Trans-Uni Kft.
Enterprise AI/ML development

Enterprise AI and automation that work with your existing systems.

Trans-Uni starts AI/ML development with a concrete business task. We build AI-supported workflows and automation around existing data, permissions and quality controls.

Document processing

Extract, organize and check information from recurring documents, with human review for uncertain cases.

Enterprise knowledge search

Make internal documents and knowledge sources searchable while respecting existing access rules and keeping answers traceable.

Workflow automation

Accelerate repeatable preparation, decision-support and reporting tasks through connections to existing systems and measurable outcomes.

Key areas

  • AI/ML development
  • Generative AI
  • Automation
  • Data-driven workflows

Breeze: AI/ML in practice

Breeze is a scalable SaaS questionnaire platform built with AI, GPT, NLP and machine learning technologies.

View the Breeze reference

AI adoption with business controls

We define the use case, data sources and success measures before implementation. The solution is aligned with existing permissions and processes, including a plan for uncertain outputs.

Common questions

When is AI worth introducing?

When there is a concrete repeatable task, accessible quality data and a measurable expected outcome.

Will AI be a standalone system?

In enterprise settings, it is usually more useful when connected to existing systems, data flows and controls.

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