ALISYS DIGITAL SLU
Logotipo Alisys
Imagen
End to end field robotics solutions
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Custom robotic system for the characterization of radiological surface contamination
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Specialized software platform for the control and operation of complex cyber-physical systems, including sensors, IoT, robots, and other unmanned vehicles
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Specialized software platform for the control and operation of complex cyber-physical systems, including sensors, IoT, robots, and other unmanned vehicles
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Pic legend 1: End to end field robotics solutions
Pic legend 2: Custom robotic system for the characterization of radiological surface contamination
Pic legend 3: Specialized software platform for the control and operation of complex cyber-physical systems, including sensors, IoT, robots, and other unmanned vehicles
Pic legend 4: Specialized software platform for the control and operation of complex cyber-physical systems, including sensors, IoT, robots, and other unmanned vehicles

General information

  • Company name
    ALISYS DIGITAL SLU
  • Address
    C/ Cronos 63, 2ª planta, local 4, 28037 Madrid
  • Turnover
    12.00 million EUR in year 2025
  • Employees
    90 in year 2025
  • SME
    YES
  • Contact Info:
    • Phone
      +34910200000
    • Email
      info@alisys.net

Activity and Skills

Alisys is a technology company with more than two decades of experience dedicated to the development of advanced solutions in communications, artificial intelligence, robotics, and cloud services. With an international presence in over 10 countries, Alisys serves more than 300 clients across sectors such as industry, energy, healthcare, Public Administration, security, and defense.

The company is a European benchmark in teleoperation solutions, advanced control, and robotic device fleet management. Its platform consolidates into a single tool the supervision, command, and real-time coordination of robotic solutions across any robot or device—whether ground-based, aerial, or aquatic—regardless of manufacturer or underlying technology. It also enables the creation of fully customized workspaces tailored to each specific use case.

In the cloud domain, Alisys designs and deploys fully customized sovereign cloud solutions, ensuring complete physical, logical, and administrative control over strategic data and applications without foregoing the advantages of the public cloud.

Alisys works with sovereign LLM models designed to understand and generate content from large volumes of data, enabling a wide range of use cases applied to customer relationship solutions, particularly in environments involving critical data or requiring highly specialized responses. These models provide the capabilities of public models while delivering significant advantages in terms of data sovereignty, security, and technological independence.

Contracts for Big Science facilities

[Spanish National Company for Radioactive Waste Management (ENRESA) ] Autonomous Robotic System for Radiological Characterization of Surfaces in Nuclear Facilities ()
This project focuses on the development of an integrated autonomous robotic system for the radiological characterization of soils and surfaces in nuclear facilities undergoing decommissioning. By combining a quadruped robotic platform, a high-precision manipulator, advanced sensing instrumentation, and spectrometric data analysis software, the system enables safe, reliable, and automated inspections in hazardous environments. The solution supports the identification, mapping, and quantification of radioactive contamination without direct human intervention, enhancing operational safety while optimizing data-driven decision-making through a cloud-based remote supervision and control platform. The technologies developed within the project are also be valuable for a broader range of radioactive or radiation-sensitive environments, including nuclear research infrastructures, radioactive waste management facilities, fusion-related installations, and other critical environments where remote operation, radiological monitoring, and reduced human exposure are essential.

Relevant R&D projects

[HORIZON EUROPE] roboTics and Artificial intelligence Living labs improving Operations in PV Scenarios (TALOS )
As the demand for renewable energy escalates, the photovoltaic (PV) sector faces critical challenges. Labour-intensive and hazardous tasks, along with rising operational costs and resource wastage, slow the industry’s growth. Additionally, human workforce limitations impact the efficiency and the monitoring capabilities of PV plants, necessitating a transformative solution. In this context, the EU-funded TALOS project will develop state-of-the-art robotics solutions for various PV energy scenarios, including land-based, floating and agriPV. Its outcomes can support complex facilities through autonomous robotic technologies for the inspection and maintenance of large-scale infrastructures, reducing human intervention in hazardous tasks and improving operational sustainability.
[Science & Innovation Missions (CDTI)] Autonomous Emergency Response and Tactical Control for Robotic Operations (REACTOR )
This project aims to develop an advanced autonomous response system for protection and response scenarios in critical infrastructures. It combines robotics, artificial intelligence, secure communications, and cybersecurity to enable tactically controlled robotic units to operate in hazardous scenarios, improving resilience, safety, and rapid response capabilities. Its outcomes can strengthen resilience and rapid incident response capabilities in critical scientific facilities, enabling autonomous intervention in hazardous scenarios without exposing personnel.
[AI Enabling technologies (Red.es)] Research on Digital Technologies for Robotic Inspection and Surveillance in Dynamic Environments (INSPECT4.0 )
This project investigates artificial intelligence, robotics, and IoT technologies to enable intelligent robotic systems for inspection and surveillance tasks in dynamic environments. The goal is to improve robot autonomy, perception, and adaptability so that complex robotic platforms can operate effectively in unpredictable real-world conditions.
AI-Enhanced Precision System for the Safe and Efficient Teleoperation of Heavy Unmanned Vehicles (PRIME-HUGV )
This project researches advanced technologies for the safe and efficient teleoperation of heavy unmanned ground vehicles over long distances. It focuses on AI-based perception, predictive assistance, low-latency communications, robust sensing, and enhanced operator interfaces to improve situational awareness, reduce risk, and ensure reliable remote operation in demanding environments.