Einsteino is software developer’s darling.
Einsteino saves development time and costs enormously because it works with objects which are understood by machines exactly. Developers no longer must deal with language problems and can easily operate their interfaces.
Einsteino, patented in 2022, made in Berlin, already showed proof of concept as a telephone assistant, dental assistant and in chatbot development.
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Einsteino has the potential for the first platform worldwide that simulates the magic of the human brain. Einsteino records facts in natural language, not data. Einsteino understands, makes decisions based on natural consequence like humans and acts accordingly.
We see Einsteino as the first private secretary bot in history. A good, thoughtful, useful friend in the smartphone that makes life easier and actively organizes it.
What will set Einsteino miles apart from Alexa, Siri and ChatGPT is the magic of the human brain within him.
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Traditional chatbots or AI applications, even GPT-4, are Deep-Learning-Models

Einsteino is a pattern recognition engine

Based on mathematics, data and algorithms.
Text robots. Trained to predict next word.

Based on computer science and natural language programming. Creates its own algorithms.
Fed with facts. No bulk data.

Probabilities for the next word are calculated.

No probability. Decision based on natural consequence.

Remembers patterns and structures of human speech.

Every single word, every fact, has a meaning. Miniature programs are planted in and communicate with each other. This creates the Einsteino cloud, which stores, networks and combines impressions like neurons in the human brain. This is where Einsteino’s performance comes from.

Answers seem human and logical.

Einsteino, thus, is not only developer’s darling, but also has the potential to answer questions on GPT-4 level plus do tasks. This is what makes Einsteino special and unique.

Application example

Telephone Assistant

COGNIOLOGY understands 99% of the time.
Suggests an appointment or fulfills a desired appointment.
Enters in appointment book. Sends confirmation.
COGNIOLOGY acts. That’s what makes it special.
Without mathematics, data or algorithms.
Without question-and-answer training.
Telephone Assistant was developed in less than 3 working days.
Special is: Conversation PLUS Action.
COGNIOLOGY saves time and development costs.

Application example


In the future, Super-Bot EINSTEINO will “live” as a digital private secretary in every smartphone. Think of EINSTEINO as a digital baby. With a COGNIOLOGY brain. EINSTEINO is fed by facts in natural language, grows up, understands, answers, learns to act independently. That’s even more than ChatGPT 4:
EINSTEINO is superior knowledge PLUS take action.
This is EINSTEINO. This is the Super-Bot. Our vision.
COGNIOLOGY saves time and development costs.

Application example

Digital Dental Assistant

So far, the diagnosis has been dictated to the human assistant tooth by tooth. COGNIOLOGY relieves the human assistant from typing. COGNIOLOGY understands 99%. COGNIOLOGY only documents technical terms. The essentials. No small talk. Everything offline. Perfect for privacy. COGNIOLOGY fits into a smartphone. Portable. Without mathematics, data or algorithms.
COGNIOLOGY saves time and development costs.

Application example


Einsteino encapsulates language problems into objects, which can be understood by machines exactly. Based on impressions and event-oriented. Reads interface descriptions and creates objects that are automatically applied in conversations. Einsteino allows developers to focus on developing applications without worrying about the details of language processing. More development time can be spent servicing interfaces.
Einsteino saves time and development costs.


Jens Richter: Partner, Business Administration Graduate and publicist. He is an author and editor of books and writes regularly for various magazines and newspapers on the subjects of politics, culture and society. Some of his works deal with the history of the GDR and the time of reunification as well as with current political developments in Germany and Europe.

Masoud Amri: Partner, computer scientist, having studied in Berlin, Germany. He has over 25 years experience working as a software architect and project manager consultant with companies such as IBM, Mercedes, Volksbank, Siemens, Deutsche Telekom and Fraunhofer Institute. He has been researching Artificial Intelligence for the last ten years and filed several patents in this area. His theories and findings are published in recognized professional journals in Germany.

Masoud and Jens founded Einsteino in Berlin in 2022 and are working with a development team of 7 to bring the Cogniology AI platform into widespread use with development partners. Einsteino has enormous potential. We believe in that. Voice & Chat Bot further development. Automotive. Telecommunications. Bank. Insurance. Internet of Things. Limitless.


All computer programs in the world are programmed by humans, including artificial intelligence. The Google search engine, Microsoft Office, all apps for iPhone or Android devices, even machine learning are products of human intelligence. Imagine that a computer program, without the help of human programming, would create new computer programs from the knowledge contained in textbooks. By doing this, it would be possible to convert all human knowledge into programs that are just as intelligent as the people reading those books. We have called this type of artificial intelligence “Cogniology”, meaning the science of cognitive understanding, learning and thinking through computers. Cogniology is an abstract concept. Therefore, the patent application was limited to the essentials and filed under the title “Natural Language Programming” in the USA, Europe, China, Russia, South Korea, Canada, Australia and Japan. Patents have already been granted in the following countries:



First class international experts with different expertise, of artificial intelligence to public telephone networks.

  • Cogniology (third generationof artificial intelligence)
  • Machine learning
  • Speech recognition (Voice to text)
  • Voice output (Text toVoice)
  • App development (iOS, Android & web)
  • Back End & Databases
  • Public telephone network (Voip)