The future of the enterprise database – comprehensive information in real time

Making hidden company data visible automatically, without rigid sources and in real time: Our webAI provides you with exactly the information you need.

To get to this valuable information, our webAI searches millions of websites at high frequency to analyze them with artificial intelligence.

“Gone are the times when a lot of time and money had to be invested to manually search for information on websites.”

– ISTARI.AI | DEEP MARKET INTELLIGENCE

Infinite use cases

From market analysis and lead generation to investment opportunities, webAI offers the necessary data for all use cases.

The advantages

The concept of webAI

The web is full of useful information about companies, but only a fraction of this information can be found in traditional company databases. The webAI scans company websites, analyzes and recognizes relevant information and provides the data in real time.

Web indicators

Extensive and constantly updated web data provide the basis for a range of webAI web indicators that make information easily accessible.

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)

The new webAI platform

Releases in 2021

The istari.ai platform, planned for 2021, provides access to a wide range of real-time corporate information. Analyze and monitor the international technology and market environment and search specifically for companies based on individual criteria or documents (e.g. patents or technology documents).

Our team

Istari.ai was founded in 2019 and specializes in AI-based analysis of company websites and other company-related web data. The founders David Lenz and Jan Kinne worked together in a research project on web-based innovation indicators during their time as PhD students. We at istari.ai will continue to be closely connected to the scientific community and have the vision to offer scientifically based web analytics with state-of-the-art methods.

David Lenz

Founder

Dr. Jan Kinne

Founder

Miriam Krüger

Partner

Robert Dehghan

Public Relations

Our advisors

Dr. Svenja Falk

Advisor

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

Advisor

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

Advisor

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.

Testimonials