When this happens...
Workflow Data

Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
When this happensTriggers
A trigger is an event that starts a workflow.
Triggered when a workflow data is updated.
Action is the task that follows automatically within your Kadoa integrations.
Import data to your Nyckel classifier
Classify image or text data
Detect Objects center in images
Train your Nyckel classifier by adding more data

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Kadoa and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Kadoa triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Kadoa data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Kadoa and Nyckel typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Kadoa and Nyckel. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Kadoa is a versatile platform designed to streamline and enhance your project management and team collaboration efforts. With a focus on improving productivity and efficiency, Kadoa offers a suite of tools that facilitate seamless communication, task management, and project tracking. Ideal for teams of all sizes, Kadoa helps you stay organized and on top of your projects, ensuring that deadlines are met and goals are achieved.
Learn MoreNyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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