Firms in the financial sector must comply with a series of regulations for the prevention of money laundering and terrorist financing (AML/FT). To do this, they have had to design and implement complex processes to comply with the specific regulations of each jurisdiction in which they operate. Today, the popularity of new financial technologies, such as remote banking, the use of cryptocurrencies, e-commerce platforms, etc., make regulatory compliance even more complex. Although there are software tools to detect suspicious transactions, these are usually based on the knowledge of subject matter experts, but as new criminal tactics emerge, software detection mechanisms become outdated and need to be updated. The use of new technologies based on Machine Learning come to alleviate this problem, since this type of algorithms are capable of learning from the data, without the need for the programmer to re-code expert knowledge. They also provide anomaly detection capabilities that vastly exceed those of humans.

Grupo AIA is the creator of the AML SIOPEIA GEB platform, which uses Artificial Intelligence techniques to analyze a large volume of data and offers a solution to the AML/FT problem to important financial entities in Spain and Portugal. This proposal to RED.ES is aimed at applying state-of-the-art Machine Learning techniques to improve the quality of the suspicions generated by the analysis processes, both to reduce false positives and to increase the types of risk cases detected (that is, reduce also false negatives). Along the same lines, it proposes applying network/graph analysis to establish new detection criteria based on characteristics of the customer relationship graph and their operations. In addition, in the field of robotics, it is proposed to automate the manual processes of the supervision team, by applying face recognition. And finally, to also reduce the workload of analysts, it proposes applying machine learning to triage suspicions, so that their review reduces the risks of the entity.

The public entity RED.ES, attached to Spain’s Ministry of Economic Affairs and Digital Transformation, through the Secretary of State for Digitization and Artificial Intelligence, through the 2021 Call for aid for R&D projects in artificial intelligence and other digital technologies and their integration into value chains, has granted financial support to the company APLICACIONES EN INFORMÁTICA AVANZADA, S.L. as a beneficiary of the grant for the development of the project “ADVANCED DETECTION OF MONEY LAUNDERING WITH MACHINE LEARNING”.

RAIN: Risk Analysis of Infrastructure Networks in Response to Extreme Weather

RAIN proyecto

RAIN project ´s objective is to provide operational analysis to identify the impact of extreme weather conditions on the components of critical infrastructure and minimize their effects on the E. U´s infrastructure networks.

RAIN has focused on ground infrastructure, particularly on ancillary infrastructure networks to identify cascading events and associated infrastructure problems. A key aspect of the analysis is the impact of climate change on vulnerable and old infrastructure.

The robustness of existing transport and energy networks to face changing weather conditions has been carefully analyzed. The capacity of this plan to respond beyond the borders has been guaranteed by the multidisciplinary consortium. The Project group has experience in climatology, operational analysis, transport economy, analysis and mitigation, as well as design and evaluation.

The RAIN consortium partners are:

  • GAVIN AND DOHERTY GEOSOLUTIONS LTD (Gavin and Doherty, Ge Ireland).
  • Istituto di Sociologia Internazionale di Gorizia I.S.I.G ISIG (Italy).
  • European Severe Storms Laboratory e.V. ESSL (Germany).
  • PRAK PETER LEONARD PSJ (Netherlands).
  • COMYOURIS (Belgium).
  • DRAGADOS SA (Spain).


GRUPO AIA provided expert knowledge in electrical grids network and telecommunications infrastructure. It designed and developed an extreme weather risk assessment tool with an incident forecasting module of infrastructure network and elements.

The project was developed between 2014 and 2017.

Further information of the project: (in English) (in English)


RAIN proyecto

This Project has been funded by the Seventh Program of the European Union for research, technological development and demonstration under grant agreement No. 608166

Further information of the Project click

TDM: Temporal Dynamic Model.

The Temporal Dynamic Model project TDM is aimed at developing a lifecycle-based predictive model for the analysis of great volume of data through Big Data methodologies for decision-making.

The project scope is the design and development of a technological environment for defining and calculating a lifecycle-based predictive model for chronic patients´ management.

  • Phase 1: The design and development of the technology of lifecycle – based predictive model.
  • Phase 2: Implementation of the technology developed. In a vertical and concrete environment.

