The future of the enterprise database – comprehensive information in real time
Infinite use cases
The concept of webAI
This is how webAI can be used
The application purposes of webAI are unlimited. We give you some examples
Real-time market analysis
- Function: We permanently scan millions of company websites and use AI systems to analyze the activities of companies with regard to their skills, technologies used, as well as products and services offered. In this way we generate market information for our customers in real time.
- Benefit: Identification and filtering (shortlisting) as well as matching of relevant companies according to the individual criteria of our customers, trend and technology diffusion analyses.
Analysis of corporate networks
- Function: We permanently scan millions of company websites and record the names of other companies as well as hyperlinks to their websites. We evaluate these relationships automatically and thus map regional and international company networks.
- Benefit: Mapping of companies to company networks, identification of central players, internationalization analyses, investigation of partner, cooperation and competitor networks.
Evaluation of companies
- Function: With our intelligent analysis systems, we evaluate the content of company websites and their technical framework. Based on this information, we calculate scientifically proven (see publications) and easy-to-interpret indicators, for example on the innovativeness of a company or its degree of digitalization.
- Benefit: Identification of innovative companies and regional innovation systems.
Individual webAI analyses
- Function: We adapt our dynamic analysis models to the specific questions of our customers. This enables us to provide fast and reliable answers to urgent questions.
- Benefit: Comprehensive and timely processing of individual questions. For example, within a few days we have developed a reliable system for forecasting the impact of the coronavirus pandemic on 1.2 million German companies. (press)
Releases in 2021
Dr. Svenja Falk is Managing Director at Accenture, Fellow at the Hertie School Berlin and Honorary Professor at the University of Giessen. She is head of Accenture Research and is globally responsible for the Health & Public Service division as well as for the cross-sectional topic of future of work. She has spoken and published extensively on the topics of digitization and innovation. She is also head of the working group “Digital Business Models and Industry 4.0” of the Industry 4.0 platform of the German BMWi and BMBF.
Dr. Georg Licht is head of the ZEW research department “Innovation Economics and Business Dynamics” and has acted as an advisor to the OECD, the EU Commission and the German Federal Ministry of Education and Research on innovation and technology policy issues. In the past he was a member of various expert groups in the field of science and innovation policy and co-developer of the pan-European innovation survey Community Innovation Survey (CIS).
Dr. Irene Bertschek is head of the ZEW research area “Digital Economy” and Professor for “The Economics of Digitisation” at the University of Giessen. She is a member of the Federal Government’s Expert Commission on Research and Innovation (EFI) and is represented in numerous national and international committees and working groups dealing with the digitisation of the economy.
With the data from istari.ai we were able to work on questions concerning the diffusion of norms for which no data existed before. A real game-changer that will revolutionize future standardization research.
Istari.ai manages to generate real added value from current research. The intelligent solutions of istari.ai help us to jointly develop research results towards marketability.
Istari could deliver results within a few days. They responded extremely quickly to inquiries and were flexible with regard to short-term adjustments. Istari is a very reliable partner.
- June 2020
- November 2020
- November 2020
- March 2021