Our services


The Challenge

Data-driven operations and decision making are consistently increasing their presence in a broad spectrum of sectors and are high on the strategic agenda of organizations and institutions.

Transforming data into assets that can produce actionable information and ultimately increased or new value, several technological and operational challenges must be efficiently met. A major one is the challenge of managing and processing the vast amounts of data that are required for complex analytical processes. Such data include not only those available in legacy persistence solutions, but also data that are dynamically generated or streamed from IoT devices, relevant third-party collections, simulated data, etc.

Problems of scale and heterogeneity are intensifying and overwhelm data analysts and decision makers, hindering the process of adapting to the new reality.

Our Approach

The Data Fabric approach, i.e., the notion that discrepant, remote and heterogeneous resources can be federated and integrated in such a way to provide a single entry point to access multiple endpoints, is in our view integral for achieving economy of scale and high quality of analytics.

At the same time, Data Fabric simplifies data management by homogenizing cloud and on-premises storage, as well as distinct repositories with their own management and access mechanisms (remote databases, API-exposing repositories and data portals, graph databases, etc.). Such architectures are fundamental in the effort to build connected data ecosystems, where cloud-based, in-premise and hybrid solutions can co-exist and cooperate, under a simple management paradigm that promotes privacy, provenance and intellectual property.

Our Approach

To leverage the analytical capacity and efficiency of your organization, we promote holism and elasticity as the means for establishing and optimized work environment for your data scientists. We treat the analytical process end-to-end, by providing access to prepared, high-value data with global coverage, access to analytical models and services, and the mechanisms for securely exchanging data, and sharing and managing code. Furthermore, we integrate multiple options for deploying and executing your code on elastic, on-demand computational resources to alleviate administrative burdens and optimize costs and energy usage.

The Challenge

Data Scientists face numerous challenges throughout the data science workflow hindering productivity. Exploring data and models is difficult and costly, while disproportionate time and effort is spent on managing infrastructure and DevOps processes. Furthermore, synchronization and asset exchange are cumbersome and similarly time-consuming. As organizations continue to become more data-driven, a collaborative environment for easier access and visibility into the data, models trained against the data, reproducibility, and insights uncovered within the data is critical.
The Challenge
Population growth and economic expansion lead to exponentially increasing demands for food, energy and fiber. The situation is exacerbated by climate change, as it leads to modifications on temperature, precipitation and the frequency of extreme weather events at a global scale.

Decision makers in the sectors need tools that help predict the timing, intensity and coverage of such occurrences. The tools must provide concrete, actionable information towards increasing production, alleviating risks and mitigating the impact of destructive events and abrupt changes, for timespans reaching multiple years or even decades in the future.

Our Approach
The sheer volume and complexity of scientific data that must be communicated to different types of stakeholders and decision makers calls for a user- and problem- centric approach to avoid producing cluttered, overly detailed data. Thus, our approach focuses on the thorough analysis of the targeted audiences and the design of comprehensive user journeys for each of them.

Our dashboard design aims to opaque the underlying intricacies of the data and provide to the decision makers just the information and the configuration options they need to gain insights and back them with the right amount of data.

Our Approach
When building the web presence for a research project or organization, we prioritise usability and navigation clarity via an extensive website design process involving iterative communication cycles with our clients, to ensure that the end result will conform to their needs and expectations.

Furthermore, we mobilise a wide range of web technologies to ensure that the websites are performant, responsive and Search Engine optimised, applying caching and conditional loading techniques to improve user experience. Additionally, we establish continuous feedback collection mechanisms for monitoring visibility and visit patterns and accordingly identify needed adaptations and updates on the site.

The Challenge

Researchers in general and those active in the broader agri-food sector in particular aspire to making a contribution to the world, by enriching core actors’ and people’s knowledge with strongly backed evidence and meaningful insights. But maximizing the awareness for your research, reaching a broad audience with different competences, expectations, and understanding can be hard.

Not only it is important to build the proper message and content for outlining your findings, but it is imperative to expose it in a usable, intuitive manner and effectively use different online tools to ensure that this message reaches out as far as possible.

Need a tailor-made solution?

Contact us


Technology Park “LEFKIPPOS”
P. Grigoriou & Neapoleos Str.
Athens, Greece, 15341