The result of the project is a technological environment for the development of predictive models based on lifecycle and a product ready for commercialization, validated by a pilot Project and associated to chronic patients´ management.

The participants of the projects are:

  • PULSO Ediciones S.L.: a company expert in contents editing and management.
  • Grupo AIA: a company with extensive experience in advanced mathematics and artificial intelligence – based solutions.

Co-funded project by the MINISTRY OF INDUSTRY, ENERGY AND TURISM within the call for funding grants for projects developed by the Strategic Action of Economics and Digital Society under the National Plan of Scientific Research and Technological Innovation 2013-2016. File: TSI-100600-2013-71

Talent Discovery

Smart and self-adaptive system for knowledge and opinions extraction from internet and social networks.

The objective of the Project is to develop a cloud computing based system for opinions extraction from the internet for brand or product positioning. The intelligent algorithms are based on social networks and sentiment analysis and a self-learning
approach requiring minimum human intervention.

The proposed solution is based on Big Data standards, Hadoop open source framework in this case, to provide data storing and treatment of high volume of data. (Bootstrapping) for applying the algorithms for knowledge extraction. Other algorithms regarding Keywords, key phrases and ontology extraction will be developed in the project, as well as bootstrapping for developing a more powerful module for Sentiment Analysis.

APLICACIONES EN INFORMÁTICA AVANZADA S.L., has participated in the project “Intelligent and Self-Adaptive system for knowledge and opinions extraction from the internet and social networks based on Cloud and Big Data, Ref. number:
TSI-100600-2013-163, co-funded by the Ministry of Industry, Energy and Tourism, within the Scientific Research, Development and Technological Innovation Plan2013-2016.

SNTALENT: development of a talent Discovery tool

Talent Discovery

SNTALENT  is a Talent Discovery tool created under the Strategic Action for the Economy and Digital Society Program, (AEESD for its acronyms in Spanish) of the Scientific and Technical Research and Innovation Plan.

Objective and purpose of the project.

The development of a SaaS Talent Discovery tool for talent search in social networks and database sources applying Artificial Intelligence technology to maximize quality and efficiency in sourcing and filtering phases of recruitment processes.

The Talent Discovery tool will offer the following features:

  • Jobs and profiles description drafting, prioritization and evaluation of required skills and experience to provide candidates scoring to ideal profile.
  • Search based on AI technology, internal database of previous candidates and external database sources in the network.
  • CVs and profiles´ automatic filtering in Natural Language Processing and scoring to ideal candidate.
  • Information capturing for:
    • CVs verification and contrasted in interviews.
    • Interest raised by candidates among recruiters.
    • Process management indicators, SaaS BI tools for recruitment process control.

Co-funded Project by the Strategic Action for the Economy and Digital Society Program, under the Scientific and Technical Research and Innovation Plan. 2013-2016 ref: TSI-100600-2013-219.

Talent Discovery


iTesla proyecto

iTesla (Innovative Tools for Electrical System Security Within Large Areas) is a collaborative I+D project of European scope funded by the European Commission within the Seventh Framework Programme (FP7).

iTesla Project’s purpose is to develop a set of tools that will help the future operation of pan-European electricity transmission. This toolkit will step forward in innovation: it will perform dynamic operational simulations following a probabilistic approach, going beyond the current focus on “N-1? and optimising the capabilities of network traffic at different scales, both spatial (national, regional, pan-European) and time (two days away, a day view, intraday real-time).

This toolkit will be available through a flexible IT platform allowing operators to perform simulations addressing both network, regional or pan-European in its own network, coordinated regional systems or completely pan-European system

The other project partners are:

  • RTE  (France) (Project leader)
  • Elia (Belgium)
  • NGC (UK)
  • REN (Portugal)
  • STATNETT (Norway)
  • IPTO (Greece)
  • CORESO (Belgium)
  • ARTELYS (France)
  • BULL (France)
  • PEPITE (Belgium)
  • QUINARY (Italy)
  • Imperial College London (United Kingdom)
  • INESC Porto (Portugal)
  • KTH (Sweden)
  • KU Leuven (Belgium)
  • RSE (Italy)
  • DTU (Denmark)
  • TRACTEBEL (Belgium)
  • TECHNOFI (France)


Grupo AIA‘s role in the project is twofold:

  • Building a common data model for the dynamic exchange of information between TSOs (Transmission System Operator).
  • Evaluate defence plans and develop methods for grid restoration at Pan-European level.

