Admin Console

The Admin Console allows users to manage general account and organization settings, including adding or removing team members and configuring custom LLM endpoints. It also offers tools to view billing and subscription details, and includes a comprehensive Usage dashboard to monitor all computational activity. Admins can also connect data from external connectors such as Amazon S3 and Microsoft Azure. You can access the admin console by clicking on the Settings icon in the Profile section. Corvic Admin Console

Data Connectors

Connect external data sources to seamlessly integrate your data into AI workflows. We currently supported the following providers:

Amazon S3
Azure Blob Storage

Create Data Connector

To add a new connector, click the Add Data Connector button and select the provider you wish to connect to.

For Amazon S3, the following fields are required:

Name: A unique identifier for your connector.
Prefix: The path within your S3 bucket where data is stored (e.g., folder/subfolder).
Access Key ID: Your AWS access key used for authentication.
Region: The AWS region where your S3 bucket is hosted (e.g., us-west-2).
Secret Access Key: The secret key paired with your Access Key ID.

For Azure Blob Storage, the required fields include:

Name: A unique identifier for your connector.
Account URL: The full URL of your Azure Storage account (e.g., https://youraccount.blob.core.windows.net).
Prefix: The path within your Azure container where data is stored.
Authentication Method: Choose between Account Access Key or Shared Access Signature (SAS), then enter the corresponding credential in the field provided.

Validate Data Connector

You can verify the connection by clicking the Validate icon, as shown in the image. This step ensures that the connector is correctly configured and that data is accessible from the specified path.

Edit Data Connector

You can edit the details of a data connector at any time by clicking the Edit button in the menu. This is useful for updating credentials or configuration settings to maintain seamless access to your external data sources.

⚠️

Data Connectors can be added, edited or removed only by Admins of an organization.

LLM Integrations

Bring your own Large Language Model for agent completions, giving you more control over your AI workflows.

Compatible API types:

OpenAI Generic - To create a custom OpenAI Generic endpoint, a LLM endpoint URL, Model name and API Key are required. Works with:

OpenAI Azure - To create a custom OpenAI Azure endpoint, API version, API Key and either a Resource Name and Deployment ID or a Base URL are required. Works with:

Azure

Create LLM Endpoint

To add a new custom model, click on Add LLM Endpoint button and choose the API type that best matches your setup. Then, click Continue and fill in the required details.

⚠️

Only 5 LLM endpoints can be added per organization.

Validate LLM Endpoint

You can verify if a custom model endpoint is working correctly by clicking the Validate icon, as shown in the image. Validating your endpoint ensures that the connection is properly configured and that the model can respond as expected—helping you avoid issues during deployment or usage.

Edit LLM Endpoint

You can edit the details of a custom endpoint at any time by clicking the Edit button from the menu. This is useful for updating API keys to ensure your model continues to perform as expected.

⚠️

LLM Integrations can be added, edited or removed only by Admins of an organization.

Member Management

Member Management allows the admin to invite new users to the organization, assign roles, and manage access levels. Admins can also remove existing members when needed, ensuring the right people have the right permissions. To do this, go to the "Members" section in the Admin Console.

To invite new members to your organization, click the Invite Members button, then enter the user's email address and assign a role. The invited member will receive an email with a link to join the organization. You can track all pending invitations under the Pending tab on the Members page. Once the invitation is accepted, the user will appear as an Active member under the Joined tab.

⚠️

An organization can only have 10 members.

You can edit roles of existing users to be either an Admin or a member of the organization. Users with the Admin role have the ability to invite new members, manage roles, and add custom LLM endpoints. However, an admin cannot downgrade their own role, and the organization must always have at least one admin. Multiple admins are supported, ensuring flexibility in managing team responsibilities. Members, on the other hand, have limited access and cannot perform administrative actions. Admins can also remove them from the organization if needed.

Usage Dashboard

The Usage Dashboard helps users track and monitor detailed usage statistics across the organization. It provides insights into data storage, pages or rows parsed, and agent query activity over time.

Subscription Plans

There are two subscription plans available: Premium and Enterprise. Each plan offers a distinct set of features tailored to different need.

The Premium plan includes the following features and is priced at $1000 per month:

Users: Up to 10
Deployed Agents: 1
Storage: Up to 10 GiB
Pages Parsed: Up to 10K pages
Rows Parsed: Up to 10M rows
Query: Up to 10K queries
Multi-modal parsing
Intelligent image/table GenAI labeling
Multi-space embeddings generation
Multi-modal agents
API access

The Enterprise plan includes the following features:

Unlimited Users!
Unlimited Deployed Agents!
Unlimited Storage!
Pages Parsed: Up to 1M pages
Rows Parsed: Up to 1B rows
Query: Up to 100K queries
Multi-modal parsing
Intelligent image/table GenAI labeling
Multi-space embeddings generation
Multi-modal agents
API access

All users are initially onboarded with a 30-day free trial of the Premium plan. After the trial ends, access to certain features will be restricted until the user upgrades to a Premium or Enterprise plan.

Trial end limitations

After the trial period ends, users will retain access to all existing data within their rooms. You can continue to view feature views and explore space visualizations. However, actions that require computation—such as chatting with agents or adding new data—will be restricted. Users will still have the ability to delete their data at any time if needed.

Below is a list of features that become unavailable once the trial period expires.

Creating new rooms
Creating pipelines
Adding additional data to pipelines
Running Quick Mode
Creating Feature Views
Creating Spaces
Creating Agents
Chatting with agents
Updating agent configuration
Adding custom LLM Endpoints
Inviting new members