Alchemite™ Suite now integrates advanced multimodal large language models (LLMs) to provide researchers with transformative interactive guidance in the search for optimal formulations, chemicals, and materials. The new Alchemite™ Insight capabilities unlock deeper insights from experimental data.
The enhancements are phase one in a roadmap that will combine generative and agentic AI with advanced machine learning to help R&D teams achieve their critical goals, all within an ISO 27001-compliant framework that ensures security for vital corporate IP. The initial focus is on extracting maximum value from the ability of machine learning to find and exploit complex relationships in research data. Such insights are often presented in plots that can be challenging to interpret without a data science background. Alchemite™ Insight delivers new AI-driven features so that Alchemite™ users simply click an ‘Explain’ button for:
- Natural language descriptions of what any plot is showing.
- Interpretation of both the image and underlying quantitative data.
- Recommendations for next steps in analysis or experimentation.
This storytelling approach lowers the barrier for scientists seeking to benefit from the full potential of machine learning models, accelerates onboarding, and enables sound data-driven decision-making.
The first implementation leverages the power of Google Gemini LLMs, but the platform enables easy integration for any generative AI method. So Alchemite™ Insight can exploit best-in-class generative AI technology alongside unique machine learning capabilities, targeted to key research challenges, in a robust, secure software environment. Future phases in the Intellegens AI roadmap will extend capabilities to support experiment design, formulation development, and materials discovery—eventually orchestrating tools and workflows directly from natural language input.
Alchemite™ Insight is demonstrated by Intellegens CEO, Ben Pellegrini, in the following video.
