Decision support systems
We turn fragmented information into connected knowledge for clearer, evidence-backed decisions.
Work areas
Dataverz is a science-based information technology and big-data analytics startup. Our objective is to transfer and scale up results originally developed as scientific research in fields such as network science and complex systems.
We design and develop information systems for decision support, deployed as software-as-a-service solutions. Our enabling technologies include big-data repositories, graph databases, open-source software and machine learning.
We develop the skills and capabilities required to adopt data-driven decision support systems, from diagnosing requirements and system-level design to training and sustained adoption.
System-oriented solutions
Our solutions integrate otherwise fragmented data sources, use knowledge graphs for analytics, and apply network models to organise information and increase its value.
Exploration
Analysis of current resources aimed at identifying the inherent abilities and potential of an organisation, industrial ecosystem or region.
Search
We allow anyone to search within graph databases in a transparent, intuitive and flexible manner.
Discovery
We use digital traces and other available data to identify potential collaborations and business opportunities, and to track emerging R&D trends.
Discover Pattrnz
Pattrnz turns fragmented supplier information into evidence-backed supplier discovery, assessment, and RFx workflows for procurement teams that need greater speed, breadth, and traceability.
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Dataverz ApS is a DTU spin-off built on top of 10 years of R&D work in industry, academia and the private sector.
Pedro Parraguez is Dataverz CEO and co-founder. Before founding Dataverz, he was a postdoctoral researcher at the Technical University of Denmark (DTU), Engineering Systems Division, where for seven years he performed research and development work on complex socio-technical systems and industrial ecosystems.
Nelson Guaman, Dataverz CTO and co-founder, is a well-rounded full-stack software developer who has worked in large companies such as McAfee (Intel Security), as well as start-ups, accumulating more than seven years of experience in complex IT systems.
Given our research roots, we keep collaborating with DTU, leveraging and promoting work developed at the Engineering Systems Group. Applied research projects include DTU's Knowledge Landscape, Net-Sights, AMICa Pathfinder, and EURITO.
We design and deploy data-driven IT solutions to support collaboration and innovation. We help our clients build and strengthen their information infrastructures using analytics and data visualisations to enable the exploration and analysis of knowledge architectures.
Our mission is to connect people and knowledge through the integration of data acquisition, data analysis and interactive dashboards. We use graph databases, network analysis, natural language processing and machine learning to take our clients from counting to connecting when it comes to data-driven insights.
Related research and publicationsFeatured clients
Contact
To schedule a demo, discuss a data challenge or learn more about Dataverz, contact us directly or use the classic booking page.