A Croatian AI-driven bioinformatics startup is seeking partners for a Eurostars collaboration to advance the automation of omics data analysis. Their mission is to bridge the gap between cutting-edge bioinformatics and user accessibility by leveraging AI to streamline complex workflows in genomics, transcriptomics, and other omics-related fields.

Founded by a multidisciplinary team with expertise in molecular genetics, bioinformatics, artificial intelligence (machine learning), and software engineering, the startup identified a significant challenge in bioinformatics: existing tools often require advanced technical knowledge, manual parameter adjustments, and extensive computing resources. This presents a barrier for many researchers and biotech companies lacking specialized data analysis teams.

To address this, the startup is developing an AI-powered bioinformatics platform that automates data processing, reducing the need for specialized programming and statistical expertise. The platform integrates large language models (LLMs) to provide an intuitive interface, enabling researchers to interact with the software in natural language and receive automated insights.

The company is seeking partners from Eurostars member countries, particularly R and D institutions, biotech companies, and universities working in genomics, precision medicine, drug discovery, or related fields. The goal is to collaborate on co-developing AI-driven bioinformatics tools through joint R and D projects, partner with biotech firms to integrate AI models into existing workflows, and work with research institutions to validate and refine algorithms using real-world datasets.

The startup aims to foster international cooperation, as their AI-driven approach addresses key limitations of existing bioinformatics software. By providing user-friendly, automated tools, they aim to meet the growing demand for enhanced data analysis capabilities, improve research efficiency, and open up new commercial opportunities for all partners involved.
Advantages and innovation
AI-powered bioinformatics platform is designed to ease omics data analysis by addressing key challenges faced by researchers and biotech companies. Unlike existing solutions that require extensive technical expertise, manual parameter tuning, and significant computational resources, our platform automates complex workflows and makes bioinformatics more accessible and efficient.

Key Innovations that our software offers:
• AI-Driven Automation – Our platform eliminates the need for manual data preprocessing, parameter selection, and result interpretation by leveraging machine learning and large language models (LLMs).
• Natural Language Interface – Researchers can interact with the software using intuitive prompts instead of complex scripts, making advanced bioinformatics tools available to a wider audience.
• Scalable SaaS Model – Users can access the platform on demand, reducing costs and infrastructure requirements compared to traditional bioinformatics solutions.
• Interdisciplinary Integration – Our system bridges the gap between AI, bioinformatics, and cloud computing, ensuring seamless workflow automation without compromising accuracy or flexibility, which is especially important in science and research
• Reduced Time-to-Insights – By automating data processing and analysis, our solution significantly shortens research timelines, enabling faster hypothesis testing and decision-making.

Framework program
Eureka
Call title and identifier
Eurostars call for projects SEP 2025
Submission and evaluation scheme
Anticipated project budget
Coordinator required
No
Deadline for EoI 13 Jun 2025
Deadline of the call 13 Sep 2025