IDEASCANNER at the University of Regensburg: AI Analysis for EXIST Women Founders | IDEASCANNER

IDEASCANNER supports EXIST-Women at the University of Regensburg with AI-driven analysis for successful idea validation and founding.

작성자: IDEASCANNER · 2026-07-10 · 카테고리: Education

IDEASCANNER provides the EXIST Women program at the University of Regensburg with data-driven analyses for idea validation and business model development. The AI-supported tool gives practical support to women founders.

The University of Regensburg uses IDEASCANNER® in the EXIST Women program to evaluate and further develop business ideas from academia and research based on data.

IDEASCANNER is Europe’s largest privately funded research project on company success factors and is built on a proprietary dataset of over 150 key factors for entrepreneurial success. With the AI agent Idy, you get a solid analysis of your idea in just 30 seconds – simply enter a website or upload a pitch deck.

The result: you immediately see the current status of your business idea, its market potential, the competitive environment, and concrete levers for improvement – including clear guidance on positioning and possible unique selling points.

As part of the EXIST Women program – funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK) and the EU – participants benefit specifically from: - Structured market and competitor analyses - Assessments of market readiness - Directly actionable recommendations for development

The combination of funding and AI analysis makes start-up support scalable and efficient: coaches work data-driven, workshops become more practice-oriented, and founders receive immediately usable insights to measurably improve their ideas.

IDEASCANNER stands for data protection and transparency. All analyses are based on publicly available, permissible data sources – sensitive information remains protected.

By deploying IDEASCANNER, the University of Regensburg sends a clear signal for modern start-up support: AI complements traditional advisory work and enables more actionable, scalable innovations from the university.

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