Ensures the best management of energy and water networks, municipal services (lighting, watering, waste ...) and urban spaces.

The intelligent management of mobility through adaptive transport services, an agile coordination of all stakeholders and the responsible use of resources.

Real-time information for decision-making in local entities and concession companies.

• A Big Data approach for real-time massive information analytics and open data services to publish accessible and reusable data.
• Visual approach: Holistic 3D visualization.
• End-to-end approach: Integrated and centralized platform and security.
• Multidevice and multiprotocol approach.
• On cloud and on premises modes.
• Flexible approach: Open and interoperable platforms at the service of local agents.

Dynamic and intelligent resource management control, providing recommendations to enhance energy efficiency.

The ability to program temperature and lighting modes, and the smart management of household appliances and connected devices.

Monitoring, diagnosis, remote assistance and fall alarm system.

Implementation of advanced burglar and fire alarm systems, parental control, video surveillance and monitoring.

• Platform ecosystem approach, enabling integration of multiple third-party services.
• Open approach, facilitating integration with devices from different manufacturers.
• Cloud approach offering the product as a subscription service.

Enables economic savings through reduced consumption, with improvements of up to 40% depending on the initial conditions of the client's facilities or local regulations.

Energy storage has become a reality and costs are becoming increasingly competitive, all of which represents a paradigm shift in the grid management model and supply/demand balance.

Coordination and control mechanisms for managing distributed generation, some of which are intermittent and increasingly connected to medium and low voltage.

Capabilities for active demand management, connecting the grid with smart homes, allowing customers to make decisions, and enabling interaction with grid operators (Demand Response).

Regulatory and budgetary pressure for more efficient asset management will continue to grow, particularly in terms of reducing the costs associated with maintenance and the possibility of operating with tighter margins.

• End-to-end approach: Organized in 5 sequential phases:
  Energy efficiency> self-consumption> local optimization> network integration and distributed markets> integration of prosumers in the market
• Big Data approach for mass information analytics.
• Cloud approach offering the product as a subscription service.

Tool that automatically detects products on shelves, obtaining the number of elements as well as their prices.

Definition of the indoor location system for the customer in the store. This will tell us where store hot spots are, the points visited by the most customers (flow manager).

Product that predicts future demand and assigns tasks to employees to cover the estimated demand and thus optimize resources in store.

• On cloud and on premises modes.
• Flexible approach with online and offline functionality. Web, mobile web and native solutions.
• OpenData approach.

Thousands of users interaction understanding (massive polls, social media, web analytics) and its integration with different data sources (forums, open data, census data, `CIS´,etc. ).

Massive polls technology and crowdsourcing dynamics to involve different interest groups aiming to complement some topics or understand the reason of data analysis conclusion.

Gathered data analysis and definition of specific actions according to obtained insights (communication plan, government budget strategies, gamifications actions to increase citizen involvement, etc.).

• Focus on massive real time Big Data analytics and Open Data services to allow publication of accesible and reusable data.
• Visual.
• Flexible approach: Open and interoperable platforms available for local agents.
• Cloud approach.

• Definition of the optimum policy based on seasonality and the elasticity of demand with regard to price.
• Study of the impact of different promotional policies, providing tools to select the best plan to achieve the targets.
• Simulate promotional policy scenarios and predict the results to be obtained under the different combinations.

• Creation of a single Data Lake containing all the interrelated market information.
• Big Data approach to the analysis of massive data streams.
• Machine learning using R as the analytical engine, obtaining demand forecast models for every SKU/channel and brand the manufacturer works with.
• Qlikview as a visualization engine.
• Integrated and centralized platform and security.
• Configurable and scalable. Horizontal scalability. Operable in cloud and on-premises modes.
• Multidevice and multiprotocol.

• Increase of 20% in customer acquisition rate.
• Average margin increase of 4%.

Enables the streamlining of decision making and area management by visualizing operations in both real and historical time thanks to an advanced solution orchestrating the key information of operations and business in a safe, agile and ergonomic way, integrating the information (KPIs) most relevant for the executive management of each of the areas of one or more plants.

