CIC CONSULTING INFORMÁTICO

Dashboards for data-driven decision-making

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2

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Comprehensive alarm and event management

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Pic legend 1: Dashboards for data-driven decision-making

Pic legend 2: Complex data visualization

Pic legend 3: Real-time monitoring

Pic legend 4: Comprehensive alarm and event management

General information

Company name

CIC CONSULTING INFORMÁTICO
Adress

C/ISABEL TORRES 3, 39011 SANTANDER (SPAIN)
Web

https://www.cic.es/
Turnover

18.00 million EUR in year 2023

Employees

327 in year 2023
SME

NO
Contact Info:

Phone

942269017
Email

idi@cic.es

Activity and Skills

CIC Consulting Informático (CIC) is a global IT services and software development firm specializing in digital transformation solutions. With a presence in over 40 countries, CIC offers tailored services to various industries, including energy, utilities, telecommunications, and enterprise.

CIC is at the forefront of advanced digital technologies, data analytics, communication networks, artificial intelligence and cybersecurity, providing a comprehensive set of heterogeneous services and a portfolio of proprietary solutions.

Their R&D activities are focused on delivering tangible outcomes that enhance our products and create novel solutions to meet market needs. CIC participates in public-funded projects and collaborates with public entities, research centers, and industry leaders to drive innovation and shape the future of technology

ICT expert specializing in advanced data analytics and machine learning solutions for Big Science facilities:
• Real-time Big Data monitoring and analysis of diverse data sources: Leveraging AI and machine learning, we provide actionable insights from heterogenous data streams, including energy usage, production data, spatial information, network performance, and sensor readings.
• Advanced data analytics for proactive risk management: early detection of anomalies, vulnerabilities, and security threats, ensuring the integrity and resilience of critical infrastructure.
• Customized dashboards for data-driven decision-making: design and implementation of intuitive dashboards that visualize complex data, facilitating informed decision-making and rapid response to critical events.
• Comprehensive alarm and event management: Our robust event management systems identify, categorize, and prioritize threats, ensuring timely alerts and effective escalation procedures.
• Tailored IT services for Big Science facilities: Our experienced team provides comprehensive IT services, including planning, implementation, systems integration, and pilot deployments.

Contracts for Big Science facilities

No registered contracts

Relevant R&D projects

[Transmisiones 2023 - CDTI INNOVACIÓN ] -Integrated Management System for the Prevention and Extinction of Forest Fires and the Subsequent Reforestation (GAIA ) (2024)

- Massive data integration and processing: Advanced data-fusion techniques to collect and integrate diverse data sources, including LiDAR, forest inventory data, fuel models, digital terrain models, meteorological data, satellite imagery, field sensor readings, and aerial system data. - Enhanced Data Visualization: Employ geographic information systems to represent collected data, facilitating in-depth spatial analysis, providing a user-friendly and visual reference for all relevant information. - Advanced Data Analytics Models: Employ geographic information systems to effectively represent and map collected data, facilitating in-depth spatial analysis of factors like land use, climatic conditions, and topography.

[Cybersecurity pre-commercial procurement - Energy sector SOC - CPP002/2022 - INCIBE ( Spanish national cybersecurity competence center) ] -Global solution for assets management, vulnerability management and threat detection to work in a cybersecurity operations center for the electrical distribution sector (VULCANO ) (2023)

Research topics (particularly relevant to Big Science Critical Infrastructures due to their complex interconnectedness of IT and OT systems, the need for robust security measures, and the importance of understanding the geographical distribution of assets and potential threats): • Real time assets modelling and IT/OT convergence. Passive self-discovery processes of new assets, active self-discovery procedures and vulnerability management. • Cyber assets risk assessment: Employing deep learning techniques to assess cyber asset risk based on vulnerabilities, network position, health status, and related asset events. • Advanced network behavior analysis: Leveraging machine learning algorithms to manage and correlate events for anomaly detection in network traffic.

[Strategic Projects for Economic Recovery and Transformation (PERTE) in Renewable Energies -Institute for the Diversification and Saving of Energy (IDAE), attached to the Secretary of State for Energy ] -An innovative fuel generation system in the form of hydrogen and ammonia, using floating solar energy (BAHIA H2 OFFSHORE ) (2023)

CIC is responsible for developing an intelligent platform for automated, efficient, and safe management of the entire renewable energy-based production process. This platform will incorporate: • Comprehensive Data Integration: Integrate diverse data sources, including electrolyzer signals, water purification equipment signals, Haber-Bosch simulation data, and external heterogeneous data. • Advanced Data Analytics: Employ big data processing techniques and automated detection models to enable data-driven decision-making, model validation, testing, and experimentation.

[Cybersecurity pre-commercial procurement - Critical sector SOC - CPP001/2023 - INCIBE ( Spanish national cybersecurity competence center) ] -Integrated solution for cybersecurity anomalies management in a manufacturing industry sector (RABEL ) (2023)

Research topics (relevant to Big Science Critical Infrastructures due to their complex interconnectedness of IT and OT systems, the need for robust security measures, and the importance of understanding the behavior of assets and processes to prevent disruptions and ensure optimal performance): • Asset Modeling and Industrial process data Management. Comprehensive modeling of all assets in the production chain. Mechanisms to identify deviations from expected asset behavior, potentially indicating security threats or operational issues. • Anomaly detection. Monitoring and detection of anomalous behavior in industrial processes using machine learning techniques. • Advanced events and alarms management. Multivariable alarm management system to prioritize alarms based on their severity.

Big Science Areas

Fusion

Particle physics and accelerators

Markets

Technology Areas

Information and Communication Technologies

Certifications