Products

hAItta Akko

hAItta Akko is a Social Listening service which combines Natural Language Processing and Machine Learning techniques to analyze opinions that users write daily in social networks about your product or service, in a quickly and intelligent way.

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hAItta Prolena

hAItta Prolena is an AI platform with natural language processing, knowledge mapping, and machine learning abilities. Its main goal is to serve as an efficient and precise assistant upon taking decisions in several scopes...

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hAItta Yoken

hAItta Yoken is a machine learning-based platform the aim of which is to predict likely defaulting and fraudulent customers or companies in different industries.

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Who We Are

hAItta is an Artificial Intelligence firm based in Switzerland, the two founding members of which are Mariano Ferrero and Domingo Senise de Gracia. Its working and research scopes are mainly Machine Learning and Natural Language Processing. Its solutions are related to Machine Learning platforms to help decision making and default and fraud detection, and to NLP-empowered intelligent assistants.

The mission of hAItta is a complete declaration of intent: AI serving Human Development. Since, for its founders, AI will always be a help for human beings, and the idea that one day machines will rebel and rule humans has, for them, a light taste of science and a strong flavor of fiction.

“AI goes beyond technology. It’s a paradigm shift which is revolutionizing the way in which we relate to machines”

DOMINGO SENISE

Founder & CEO

DOMINGO SENISE DE GRACIA

Founder & CEO

His experience spreads for close to 20 years in fields such as business strategy, innovation, and artificial intelligence in several sectors – consulting, e-Business, finance, IT, and civil service. He began his career in Towers Perrin -currently Willis Towers Watson, to go on in the Spanish Ministry of Interior, later idealista.com, ST-Sociedad de Tasación, and eventually Taiger, holding different executive positions. Founding member and CEO of hAItta. Domingo holds a MSc in Artificial Intelligence by the Universidad Politécnica de Madrid, a MBA by the Universidad Pontificia Comillas ICADE-ICAI (Spain), a MA in English Linguistics by the University of Salamanca (Spain), and a BA in Conference Interpreting and Translation by the Universidad Pontificia Comillas ICADE-ICAI (Spain).

MARIANO FERRERO

Founder & CTO

Mariano has been working since 2011 in the development of corporate solutions, mainly web, of various levels of complexity and different domains -insurance,retail, marketing, etc. His profile has been featured mainly by a technical aspect, integrating skills in teamwork and management for carrying out challenging projects in an efficient manner. Since 2012 his interest in Artificial Intelligence has led him to specialize increasingly in the areas of Machine Learning and Natural Language Processing. Moreover, his passion -to use technological innovation to solve current problems and make the world a better place- has taken him to create the AI start-up hAItta.

Mariano has a degree in Software Engineering by the Universidad Católica de Santiago del Estero (DAR) in Argentina -majoring in Web Engineering by the same university, and a MSc in Artificial Intelligence by the Universidad Politécnica de Madrid.

Success Stories

Organization: IATA
Organization size: 1,600 employees
Country/region: Worldwide
Industry: Aviation
Business need: Fraud and default detection on the flight ticket sale activity

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Publications

Collective Decision-making through Multiple Criteria Determination and Preference Aggregation and Disaggregation Methods

Group Decision Support Systems (GDSS) can be essential in situations in which multiple persons are involved, each having their own private perceptions of the context and the decision problem to be tackled. Multiple criteria decision aid (MCDA) methods may be a useful tool in coping with such interpersonal conflicts, being required occasionally the preference aggregation and disaggregation methods to achieve consensus amongst the group members.

by Domingo Senise de Gracia

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Engineered Bacteria and Nanotechnology – Different Approaches for the Common Goal of Removing Tumor Cells

In this paper two different approaches regarding the removal of tumor cells are explained. The first one is taken from the scientific article Environmentally Controlled Invasion of Cancer Cells by Engineered Bacteria; and the second one stems from the article A Smart and Versatile Theranostic Nanomedicine Platform Based on Nanoporphyrin.

by Domingo Senise de Gracia

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Fuzzy Logic and Neurofuzzy System Technology for Stock Exchange Trading Strategy

This paper aims to present two distinct approaches to stock exchange trading based on fuzzy logic and neurofuzzy system technologies. The first approach introduces an intelligent decision-making model, based on the application of Fuzzy Logic and Neurofuzzy System (NFs) technology. And the second approach employs pattern classification methods using Artificial Neural Networks (ANNs), Fuzzy Inference Systems as well as Adaptive Neurofuzzy Inference Systems.

by Domingo Senise de Gracia

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Nanorobots Destroying Tumors – New Perspectives on Cancer Treatment

In this article a simulation is exposed and explained in which a group of multi-agent nanorobots, after having been injected into a human body, search for a tumor in it and, as soon as they discover it, they gather and destroy it.

by Domingo Senise de Gracia

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Ontology Information Retrieval through Natural Language Interfaces

In this article it is discussed the need to have a more user-centric attitude regarding the ontology retrieval information if our aim is to universalize this kind of knowledge representation, and to this end two approaches are introduced which follow this line of research: FREyA, an English natural language interface developed in the Department of Computer Science of the University of Sheffield; and a German natural language interface developed in the University of Applied Sciences RheinMain in Germany.

by Domingo Senise de Gracia

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The Winograd Schema Challenge – A Step beyond the Turing Test

In this paper the Winograd Schema (WS) Challenge is explained: an alternative to the Turing test -the Imitation Game.The Winograd Schema Challenge is a test of machine intelligence proposed by Hector Levesque, a computer scientist at the University of Toronto, in 2011. It is a multiple-choice test that involves responding to typed English sentences of a very specific structure: they are instances of what are called Winograd Schemas.

by Domingo Senise de Gracia

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Natural Language Processing for Human-Robot Interaction

It would simply reinforce what is evident, if it were stated: "Robots are becoming an essential part in our daily lives". Currently the use of robots in several and different industries is widespread. Nonetheless, how do we communicate and interact with robots? If robots are playing gradually a more important role in our day-to-day routines, we will have to develop humanlike dialogue-processing mechanisms to ease that interaction.

by Domingo Senise de Gracia

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Classifiers ensemble selection

When a ensemble of classifiers is generated it has been shown that pruning it into a small number has better results. This article presents a review of some of the existing classifiers selection methods, both static and dynamic.

by Mariano Ferrero

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Métodos y algoritmos determinísticos de inferencia aproximada en Redes Bayesianas

Existen dos grandes formas de tratar con inferencia en una Red Bayesiana: exacta o aproximada. En este artículo se pretende realizar una revisión de técnicas y algoritmos de este último tipo propuestas hasta la actualidad, particularmente aquellas consideradas determinísticas, las cuáles buscan reducir de alguna forma los cálculos requeridos para llevar a cabo esa tarea introduciendo simplificaciones en el modelo original.

by Mariano Ferrero

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