The project is being carried out between 2012 and 2015.

KROMS: Interoperable, intelligent and integrated energy management system

Ministerio de economía y competitividad

KROMS Project ´s objective is to develop an interoperable, open, end-to-end, multiprotocol and user focused system for the integration of telemetry equipment, sensors and actuators to create intelligent environments either domestic or industrial for energy saving.

Its main goal is to do research, development, integration and implementation of a complete end-to-end solution enabling Wi-Fi infrastructures service (M2M + WSN last mile) for the generation of intelligent domestic or industrial environments based on an interoperable, Intelligent and distributed energy management system and user focused.

The partners of the project are:

Grupo AIA´s role in the project is to lead the communication and virtual interface protocols and its main contribution will be to develop an intelligent control software model based on distributed AI, a field in which AIA has a long and proven expertise. Finally, it will also participate actively in the results dissemination.

The project is developed from 2012 to 2014.

Co-funded project by the European Regional Development Fund (FEDER) and the Ministry of Economy and Competitiveness within the call for proposals 2012, and funds grants corresponding to The Public-Private Cooperation National Program – INNPACTO subprogram, under the instrumental line of Articulation and Internationalization of the System and Scientific research, development and Technological Innovation National Plan 2008-2011. Ref: IPT-2012-1028-120000

Ministerio de economía y competitividad

iHolter: Cloud computing based Holter System

iHolter project is focused on developing a cloud computing based solution for cardiac arrhythmias detection and diagnosis by continuous monitoring of heart electric signals (Holter) for the purpose of providing patients diagnostic services through mobile tools and encouraging information ubiquity and people´s mobility. It´s a cost-effective solution for sanitary institutions and content generation in the network.

The other participating companies in the project along with Grupo AIA are:


Call for proposals AETySI-Competitividad I+D

File Nº Ref: TSI-020605-2012-50

Ministerio Turismo Industria y Comercio




Parkinetics is the first living laboratory of electric mobility in Spain. Electric vehicles and charging stations will be tested and this will help users to define new profitable and sustainable mobility. The project is developed in a perimeter of 30km in the Vallès region (Barcelona), an area that encompasses technology parks, science and business with intensive R & D and more than 50 000 potential users.

  • R & D in new technologies for electric vehicles (EV)
  • Telemetry mass processing of certain physical variables for EV components (battery, ease of use of the electric motor), and the environment.
  • New generation of EV charging points either by mains and by better place system (battery replacement).

The other project partners are:


GRUPO AIA ´s role in the project is to analyse the data collected from the paths of vehicles in order to improve monitoring of battery models and optimise the charging process.


HEMOLIA Proyecto


The aim of HEMOLIA is to develop a new generation of tools for government intelligence in the fight against Organized Crime, Money Laundering and the Financing of Terrorism, integrating large volumes of information from the financial world and the world of telecommunications.

HEMOLIA is a research and development project funded by the European Commission FP7 family STREP category in the SAFETY section and with COLLABORATION between countries and institutions in Europe. The project code is 261710, its duration is 3 years and the formal starting meeting was the 31st May 2011 in Barcelona.

The other project partners are:

  • Verint (Israel) (Project leader)
  • Ernst & Young (Israel)
  • Cap Gemini (Netherlands)
  • SwitchLegal (Netherlands)
  • VU University (Netherlands)
  • Industrial Research Institute for Automation and Measurements – PIAP (Poland)
  • Polish Telecom (Poland)
  • ZBP – Polish self-government organization of banks (Poland)
  • Financial Investigation Unit Romania (Romania)
  • FIU.NET (Netherlands)
  • Amsterdam University (Netherlands)
  • University of Wroclaw (Poland)


Grupo AIA’s role in the project is the development of a system of interpretation of financial alerts at FIUs, and the development of a financial analysis Link to help expose the financial networks of money laundering.

The project will run from 2011 to 2013.