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

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.
Extract, organize and check information from recurring documents, with human review for uncertain cases.
Make internal documents and knowledge sources searchable while respecting existing access rules and keeping answers traceable.
Accelerate repeatable preparation, decision-support and reporting tasks through connections to existing systems and measurable outcomes.
Breeze is a scalable SaaS questionnaire platform built with AI, GPT, NLP and machine learning technologies.
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.
When there is a concrete repeatable task, accessible quality data and a measurable expected outcome.
In enterprise settings, it is usually more useful when connected to existing systems, data flows and controls.