LatticaAI Documentation
  • Welcome to LatticaAI
  • Conceptual Guide
  • Architecture Overview
    • Management Client
    • Query Client
  • Platform Workflows
    • Account Management
    • Model Management
    • User Access Management
    • Query Submission
    • Credit Management
    • Worker Management
  • How-To Guides
    • Client Installation
      • How-To: Install Management Client
      • How-To: Install Query Client
    • Model Lifecycle
      • How-To: Deploy AI model
      • How-To: Modify AI Model Settings
    • Access Control
      • How-To: Create User Access Token
      • How-To: Modify User Access Token Setting
      • How-To: Remove Token's Assignment
      • How-To: Assign Token to Model
      • How-To: See List of Tokens
    • Resource Management
      • How-To: Start Worker
      • How-To: Stop Worker
      • How-To: Monitor Worker Performance
    • Secure Query Processing
      • How To: Upload Evaluation Key
      • How-To: Encrypt Input Message
      • How To: Execute Query
      • How-To: Decrypt Output Data
      • How-To: Encrypt, Execute, and Decrypt in One Step
    • Account and Finance Operations
      • How-To: View Payment Transaction History
      • How-To: Update Account Information
      • How-To: View Credit Balance and Add Credit to Your Account
      • How-To: Monitor Balance and Usage
  • Demo Tutorials
    • Image Sharpening with LatticaAI Demo Tutorial
    • Sentiment Analysis with LatticaAI Demo Tutorial
    • Health Analysis with LatticaAI Demo Tutorial
    • Digit Recognition with LatticaAI Demo Tutorial
    • Zooming Into Each Step of Demo Run with LatticaAI flow
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  • Prerequisite: AI Providers Registration
  • Model Management Workflow
  • Quick Links to How-To Pages

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  1. Platform Workflows

Model Management

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

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Last updated 2 months ago

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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—

    • 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.

Model Management Workflow

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

1

Consultation and Model Deployment

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

If the model is compatible, 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.

:

  • 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.

Quick Links to How-To Pages

For detailed steps, refer to the following guides:

  • [How-To: ]

  • [How-To: ]

  • [How-To: ]

Install the Management Client
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deploy it
Change Model Settings
Install Management Client
Deploy Model
Update Model Setting Parameters
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