Diagnosis of I4.0 improvement opportunities along the value chain of a production facility. Allows companies to discover their I4.0 potential very quickly and develop the basis for tackling an industrial transformation plan, identifying: Areas of potential, prioritized high-level initiatives, gross estimate of economic potential.

Quality control through artificial vision and monitoring of the industrial process and business intelligence through workflows and generation of reports according to parameters evaluated by the artificial vision system.

Integrated solution to control and optimize energy consumption in industrial plants acting on production programming parameters. It results in quantifiable short-term savings in energy use and improved environmental ratios.

• Big Data approach for mass information analytics.
• Visual approach.
• Overall ecosystem approach.

Complete integration in company systems.

Complete traceability of end-to-end information through constant, real-time-accessible online monitoring.

Personalization of the services available on the platform, adapting them to the business processes and corporate systems of each client and with sector specialisation and business knowledge.

Reliability and security of information exchange processes.

Offers the planning and management of all business activities involved in the provision of a product or service to a final customer (order, delivery note, dispatching, delivery, invoice). We offer sectoral solutions adapted to each business: automotive, distribution, etc.

• Modular approach.
• Overall ecosystem approach to platform, managing company community to enable integration of multiple third-party services.
• Non-intrusive and transparent approach to the ERP.
• Cloud approach.
• Flexible approach: multi-protocol, multi-format, multi-sector.
• Approach accepted as meeting government requirements.

• Savings of more than 90% in the costs of optimizing logistics.

We centralize all payment operations from all channels, exempting the client from regulatory compliance (with PCI DSS service).

We incorporate different payment methods (Paypal, Sofort, Apple Pay, contactless, payment links, etc.)

More-advantageous bank commissions, One-click, Current Account, Voice Pay, anti-fraud systems, powerful administration console, etc.

Incorporates fraud prevention processes adapted to the sales channel.

• Cloud approach.
• Flexible: Multi-channel product: In person (TPV, PINPad) or remote (mobile, web, call center, IVR, etc,...)
• Global: International coverage with information integrated and real-time.
• Platform ecosystem approach, enabling integration of multiple third-party services.
• Modular approach.

• Reduction of 30-40% in operating costs and 80% in communications.
• Increase of approx. 20-30% in the probability of buyers and suppliers.

• Intensive and continuous training at an individual or group level in IT forensic techniques and tactics, cyberdefense and cyberattacks.
• Cooperative and competitive cyberdefense exercises (CDX).
• Simulation and secure experimentation of new technologies, malware and cyberweapons.
• Cybersecurity testing in a controlled environment.

• Can be used in service mode (SaaS).
• In deployment mode, we install and refine the solution.

• Blacklist: simultaneous analysis of multiple antivirus engines (4, 8 and 16).
• BadUSB: protection from BadUSB vulnerabilities: USB device control with signed firmware, USB control and inventory, kiosk hardening and endpointcomputer system control.
• Multiple devices: content analysis on pen drives and USB drives, flashcards, CD/DVDs, portable devices, etc.
• Certificates: analysis of the certificates from signed files.
• Secure erasure: capacity to permanently remove data from a USB device without any possibility of retrieval.
• Operation ticket: prints authorization tickets for analyzed devices.

• Physical kiosk hardware with 19” touchscreen.
• The most powerful multiscanning tool, OPSWAT (chosen by 85% of the nuclear power plants in the USA), with subscription options for four antiviruses, extendable to 8 AVs, 12 AVs, 16 AVs and/or additional AVs from an extensive list of compatible AVs (Symantec, Mcafee, Shopos, Trendmicro, Kaspersky, etc.).
• Device and port control software.
• Software sandboxing.
• Image management and freeze software.
• Secure erasure software.

