According to OpenAI, accelerating scientific progress is among the most impactful benefits AI offers to society, with current models already assisting researchers in tackling complex scientific problems (source: OpenAI Twitter). However, for AI to deliver maximum value in scientific discovery, it must be tested through more rigorous evaluations and integrated directly into real-world scientific workflows grounded in experimental evidence. This approach opens new business opportunities for AI solution providers targeting the research and development sector, as well as for companies developing AI-powered platforms for scientific experimentation, data analysis, and hypothesis generation. The trend highlights a growing market demand for robust AI tools that can drive innovation and efficiency in scientific research.