Model Management

Model Management allows providers to securely deploy and manage their AI models on the LatticaAI platform.

Prerequisite: AI Providers Registration

To access LatticaAI’s Model Management features, providers must:

• Sign Up: Register on the LatticaAI platform and complete the onboarding details.

• Choose Your Management Interface:

  • Use the Web Management Console for a streamlined, browser-based experience —or—

  • Install the Management Client if you prefer to integrate directly via our SDK.

Both options support full model deployment and management workflows - choose the one that fits your development style.

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Model Management Workflow

To use your AI model with LatticaAI, follow these steps:

1

Consultation and Model Deployment

Contact us to evaluate whether your AI model is suitable for encrypted data processing.

If the model is compatible, deploy it to the LatticaAI backend using the Management Client.

2

Homomorphic-Ready Model Creation

LatticaAI will transform the deployed model to create a homomorphic-ready version for encrypted data processing. Once this process is complete:

• The model's status in the system will change from "Pipeline Pending" to "Active".

• The updated status will be visible in the Web Console, allowing the provider to manage and utilize the model for encrypted data interactions.

3

Manage Your Model

After deployment, you can manage your model through the web console or Python SDK.

Change Model Settings:

• Status: Set the model as active or inactive.

  Queries can only run on active models that have at least one linked worker assigned to process the requests.

• Name and Description: Update the model’s name or description to keep records accurate.

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Quick Links to How-To Pages

For detailed steps, refer to the following guides:

• [How-To: Install Management Client]

• [How-To: Deploy Model]

• [How-To: Update Model Setting Parameters]

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