• Automatic travel document reader.
• Validation of passenger eligibility criteria (minimum age, electronic documents, etc.).
• Identity verification based on biometric face recognition algorithms and compared with the data stored on the chip inside the document, or fingerprint scanning and verification.
• Searches of law enforcement databases to check whether the passenger is in an exceptional situation that requires police intervention.
• Process monitoring and control: a border control agent supervises the entire process from the control and monitoring module, guaranteeing security throughout the entire process.
• Record of all border crossing data at the local level (border checkpoint) or centralized data.

• Kiosk: an interface that efficiently and intuitively connects citizens with the automated border control system.
• Gate: with single gate installations (segregated two steps) or integrated, whether in a single step or two (integrated one step, integrated two steps).
• Verifier incorporating the most advanced capabilities in travel document validation and biometric identification. Available in two versions: automated checkpoint for document verification and fingerprint identification after individuals have crossed the automated border, and the traditional checkpoint (manual booth) for document verification and fingerprint identification (including visa) in a traditional context outside the EU/EEA area.

• It can operate as a security integration layer for any business application requiring device risk and contextual scoring, and make decisions accordingly without affecting user experience. Necessary for compliance with fraud-related legislation such SecurePay, SepBlack and data protection.
• Companies need to have in-depth information about the security of their mobile devices, not simply their MDM functionality, in order to assess and ensure compliance with security policies.
• The use of the service by the different user groups generates highly valuable intelligence information in terms of early alert and fraud prevention.
• Knowledge and intelligence base in real time: Goodware (whitelist), Malware (blacklist), fake apps, dubious authors and early alerts of new detections.

• Versions for iOS and Android.
• Detection of device-related characteristics: root, execution in emulated environment, NFC, SO, kernel, ROM, bluetooth, camera, etc.
• Robust device fingerprint.
• Checking for user-configurable settings: USB debugging, trusted credentials, encryption, app installation sources, automatic updates, etc.
• Checking installed applications against a blacklist, detection of running applications/services, detection of dubious and/or insecure connections.
• Determination of the physical location of the device. Definition of secure work areas.
• Device tracing properties associated with the device fingerprint while preserving the anonymity of the user's identity.

• Accelerates the capture of new customers by removing one of the major points of friction in the current digital customer experience with organizations.
• Contributes to the conversion ratio thanks to a simple and efficient user experience.
• Contributes to the conversion ratio by reducing the risk of identity fraud and offering a secure user experience.

• iOS/Android operating systems. Operable in cloudand on-premise modes.
• Face biometrics.
• Automated data capture.
• Advanced digital document signature.
• Document fraud, certificate and PKI analysis.

• Automation of the capture of data from formal identity documents (third-generation and traditional ID cards, electronic travel documents).
• Document verification and authentication: Analyzing trustworthiness in visible light or in a combination of plain light and either infrared or ultraviolet light, incorporating an extensive range of measures and controls per document type, and incorporating their electronic verification to guarantee their authenticity and integrity.
• Authentication of identity via biometric comparison of the photograph taken in real time with the document (or printed) image, or an electronic certificate.
• Incorporation of device and source application security information in the verification process.
• Increased reliability of authentication with contextualized verification of multiple factors (multiple biometrics, geolocation, device identifier, etc.).
• Particularization of business logic and exploitation of identity verification based on the risk appetite, regulatory framework and business objectives.
• Dynamic monitoring of the identification of document and identity fraud patterns, and increased fraud intelligence through the analysis of the data generated.

• Deployable in cell phones or devices ad hoc for verifying highly complex documentation, incorporating document fraud information.
• Extensive range of biometric credentials based on performance, adapting to the operating environment, business objectives and performance in target population samples.
• Permits attended environments (“desktops”) or unattended environments (self-service).
• Flexible and scalable central services that can be adapted to business models on-premise or in-cloud (private).
• Pattern characterization services, intelligently modeling the business rules that govern the authorization of transactions under given conditions.
• Security scoring of individual devices and of the stages of the identity authentication process from a security point of view during each identification.

