Resources, guides, and API documentation for the LatticaAI platform
Create an account on the LatticaAI platform to get started.
Upload your AI model through the platform interface. Our system supports various model formats.
Set up access controls, pricing, and resource allocation for your model.
Track usage, costs, and performance through the monitoring dashboard.
Download and install the Query Client SDK for your preferred programming language.
Obtain API credentials from the AI provider whose model you want to query.
Use the Query Client to encrypt your data before sending it to the platform.
Send encrypted queries, receive encrypted results, and decrypt locally on your device.
FHE allows computation on encrypted data without decryption. This means AI models can process your data while it remains encrypted, ensuring complete privacy.
HEAL is the hardware-agnostic API that powers LatticaAI, providing optimized FHE operations across different hardware platforms.
The Query Client is the SDK that enables end users to encrypt queries, send them to the platform, and decrypt results locally.
The process of running AI model inference on encrypted data, producing encrypted results without ever decrypting the input.
Understand the architecture and components of the LatticaAI platform.
View Architecture Docs →FHE allows computation on encrypted data. When you encrypt your query, the AI model can process it while it remains encrypted, producing an encrypted result that only you can decrypt.
Yes. Your data is encrypted before it leaves your device and remains encrypted throughout processing. Neither the platform nor the model provider can see your raw data.
The platform supports various AI model formats. Check the documentation for the complete list of supported formats and requirements.
Install the Query Client SDK, obtain API credentials from an AI provider, and start encrypting and sending queries. See the Getting Started guide above for detailed steps.
While FHE adds computational overhead, our HEAL technology optimizes performance to make encrypted inference practical for real-world applications.
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