AI Specialized for Chemical & Compound Formulation
Matilde accelerates the development of chemical products, compounds and coatings, supporting product formulation through Explainable AI models.
Discover the right solution for your R&D
Competitive advantages
Faster Time to Market
The chemical and compound industry requires long and costly development cycles to validate formulations of compounds, coatings and additives. Matilde accelerates this process by virtually simulating thousands of raw material combinations, predicting critical properties such as density, hardness, tensile strength and aging resistance before physical testing.
Instead of proceeding by trial and error in the laboratory, R&D chemists can focus resources only on the most promising prototypes.
Lower R&D Costs
Elastomers, resins, plasticizers, and functional fillers represent significant cost items in the development of compounds and coatings.
Each round of experimental testing consumes materials that, in the event of a nonconforming formulation, become waste. Matilde
reverses this logic: it virtually simulates the behavior of recipes before physical production, reducing the number of test batches required.
Valuable raw materials are reserved for prototypes with a high probability of success, lowering waste and optimizing the R&D budget.
Know-How Enhancement
AI processes laboratory data, formulation history, test results, and production feedback, creating an always up-to-date and contextualized chemical 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 work for chemical compounds and rubbers?
AI for chemical compounds and rubber analyzes historical formulation data (ingredients, percentages, rheometric tests) and predicts the physico-mechanical properties of the final product — such as density, hardness, viscosity, tensile strength, wear resistance, and aging behavior. Additionally, Matilde’s AI assistant analyzes unstructured knowledge from technical reports, external databases, patents, scientific publications, and internal documents to suggest new ingredients and accelerate the identification of high-performance yet more cost-effective solutions.
2. How does Matilde protect proprietary formulations?
Proprietary formulations and recipes are key competitive assets. MATILDE allows you to leverage artificial intelligence to accelerate innovation without compromising the confidentiality or control of your strategic data. MATILDE is designed to protect the confidentiality, ownership and integrity of your formulations. Here is how we do it:
- Complete Data Isolation: Customer data, including formulations, tests and derived models, is completely separated and is not accessible by other tenants or organizations.
- Models remain company assets: Versions of models trained on customer data remain the exclusive property of the company and are not incorporated into general models shared with other users, nor used to train external models.
- No third-party sharing: Data is not shared with external partners or suppliers and is not used for purposes other than the agreed operational ones.
- Privacy regulation compliance: We operate in Europe. Therefore, the platform is fully compliant with GDPR and best practices in data security, with access controls and policies that protect sensitive information.
3. Can I use Matilde to reformulate while reducing raw material costs?
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Intellico.ai is a provider of vertical AI solutions for the industrial sector operating in Italy and Europe.
