On November 1, 2024, Negentropics Software Plc. merged with T-Projekt Menedzsment Ltd., which is the legal successor of the software developer company. T-Projekt Menedzsment Ltd. continues to work in NLP research and application development.
Our latest product is the Public Procurement Analysis and Fraud Detection Software.
Negentropics Software Plc. was founded in 2015 by three enthusiastic entrepreneurs with linguistic, medical, and legal backgrounds.
Our team carries out both basic and applied research in NLP. We also develop our own cloud-based search engine and related applications based on the latest technologies.
The core of our technology is our linguistic-mathematical model of the semantics and grammar of natural languages created by our researchers.
T-Projekt Menedzsment Ltd.has an affiliate owned by 100%.
We first focused on the interpretation and semantic search of medical texts and then on the machine interpretation of English and Hungarian texts found on the Internet.
Our unique semantic search engine technology – with machine learning-supported search – results in highly accurate and relevant hit lists.
Our latest product, based on our technological innovation, is the Public Procurement Analysis and Fraud Detection Software. Using text-interpretation artificial intelligence, we simplified the examination of minimum conditions, contractual terms, numbers, etc., of public procurement documents published since 2018.
Former products
Intelligent Knowledge Base
We created an intelligent knowledge base based on semantic search technology, complemented by a new, teachable AI tool, Avatar. Avatars can learn complex topics like humans. Avatar collects the latest, relevant articles on a given topic based on the information it learns. It organizes them into a news feed, so the user doesn't have to waste time searching. Within a few moments, you can be up to date on more than 100 fintech topics or follow up with 700 fintech companies in one place.
Medical educational software
Pseudopatient: We developed educational software for the University of Debrecen using an unstructured medical text database and Hungarian-language text-interpreting artificial intelligence