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Our approach to AI

AI helps us. People are responsible for Weldia.

We use AI during development and explore its practical use in welding documentation. Our team decides on the product, technical content and changes.

The founders of Weldia in a workshop
Welding expertise, product design and software engineering.

01 AI at work

How we use AI at work

AI helps with proposals and finding solutions. We assess the result in the context of the product, welding practice and customers' needs.

Working onAI helpsPeople decide
DevelopmentHelps explore solutions and prepare code proposals.We review changes and decide what goes into the product.
Interface designPrepares alternatives we can quickly compare.We choose solutions based on users' work and needs.
TestingHelps propose scenarios and find potential problems.We verify application behaviour and evaluate the results.
DocumentationHelps organise source material and draft text.We check the content, technical meaning and clarity.

02 People and responsibility

Who stands behind the result

We combine welding expertise, product design and software engineering. Together, we are responsible for the applications and their technical content.

Ing. Michal Michajlec

Ing. Michal Michajlec

Welding expertise and standards

Combines practical experience as a welding engineer with the requirements of standards and ensures the technical accuracy of the applications.

Ing. Pavel Fidrmuc

Ing. Pavel Fidrmuc

Product design and user experience

Designs how people work with Weldia. Turns complex requirements from welding practice into a clear interface, so creating documentation takes as few unnecessary steps as possible.

Bc. Tomáš Kubát

Bc. Tomáš Kubát

Software architecture and development

Designs and develops the technology behind Weldia applications. Connects weld joint drawing with documentation management and ensures the applications are fast, reliable and secure.

When you need advice, you speak directly with us, the founders and creators of the applications.

03 AI in the product

AI in the product

WPS import · Planned concept

We want to make it easier to transfer existing welding documentation into Weldia WPS. AI could extract data from a document and prepare it for review. A specialist would verify it before saving.

  1. Original document

  2. Proposed data

  3. Your review

Illustration of the proposed import workflow.

04 Documents and data

Documents, data and review

Before AI is used with documents, it must be clear what it processes and how you verify the result.

What is processed

Each feature should make clear which documents and data AI needs and what it uses them for.

Where and by whom

The description should identify the provider, processing location, and rules for retaining or reusing data.

How you verify the result

Proposed data must be possible to compare with the source, correct and confirm before further use.

We will publish the specific data processing conditions with the relevant AI feature. WPS import is described here as a planned concept.

Need to transfer existing WPS documents?

Talk to us about your documents and what you need from an import.

Discuss your documentation