Welcome to the Intellegens newsletter, where we share the latest news, developments, and achievements from the team at Intellegens.
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Generative AI adds insight to machine learning
Alchemite™ Suite now integrates advanced multimodal large language models (LLMs) to provide transformative interactive guidance in the search for optimal formulations, chemicals, and materials. The new Alchemite™ Insight feature unlocks deeper insights from experimental data.
The enhancement is phase one in a roadmap that will combine generative and agentic AI with advanced machine learning (ML) to help R&D teams achieve their critical goals, all within a secure ISO 27001-compliant framework. The initial focus is on maximizing value from the ability of ML to find and exploit complex relationships in research data. Such insights are often presented in plots that can be challenging to interpret. With Alchemite™ Insight, users simply click an ‘Explain’ button for:
- Recommendations for next steps in analysis or experimentation.
- Natural language descriptions of what any plot is showing
- Interpretation of both the image and underlying quantitative data
How ML fits with conventional DOE tools
“I’m a JMP user – why should I consider machine learning software for DOE?” It’s question we hear a lot at Intellegens. In this white paper, we explore how machine learning adds value to Design of Experiments and why conventional DOE and machine learning should not be seen as competing methods, but as complementary tools.
Optimizing oligonucleotide manufacturing
A new software solution streamlines process development for oligonucleotide therapies through advanced data integration and machine learning. Alchemite™ for Oligonucleotide Manufacturing is the outcome of a two-year collaborative project led by Intellegens and CPI to develop and validate digital tools that apply ML to the manufacturing of this important class of molecules. The project was supported by the Innovate UK ‘Transforming Medicine Manufacturing’ programme and had direct input from six leading research partners, including top ten pharma companies such as Novartis and specialist biotech companies such as Silence Therapeutics. The solution was recently demonstrated in an Intellegens webinar – check out the recording.
Moving even faster for consumer goods
Last week, we enjoyed participating in the Food-Tech event in London and in a few weeks we’ll be joining SCS Formulate, hosted by the Society of Cosmetics Scientists. R&D for fast-moving consumer goods, including foods and personal care products, is a key focus for machine learning, with its ability to accelerate the optimization of formulations and inform sustainable developments in areas such as packaging. Find out more in our website feature and blog article.
New paper shares concrete progress
A new paper in Data-Centric Engineering shares work from from researchers at the University of Cambridge and Intellegens that demonstrates the effectiveness of machine learning in predicting properties of potential lower-carbon concrete products. Such prediction could help to speed the development of new concrete formulations that lower the environmental impact of concrete – a major contributor to greenhouse gas emissions.
