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AI and automation

TensorFlow Teaching and delivery of models

TensorFlow offers tools to build and implement machine learning models. It can support a specialized application function.

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Technology / TensorFlow
Building ML models

First, the project's goal.
Then the right tool.

From Opportunities to Practice

Where can TensorFlow help?

The module analyses the materials sent by the user and suggests a category that a person can improve.

This is an example of the application scenario. The scope of the project and the choice of technology are determined on the basis of the needs of the company.

A Conscious Choice

What should be taken into account before implementation?

The result of the model is part of a process, not an infallible decision.

Content, technology and recipient

Integration of AI and visibility in AI

The wizard on the website performs a function for the user. Visibility in the responses generated by the search engine is a separate task: it concerns available, useful and reliable content. Google does not require a special AI tag; SEO bases still apply. Neither model nor library guarantee the citation of your company.

SEO, AEO and GEO — what they mean for the company

Documentation and further reading

The description of the possibilities is based on project documentation. Before implementation we check the requirements of the selected version and compliance with other elements of the service.

From idea to plan

Technology is meant to serve
Your company.

Let's talk about a website, app or integration.

Tell me about the project