and supported the US Government for 26 years. Scott has authored key patents and papers in machine learning, biometrics and authentication.