Is a technology start-up that develops vertical search
systems to support deeper and more targeted access to
information in specific professional fields.
A team of creative minds and managers with consolidated
experience in data analysis, artificial intelligence
technologies and marketing strategies.
Values and Goals
Algorithms for semantic understanding, natural language
analysis, development and training of neural networks and
machine learning techniques for reinforcement.
Making access to information more fluid and complete,
especially that is unavailable online.
Optimise dialogue and human-machine interaction.
Create value for our investors, partners and customers.
The Scenery
The new technological frontiers linked to artificial intelligence,
which are increasingly causing a revolution in the world of
digital research, are creating innovative opportunities for
interaction between man and machine.
As a function of these evolutions, the vertical search for
information, documents and multimedia materials for
professional and sectoral purposes is becoming a highly
strategic field of application.
One of the main benefits of vertical research is the ability to
focus on specific fields, such as medicine, law, science,
technology or any other knowledge domain.
In this context, private databases and online resources play a
fundamental role.
However, the fragmentation of online data and the more
complex availability of private databases make it difficult
to have a complete and exhaustive view of the
information.
In this scenario, using different search models, thanks to
artificial intelligence algorithms, will offer diversified and
more fluid access to information in a more integrated,
qualified and efficient way.
Technological Approach
Development of Neural Networks, trained in specific
application contexts, oriented towards research models
as punctual as predictive and generative.
Machine Learning techniques aimed at simplifying,
organising and optimising information dataset analysis
processes.
Application of algorithmic methodologies for semantic
and natural language analysis which facilitates the
understanding and meaning of the information
processed for targeted access to the most pertinent
resources.
Functional Approach
Complementary and alternative solutions able to
respond to multiple needs in different contexts thanks
to AiBeex technologies.
Combining a consolidated experience in “big data”
analysis and modelling supported by innovative
technologies related to artificial intelligence creates
both technical and functional synergies capable of
offering a significant competitive advantage in
addressing operational challenges in the professional
field.
Therefore, The functional approach combines all
elements to optimise the quality of the questions’
answers and significantly improve the user’s overall
search experience.
Strategic Approach
Identify strategic sectors and study their
problems.
Find sources of information and potential
partnerships.
Definition of analysis models to process data
and apply them to AiBeex solutions.
Place innovative products and services on the
market with AiBeex technologies.
Operational Approach
Set up specific NewCos with identified partners
for each sector/project.
Support the governance of all established branches.
Definition and coordination of all communication and marketing plans and commercial development.
Actively contribute to managing the subsidiaries in all the main operational and development phases.
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AIBEEX S.R.L. – Via Roma, 366 – 10121 Torino (Italy) – VAT IT13008240015