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Getting started

Login to the Karelics Cloud

To access Karelics Cloud, you need an active account.

Steps

  1. Open https://karelics.cloud.
  2. Enter your email and password, or choose Sign in with Google or Sign in with Microsoft (SSO). See SSO feature for setup details.
  3. Press Sign in.

Login screen

tip

Remember me keeps you signed in on this device. Use it only on personal or trusted computers.

Forgot password?

  • If you forgot your password → use Forgot password? link.
  • If SSO is enabled in your organization, you will be redirected to your company’s login page. Learn more in the SSO feature.
  • For access issues, contact your workspace admin.
  • If you’re having trouble logging in, contact our support team at support@karelics.fi.

Add new project

This guide explains how to add a new project in Karelics Cloud.
Projects help you organize robot operations under a specific location, client, and timeframe.

1. Start in Admin Hub

  1. Open the Admin Hub.
  2. Click Add new project.

Admin HUB


Fill in General Information

When you add a new project, you can fill in the following fields:

  1. When is the project implemented?
    • Select the project start date from the calendar.
    • The end date can be left empty for continuous usage.
    • You can modify these dates later if needed.
  2. Name
    • Enter a descriptive name for your project (e.g., Stuttgart Inspection 2025).
  3. Fill in the address details:
    • Address (location name)
    • Street and House number
    • City and Country
    • Zip code
    • Time zone
  4. Use the Find address on map button to automatically locate the project on the map.
  5. Verify the red pin is correctly placed on the map.

Add new project form


Save the Project

  1. Click Save to create the project.
  2. The new project will now appear in the project list under Upcoming, Running, or Past, depending on the selected dates.

Multi‑Project Support

Karelics Cloud allows you to manage multiple projects at the same time.
This helps you organize operations across different sites, clients, or time periods without mixing data.

Learn more on the Multi‑Project Support page.


2. Configure Module Library

Admin HubProjectsCurrent ProjectAdvancedModule Library

Add capabilities to the project by managing project‑specific modules available for your robots.

Ptoject info


3. Configure Project Team

Admin HubProjectsCurrent ProjectProject Team

The Project Team permission management includes all members of your company. Depending on the assigned role, members can manage that project and its assets.

You can invite, remove, and assign roles to users from your company, and to users from other companies (external).

Project Team

What each role can do:

Role (description)Read project / project.read_projectUpdate project / project.update_projectManage users / project.manage_userInvite users / project.invite_userAssign device / project.assign_deviceOperate device / project.operate_deviceManage maps / project.manage_mapManage map data / project.manage_map_related_data
Project Configurator — Views project; edits maps; operates devices; manages map data & users
Project Manager — Views project; operates devices; manages map data & users
Project Device Operator — Views project; operates devices; manages map data
Project Viewer — Views project (devices, maps, positions, related data)
Permission management

The Project Team permission management includes all members of your company. Depending on the assigned role, members can manage that project and its assets.

Learn more in the Permission management page.


4. Configure Project AI Settings

Admin HubProjectsCurrent ProjectAdvancedSettings

Configure project‑level options.

Ptoject info

Photo Documentation

Toggle automated face blurring for assets captured by robots or uploaded by users. When enabled, the system anonymizes detected faces before the files appear anywhere else in the project.

info

Existing photos remain unchanged; only new uploads (or captures) are processed after the toggle is turned on.

AI Settings

Run object detection on photos — scans new images and tags them with the selected AI annotation categories. Disable the toggle to skip photo-level AI processing.

Run object detection on videos — performs the same classification for uploaded videos when enabled. Use the dropdown to restrict detections to the categories relevant to the project.

Custom visual LLM service

Provide the Service URL, Model name, and API key to override the built-in AI engine. Once configured, all image and video detections for this project run through the connected provider.

Reporting

Activate the hourly newsletter to email AI detection summaries. Choose which annotation categories should appear in the digest and list the recipients who need the updates.