Grounded in Truth, Driven by Science: The Future of Agentic AI in R&D
This invitation-only webinar was held on 3 April, 2025. Complete the form below to watch a recording.
AI is no longer a distant vision—it is transforming industries today. But in research and development, where accuracy, trust, and scientific rigour are paramount, not all AI is created equal. Unlike general-purpose AI, such as ChatGPT or Perplexity, Scientific AI must be grounded in evidence. It must enhance, not replace, the research process.
For AI to truly support R&D, it must be built on a structured foundation. Platforms like Alchemite™ already provide powerful suites of machine-learning-driven R&D tools, enabling scientists to extract data-driven insights with confidence. These tools form an essential backbone for Scientific AI, ensuring that AI-powered research remains precise, reliable, and aligned with scientific integrity.
This exclusive, interactive session for senior stakeholders explored:
- State of the Market – The current AI landscape and where it’s heading
- What Are AI Agents? – How autonomous, context-aware AI is redefining work across industries
- AI Adoption in R&D – The biggest challenges slowing AI integration in research
- How Structured ML and Analytical Tools Provide a Foundation for AI Agents – Ensuring AI reliability through data-driven insights
- The Future of AI Agents in Industry – How structured, intelligent AI will transform R&D while maintaining scientific integrity.
The invite-only discussion went beyond theory, focusing on practical adoption strategies, real-world applications, and the evolving role of AI in scientific discovery. With live polling, case discussions, and open dialogue, we shaped the roadmap for AI in R&D—built on truth, not speculation.
