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Research instead of bureaucracy.
We bring you back from bureaucracy to research – with biomedAntrag as an AI-powered expert system for biomedical applications. biomedAntrag significantly reduces your workload, supports you with high professional quality, and enables you to focus more on research.
How biomedAntrag Works
Software as a Service for biomedical applications
Machine-Generated Draft Texts
Our web application accepts user specifications and links them with matching entries in our database. With this information, AIs in different roles mutually correct text drafts.
Significant Time Savings
Weeks of tedious writing work become just a few days of interaction. When legal or regulatory changes occur, data and instructions for application drafts are promptly updated.
High Quality
Synergy between user and system knowledge emerges in the Human-In-The-Loop model. The writing process is iterative. As a user, you are also involved in the ethical reflection of an application. This increases the probability of success.
Frequently Asked Questions
Answers about our SaaS platform
Which applications does biomedAntrag support?
biomedAntrag supports the creation of biomedical applications such as ethics, animal model, genetic engineering, and funding applications.
How does the software work?
The database automatically clusters data according to semantic similarity. User specifications are linked with semantically similar entries in the biomedical database. Changes to legal conditions are automatically retrieved online. With this content, chained calls to multiple Large Language Models take place. At each iteration, the system presents an intermediate result to the user.
Why shouldn't a user simply use conventional AI programs?
Conventional AI programs often provide only individual building blocks of what is required for a convincing application. Our system combines domain-specific databases with specially developed prompts and a clear process tailored to application preparation. This enables applications to be created faster and with consistent quality. User feedback shows that conversations with general AI tools easily drift off topic and require additional correction loops. Our system, in contrast, focuses on the relevant content and supports users in progressing efficiently toward the finished application.