• Risk calculation: Credit risk (loans and mortgages), market risk (securities market: shares, bonds, portfolio management, etc.), liquidity risk, loss risk (life/non-life, asset, harvest, automobile insurance, etc.), recovery and portfolio management.
• Fraud detection: Fraud identification (insurance policies, consumer warranties, fraudulent use of services), fraud mitigation (models for detecting users prone to perpetrate fraud, categorizing actions/products with a high likelihood of fraud).
• Regulatory compliance: In accordance with Basel provisions for financial services, calculation processes, estimates and audits of defaultprediction and loss estimation models.

• Classification models: Generalized Linear Models, Decision/Boosted trees, Machine learning (ANNs, Naïve Bayes).
• Distribution fit analysis: MLE, extreme PDF analysis, copula theory.
• Regression models: Multiple Linear Regression w/wo effects, Regression trees, Machine learning (ANNs, Kernel Machines).
• Time series forecasting: ARIMA, ARIMAX, Arch/Garch, MLR, Machine learning (ANNs, Kernel Machines).

Acquires information in real time through sensing (sensors, machines, systems) of virtually any nature thanks to the interoperability and multi-device approach

Decision making in real time based on the information received and prior knowledge thanks to the 3 platform engines (the scripting engine, the CEP engine and the Node-RED, a visual tool for creating and editing IoT flows)

Stores all the information in real-time databases, historical database or configuration databases.

The entire configuration, operation and management of the platform is performed through a single web control panel that centralizes the management of the platform in its entirety

Incorporates tools and visualization applications that make it possible to exploit simply and graphically the information stored within the platform

• Business focus. Multi-sector: Verticalization by area.
• Big Data approach for mass information analytics.
• Modular approach: Modular, extensible platform with horizontal scalability and integrated security.
• Flexible approach: Interoperable and multi-device platform
• Open and collaborative platform based on the main standards and open source technologies
• Cloud and on Premises options

Manages the information sent and received between multiple devices, including among others intruder sensors, IP cameras with day/night vision for recording and triggering alerts in the event of movements or sound, and flood alarm systems. Capacity to generate statistical calculations, flows and rules coordinated with IoT services in the cloud.

Node1 has the ability to execute rules and actions in machines in complex situations, monitor and control the temperature and power consumption, as well as controlling consumption peaks and automatic shutdown of loads. It can also perform detection of anomalous patterns and failure in predictive maintenance.

Nodes with the ability to dynamically deploy applications, increasing real-time processing capacity and maximum response flexibility.

Deployment and execution of Artificial Intelligence models in Nodes for the prognosis of machine operation parameters, the detection of anomalous patterns and failure in predictive maintenance and the execution of rules and actions in machines in complex situations

• Open and interoperable approach, facilitating integration with devices from different manufacturers
• Flexible approach
• Big Data approach

Integrates heterogeneous environments, facilitates multiple exchanges with several remote centers and different network protocols, simultaneously. Allows transmissions to be joined in chains with application processes and unattended or manual operation.

It incorporates mechanisms for detecting and recovering incidents, as well as allowing on-line control of the alterations of the data transmitted through CRC and the use of hash algorithms.

Incorporates compression algorithms that improve transmission and solve space problems and transmission parameters adaptable to each remote that improve transmission performance.

Authentication of ends using EDItran code and other parameters of the transmission, using symmetric DES-TDES or asymmetric RSA algorithms, with or without PKI. Use of normalized encryption techniques. Confidentiality of data with DESTDES encryption. No repudiation by signing and verification with RSA keys or digital certificates (PKI).

Integrated with the SWIFT network for international banking communications.

• Security approach: Authentication of each end as well as the confidentiality and integrity of the data transmitted. Non-repudiation of information.
• Multi protocol and multi operating system approach
• Cloud and On-Premises mode

• De facto inter-banking communications standard (all financial institutions use EDITRAN) and with strong implementation across multiple sectors (more than 2,000 customers in all sectors).
• Reduces communication time by more than 80%