Project Type: Research & Innovation


CHARISMA, aims to devise next-generation Maritime Surveillance technology leveraging on heterogeneous autonomous robotic architectures, including unmanned aerial, sea surface and underwater vehicles. Key to this innovation is devising both hardware and software that can be attached as an add-on to existing fleets of Unmanned Vehicles (UVs). The addon will enable UVs to collectively form a mesh network for communication at the lower-level, on top of which a Distributed Shared Memory (DSM) service will be deployed. The DSM will act as the connective tissue for decentralised data exchange that will be critical for devising advanced swarming algorithms to conduct Maritime Surveillance. These swarming behaviours will be largely based on data fusion Machine Learning models. To monitor and control these capability-augmented UV swarms, a Maritime Surveillance Digital Twin will also be implemented.
By combining the expertise, intellectual property and Proof of Concepts in distributed applications (Algolysis Ltd), maritime research and robotics (CMMI), and digital twins and machine learning (CYENS), we will develop a next generation framework for Maritime Surveillance, that will ensure reliable, robust and dependable data collection, provide a comprehensive digital representation of critical situations for better assessment, and will support decision making and high-level control of UV Swarms by competent operators. The entire framework will be validated and demonstrated in a relevant environment (TRL6). Specifically, the addon device will be deployed over a set of heterogeneous UVs with advanced swarming behaviours capable of specifically monitoring maritime infrastructure (e.g. aquaculture facilities).


Storage devices, such as hard disk and solid state drives, are getting smaller and faster, but are still prone to faults, often resulting in data loss and costly downtime of important technical infrastructure. Despite recent technological advances in hardware design and manufacturing, it is still unclear what the exact causes of those failures are and how to detect an imminent failure; enabling proactive mitigation, such as data replication and backup. Moreover, the storage retail market is flooded with devices of dubious quality, and often times performance and robustness specifications are exaggerated by their manufacturers, hindering the ability of the end-users to make an informed choice of storage devices.
DriveNest ( is a crowd-monitoring platform of storage devices which are distributed anywhere around the globe. The objective is to collect reliability indicators from devices deployed ‘in-the-wild’ (not in controlled data center environments), and provide users with statistics and failure forecasting based on predictive analytics. Statistics across a global population of storage devices will enable end-users to purchase storage devices based on hard data, while failure prediction will assist end-users, system administrators, and backup software designers to proactively act upon imminent hardware failures.

The project is under constant development and thus constructive feedback is important to us

Smart Poultry

The poultry industry is one of the largest agricultural industries worldwide. Due to urbanisation, higher incomes, and a shift to a healthier dietary rich in proteins, demand for poultry meat has been rapidly rising according to the OECD. While the poultry industry provides food and a livelihood for billions of people, it also has significant environmental and health consequences. It is therefore imperative that the quantity and quality of poultry food products (i.e. meat and eggs) increase, while animal welfare and environmental protection are promoted and improved.
Algolysis is developing a low-cost, integrated software and hardware ecosystem to monitor and analyze the operational conditions of poultry farms. Through a highly synergistic system, composed of sensors, monitoring devices, data acquisition, and data analytics backoffice, we aim to offer invaluable tools and intelligence to farmers and authorities. In turn, they will be able to implement ideal conditions for the animals and optimize their production.

The Smart Poultry project includes the development of a remotely accessible internet platform and custom-built sensing hardware, designed to be easily deployable in poultry farms.