Our Technology
Fusing deep research and practical application for revolutionary privacy-powered AI & analytics
HintSight's technology enables the usage of shared AI & analytics models without privacy concerns, or long processing time
Overview
Harmonizing Privacy, Accuracy, and Speed in AI-as-a-Service Ecosystems.
In the AI-as-a-Service landscape, achieving a harmonious balance between privacy, accuracy, and speed is paramount yet challenging, especially when data owners and model providers are distinct entities bound by regulatory demands for data confidentiality.
Traditional FHE techniques have effectively addressed privacy and security by allowing computations on encrypted data, but at the cost of computational speed, which is vital for practical, real-world applications.
Our innovative PP-NN technique breaks through these barriers, offering a solution that not only upholds strict privacy and security for customer data, but also enhances processing speed. This advancement enables organizations to confidently utilize AI and analytics models, transforming the potential of AI-as-a-Service models for rapid, accurate, and private deployment in a diverse array of industries.
How it works
1
Solutioning
Infrastructure
HintSight solution is divided into two neural networks by transfer learning: an open network with plaintext and a private network with encrypted text. This saves computational overhead as only the fine-tuned layers of the AI-as-a-service model are encrypted and process ciphertext computations.
2
Protection
Encryption
User data is encrypted when it is sent to the AI model to ensure sensitive data is protected regardless of environment.
3
Computation
Optimized FHE functions
HintSight uses mathematical optimizations on FHE algorithms such as modulus operations and non-linear activations to enable significantly faster computation on encrypted data.
4
Results
Better Performance
All these factors lead to better performance in terms of efficiency and accuracy. Our short processing time also allows us to scale across different industries.
Use Cases
Deploying HintSight across various industries
Healthcare
Patient data, crucial for disease prediction, treatment analysis, and personalized care plans.
Technology
User data, essential for recommender systems, personalized advertising, and sentiment analysis.
Financial Services
Financial data, vital for fraud detection, credit risk analysis, and investment recommendations.
Smart Cities
Citizen data, key for biometric identification, public safety, and individual ministry use-cases.
