AI Specialized for Cosmetic & Beauty Formulation
Matilde accelerates the development of cosmetics, supporting product formulation through Explainable AI models.
Discover the right solution for your R&D
Competitive advantages
Faster Time to Market
The implementation of AI systems accelerates the product development cycle, reducing time to market.
Matilde allows you to virtually simulate thousands of combinations and scenarios, eliminating unnecessary physical iterations and focusing resources only on the most promising prototypes.
This approach enables faster, more informed decision-making, reducing the risk of costly delays.
The result is a significant competitive advantage, with the ability to respond more quickly to market trends and consumer demands.
Lower R&D Costs
- Fewer physical prototypes: instead of producing samples to test multiple variants, AI simulation identifies the most promising formulations to validate in the laboratory.
- Savings on costly raw materials: used only for final prototypes, not for all exploratory trials.
- Optimized staff time: formulators dedicate their expertise to validation and fine-tuning, rather than repetitive combination testing.
Know-How Enhancement
AI processes laboratory data, formulation history, test results and production feedback, creating an always up-to-date and contextualized cosmetic R&D knowledge base. Formulation consultation is immediate, with a significant reduction in technical information search time.
In companies, years of experimentation risk remaining in the memory of just a few specialists. Matilde transforms this experience into a searchable digital asset: every tested formulation and every correlation between ingredients and final properties is archived and made available for the future. Know-how becomes a permanent company asset, independent of individuals.
Case Studies
Materials Informatics: The Emerging Field Combining AI and Materials Science
A Market in Definition In recent months, the landscape of materials research and development has begun to take shape more precisely around a key concept: Materials Informatics (MI). It is no longer an abstract term or a long-term vision but a well-recognized market area with dedicated reports, specialized companies, and international players already in the […]
Explainability and Innovation: How XAI Is Transforming New Product Development
XAI and Industrial Innovation: A Strategic Combination for Industry 4.0 In the landscape of industrial innovation, Explainable Artificial Intelligence (XAI) is revolutionising the process of new product development. Its ability to make algorithmic decisions transparent and understandable positions it as an enabling technology to improve operational efficiency, reduce time-to-market, and strengthen trust in artificial intelligence […]
AI to Accelerate Product Development – A Case Study in the Rubber Compound Sector
After exploring the applications in the cosmetics and food industries, today we share a concrete use case in the formulation of rubber compounds — a sector where the R&D department plays a key role in defining the optimal combination of ingredients and processes to achieve the desired performance. Every new formulation requires testing, experimentation, and […]
DAI-Query: Intellico’s solution for Cocktail Engineering
We previously explained how generative AI can improve customer care servicesHereafter, we bring an example of how generative AI-based query systems can simplify access to...
Improve food development with AI
As we talked about how AI can be used to revolutionize cosmetic company in https://intellico.ai/blog/is-ai-a-game-changer-for-cosmetics-companies/, the food industry is no exception. By maximizing the amount...
GNN and Product Development: Intellico and the UniMI Department of Computer Science to the ECML PKDD 2024 Machine Learning Conference!
The event, that will be held in Vilnius (Lithuania) from September 9th to 13th 2024, is one of the most renowned European conferences dedicated to...
Is AI a game changer for Cosmetics Companies?
Artificial intelligence (AI) is revolutionizing many industries, including the cosmetics sector. Cosmetic companies of all sizes are incorporating AI to improve their operations, research, and customer engagement. In Italy, the cosmetics industry is booming, with significant growth...
Revolutionizing food product development with AI – The success of Intellico at the Assolombarda Awards
In an industry where most new product launches require extensive development times and often fail to achieve the desired outcomes, Artificial Intelligence is emerging as a crucial game changer...
FAQ
1. How does AI facilitate the identification of regulatory constraints and possible ingredient alternatives?
Matilde accelerates the understanding and adoption of new solutions, promoting an evidence-based approach driven by the R&D department’s accumulated knowledge.
Matilde uses advanced artificial intelligence models to analyze unstructured knowledge from technical reports, external databases, patents, scientific publications and internal documents, automatically extracting relevant information and linking it to available experimental data.
Thanks to this capability, the platform suggests new and innovative solutions, providing concrete support for product development. Quick consultation of the knowledge base allows the R&D team to identify useful references in seconds, even when initial laboratory data is limited.
2. How does AI work for cosmetic product formulation?
AI for cosmetic formulation analyzes historical R&D laboratory data (ingredients, formulations, tests) and uses Graph Neural Networks to predict properties such as viscosity, pH, stability, and sensory parameters of new formulations before physical testing.
Unlike ‘black box’ systems, Explainable AI shows which ingredients influence each property, allowing the formulator to optimize recipes with full understanding rather than by trial and error.
How can R&D costs be reduced with AI for cosmetic formulation?
AI for cosmetic formulation reduces R&D costs on three levels: fewer laboratory tests required, less raw material waste and shorter development cycles.
By predicting the properties of new formulations before physical testing, AI enables only targeted experiments to be carried out, instead of proceeding through a trial-and-error approach. The R&D team can thus dedicate more time to high-potential projects rather than repetitive testing.
4. What is the immediate benefit of Matilde for cosmetic formulations?
The immediate benefit of Matilde is the ability to identify within minutes which available formulations or ingredients to base the development of new alternatives on, while respecting regulatory constraints and customer requirements.
By leveraging simulation capabilities, it is also possible to know in advance whether a formulation will work. By entering a new ingredient combination, the formulator instantly obtains predictions for viscosity, pH, stability and sensory parameters.
This allows non-promising formulations to be discarded immediately, focusing only on those with real potential, eliminating weeks of trial and error.
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Intellico.ai is a provider of vertical AI solutions for the industrial sector operating in Italy and Europe.
