AI Specialized
for formulation
Cosmetics & Beauty
Matilde accelerates cosmetic product development by supporting formulation through Explainable AI models.
Discover the right solution for your R&D
Competitive advantages
Reducing Time to Market
Implementing AI systems accelerates the product development cycle, reducing time to market.
Matilde allows virtually thousands of combinations and scenarios to be simulated, eliminating unnecessary physical iterations and focusing resources on only the most promising prototypes.
This approach enables informed decisions to be made faster, 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 needs.
R&D cost reduction
MATILDE dramatically reduces product development costs:
- Minimization of physical prototypes: instead of producing samples to test different variants, AI simulation identifies the most promising formulations to be validated in the laboratory.
- Savings on expensive raw materials: used only for final prototypes, not for all exploratory testing.
- Optimization of staff time: formulators devote their skills to validation and fine-tuning, not repetitive testing of combinations.
Enhancement of know-how
AI processes laboratory data, formulation history, test results, and production feedback, creating an up-to-date and contextualized cosmetic R&D knowledge base. Consultation of formulations is immediate, greatly reducing the time it takes to search for technical information.
In companies, years of experimentation risk remaining in the memory of a few technicians. Matilde transforms this experience into a searchable digital asset: every tested formulation and every correlation between ingredients and final properties are archived and made available for the future. Know-how becomes a permanent asset, independent of people.
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 by promoting an evidence-driven approach and the accumulated knowledge of the R&D department.
Matilde uses advanced artificial intelligence models to analyze unstructured knowledge from technical reports, external databases, patents, scientific publications, technical reports, and internal documents, automatically extracting relevant information and linking it to available experimental data.
With this capability, the platform suggests new and innovative solutions, offering concrete support for product development. Quick consultation of the knowledge base enables the R&D team to locate useful references in a matter of moments, even with a limited amount of initial laboratory data.
2. How does AI work for cosmetic product formulation?
AI for formulation in cosmetics analyzes historical R&D lab data (ingredients, formulations, tests) and uses Graph Neural Networks to predict properties such as viscosity, pH, stability, and sensory parameters of new formulations prior to physical testing.
Unlike “black box” systems, Explainable AI shows which ingredients affect each property, allowing the formulator to optimize recipes with knowledge and not by trial and error.
3. How can R&D costs be saved with AI for cosmetic formulation?
AI for cosmetic formulation reduces R&D costs on three fronts: less laboratory testing needed, less waste of raw materials, and shorter development cycles.
By predicting the properties of new formulations before physical testing, AI allows only targeted experiments to be performed instead of proceeding through a trial-and-error approach. The R&D team can thus spend more time on high-potential projects instead of repetitive testing.
4. What is the immediate benefit of Matilde for cosmetic formulations?
Matilde’s immediate advantage is to identify within minutes on which formulations or available ingredients to base the development of new alternatives, while respecting regulatory constraints and client desires.
By taking advantage of simulation capabilities, it is also possible to know in advance whether a formulation will work. By entering a new combination of ingredients, the formulator instantly obtains predictions of viscosity, pH, stability, and sensory parameters.
This makes it possible to discard unpromising formulations right away and focus only on those with real potential, eliminating weeks of trial and error.
