Simulating 600 parameters of a Jet Engine in real time – the Virtual Jet Engine (VJE) exposes an intuitive-to-use frontend to a wide and heterogeneous range of stakeholders. This enables knowledge provision through the research and development process across several departments at Rolls-Royce. In an eight months process of analysis, prototyping and testing it is now being rolled-out and in production.

A powerful und smart Middleware is orchestrating requests for calculations bringing organizational workflows down from days to milliseconds. role based accessibility of analysis while maintaining a very high levels of security is in the needs of a very sensitive industry. In tight collaboration with Rolls-Royce the features of VJE are continuously growing, embracing Data Science investigations and forecasting.

The VJE User Experience makes complex aviation simulation data understandable to a broad range of stakeholders around the globe. Fostering communication between experts and stakeholders is key for efficient innovation, driven by data. CAVORITs co-created VJE with Rolls-Royce Jet Engines to fasten iteration cycles, boosting ROI.

Footbonaut, run by Bundesliga’s TSG 1899 Hoffenheim, is a robot driven engine that fires balls to players from eight different machines. It is a training tool for talents in professional soccer. The machine was invented and developed by Berlin-based CGoal Gmbh and is part of the SAP SportsLab at Hoffenheim. For TSG 1899 and SAP we improved Footbonaut to a semi-automated assessment center for talent diagnostics in football by developing new algorithms and methods of evidence-based talent diagnostics, using insights from sports sciences and statistics in psychology.

Our AI records players behavior, computes skills profiles in real time and adapts the next balls angle, speed, effect and target on an individual criteria. Players performance is computed and merged with data of all teams and candidates into one graphic visualization, known as ‚Seashell‘. Within minutes, a players profile is benchmarked against a data base of 200.000+ players at worlds most precise and elaborated motortesting diagnostics.

CAVORIT conceived, prototyped and developed the AI which drives Footbonaut, co-created the engines control system and the data collection for the machine learning algorithms and prototyped the visual analytics module for giving feedback to both players and trainers.

Business around wind turbines is multifaceted. Whether it be the investor seeking to minimize portfolio risk by choosing a new location for a windmill, or the assignment of maintenance teams according to low and high wind forecasts - data visualization for experts has to meet a wide range of requirements.

CAVORIT’s web-technology allows you to visualize circular statistics as probabilistic avatars. Sampling methodologies such as Gibbs-Sampling and Metropolis-Hastings can, at their best, deal with a wide range of problems and concerns, ranging from forecasting models up to small sample statistics.

The benefit is that you as a user do not even need to be familiar with advanced probabilistic statistics and related concepts - the software allows you to harness the power of AI technologies to focus on visual insights to empower great decisions.

Transkooption is a web-based analysis and coaching suite. Based on research by business psychologist Adam Grant we developed Transkooption to provide both individual and aggregated feedback on the balance of cooperation of roles within an organization. With a proven track record in the HR industry, Transkooption has become an essential tool for HR consulting and coaching.

Transkooption facilitates both the need for precise analysis and an empathic and emotional perspective. By using animated semantic graphics, the visualization conveys both a scientific and an emotional message.

Adapting the ‚Quantified Self‘ concept to business psychology, Transkooption combines the efficiency of an assisted self-coaching process with the power of a full management dashboard.

‚Kinetic Change‘ is dedicated to research the effects of innovative means of communication within organizational change processes. Based on the Competing Value Framework by management research pioneer Robert E. Quinn, an aestetic data visualization sculpture combining both digital and physical aspects has been developed to support the communication of goals, planned actions and progress to engage and inspire all stakeholders during the change process.

The goal was to establish a model of the change process providing a tangible experience for both management and employers, driving Cooperate Culture by a digital conversation piece.

Aquaculture farming plays a central role in humanity’s challenge to feed the world population given its increasing importance in the seafood sector. Aquaculture farms face risks from a multitude of physical and biological factors including long-term stressors, like climate change or eutrophication. But Aquaculture farms also pose negative impact to local marine ecosystems e.g. by rising the nutrient levels.

Regulations and incentives on the aquaculture sector practices like farm locations for high productivity by minimized environmental impact, seasonal timing of operations and the overall size of the industry are difficult decisions problems for policy makers.

To this extent there is need to assist policymakers and farmers by scientific expertise in a coherent, intuitive and accessible way. But knowledge in modern societies is T-shaped: Expert knowledge is deeply hidden within vertical silos of scientific communities, while on a horizontal layer, public debate and insights are often remarkably self-refferential. The effort of connecting sciences under a paradigm of multidisciplinarity and big data might increase this gap. This proof of concept shows how to keep science and public connected by a smart data management frontend for stakeholders.