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Privacy-preserving AI inference platform using Fully Homomorphic Encryption

LatticaAI is a privacy-preserving inference platform that enables AI models to process encrypted data without exposing raw information to model providers or the platform itself. The platform utilizes Fully Homomorphic Encryption (FHE) technology to allow computations on encrypted data while maintaining complete privacy throughout the inference process. The platform serves two primary use cases: AI providers can deploy models without accessing user data, and end-users can query models while keeping their data private. Data is encrypted in the user's browser before being sent to the cloud for processing, ensuring that sensitive information remains protected during AI inference operations. LatticaAI's inference engine is built on HEAL (Homomorphic Encryption Abstraction Layer), a hardware-agnostic API designed to bridge FHE software and specialized hardware. The platform supports various AI model types including sentiment analysis, image enhancement, health prediction, and digit recognition. The platform provides browser-based encryption capabilities, allowing users to encrypt data locally before transmission. LatticaAI offers documentation for both the platform and HEAL, along with technical whitepapers and FHE surveys for developers and researchers interested in implementing privacy-preserving AI solutions.
Common questions about LatticaAI including features, pricing, alternatives, and user reviews.
LatticaAI is Privacy-preserving AI inference platform using Fully Homomorphic Encryption developed by LatticaAI. It is a AI Security solution designed to help security teams with Browser Security.
Platform for securing AI models and autonomous agents across their lifecycle
FHE-based solution securing AI models and data throughout training and inference
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