Our team began to form in early 2001. At that time, Egger Mielberg,  Ralf Rielmann, and Michael Tarkov were involved in some kind of neuronet-based scientific project. The task of the project was to design a predictive mathematical system for spaceship cargo loading. 

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In 2012, after one-and-half-year-brainstorm Mielberg presented a new AI-driven multilingual search engine. The search engine is capable of searching for topic- and sense-focused information worldwide. It also guarantees a non-repeatability and uniqueness of a search result.

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In 2014, working as an external chief solution architect for one of the most prominent logistic US companies, Mielberg invented "Neuro-Amorphic Function" for his mathematical price-per-mile model.  

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In early 2016, inspired by Blockchain technology, Dan Gerasi, Hanna Feiffer, Michael Tarkov, Helen Crouzer, and Egger Milberg decided to go deep into the creation of the new concept of bank service. After that, two innovative technologies were created, "Proof of Participation (PoP): Asynchronous Byzantine Activity-Oriented Protocol" and "Decentralized Chain of Transactions. Neurochain".   

 

In 2018, Milberg's focus fell on creating a new generation of artificial intelligence that would work on the sense-to-sense paradigm. This is how "Sense Theory" and "ArLLecta: A Decentralized Sense-To-Sense Network" were created. 

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In 2019, a large European telecommunications holding drew on the practical significance of the implementation of Arllecta technology.   

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In 2020, after the completion of the Proof of Concept events, the holding became the first large customer at a time when Arllecta services were still at the alpha testing stage.

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In 2021, сompany showed practical viability and great promise in implementing algorithms of a new mathematical theory for AI, Sense Theory. This is how a large business order appeared from a large European holding company for the development of an AI platform.

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In parallel, Milberg and his team begin research in the field of early diagnosis of cardiovascular diseases using theory algorithms. After obtaining promising results in the field of early diagnosis of myocardial infarction and some other diseases, the team decides to begin in-depth research in the field of longevity.

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In 2023, after two years of painstaking research, the team comes to the conclusion that the key to creating a cure for youth lies in understanding the true causes of tumor cells. After this, the team decides to launch a software product for the early diagnosis of tumor diseases to confirm the performance of the Sense Theory algorithms. At the same time, the accuracy of early diagnosis is at least 98%. It is this percentage that will allow us to definitively and without additional evidence demonstrate the performance of the algorithms.