Client Story

Nationwide innovation mapping: Predicting the innovation potential of companies across Austria

ISTARI supported the Österreichische Forschungsförderungsgesellschaft mbH (FFG) using its webAI technology to analyze all Austrian company websites and generate innovation scores (InnoProb), enabling predictive insights by company size, industry, and location.

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The challenge

Limited visibility into Austria’s innovation landscape

The Österreichische Forschungsförderungsgesellschaft mbH (FFG), national funding institution for industry-related research and development in Austria required a robust and scalable solution to assess and forecast the product innovation potential of companies across the country. The organization aimed to develop a predictive model capable of profiling the innovativeness of all Austrian businesses. Specifically, they wanted to uncover insights into how innovation trends correlate with company size, industry sector, and geographic region - all while ensuring timeliness and cost-efficiency at scale.

Our solution

AI-powered innovation profiling with ISTARI webAI

Using our webAI technology, ISTARI systematically analyzed the websites of all Austrian companies to generate innovation scores through the proprietary webAI InnoProb indicator. InnoProb applies a scientifically grounded AI model to estimate the likelihood of product innovation at the individual company level based entirely on publicly available web data. Learn more about how we measure the innovativeness of individual companies here.

Following the InnoProb prediction phase, an extensive exploratory data analysis was conducted. This analysis evaluated how innovation potential variances aligned with organizational attributes such as company size, industry classification, and regional distribution.

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The impact

Data-driven insights for smarter innovation funding

By leveraging ISTARI’s advanced AI capabilities, the FFG was equipped with a powerful innovation benchmarking tool covering the entire landscape of Austrian enterprises. The output included detailed rankings, statistical overviews, and dynamic visualizations such as maps and charts, enabling fast, data-driven decision-making. This approach not only enhanced the client’s ability to strategically target innovation funding but also delivered a scalable, repeatable method for nationwide innovation forecasting.

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