Product Integrations

Mondeca Autotag add-on for SharePoint

Auto-tagging made easy via SharePoint Automate feature. Select a document and simply requests for tags using Mondeca Autotag!

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Mondeca KB add-on for Word

Connect to your KB when using Word, find useful information in your knowledge base to perfect your reports!

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Mondeca KB add-on for Drupal

Integrates with the KB API to display term definitions into your node contents. When a KB tag is inserted into a text in a format supporting the tag, it is displayed as an infobox using core javascript libraries.

Built in Machine Learning Libraries

Leverage CAM’s built-in open-source ML libraries when web-based ML APIs are not ideal for your use case.

  • HUGGING FACE
  • TENSORFLOW
  • PYTORCH
  • SCIKIT-LEARN

Key Benefits

Cost Efficiency 

Keep control over your infrastructure costs without being tied to a subscription model.

 

Customization and Control 

Fine-tune algorithms, parameters, and preprocessing steps to better suit your specific use case

 

Scalability 

Scale your ML models and infrastructure according to your organization’s needs. You’re not constrained by API rate limits or pricing tiers, which can be limiting in high-demand situations.

 

Long-Term Availability 

Keep control over the stability and availability of the tools you’re using.

 

Regulatory Compliance

Using local ML libraries provides better compliance control, as data doesn’t leave your infrastructure.

Privacy and Data Security 

Process your data locally, reducing the risk of data exposure.

 

Performance and Latency 

Reach faster processing times compared to sending data over the internet to an external API.

 

Integration and Compatibility 

Built-in libraries are seamlessly integrated into CAM workflows, behind one single API.

 

Batch Processing and Large Datasets

Be more efficient and cost-effective for tasks that involve processing large datasets or performing batch operations.

 

Learning and Skill Development 

Encourage your developers and data scientists to learn more about the underlying algorithms and techniques for a deeper understanding of ML concepts and better problem-solving skills.