AI Specialized for Chemical & Compound Formulation
Matilde accelerates the development of chemicals, compounds and paints by supporting formulation through Explainable AI models.
Discover the right solution for your R&D
Competitive advantages
Reducing Time to Market
The chemical and compound industry requires long and expensive development cycles to validate formulations of compounds, coatings and additives.
Matilde accelerates this process by simulating virtually thousands of raw material combinations, predicting critical properties such as density, hardness, tensile strength and aging prior to physical testing.
Instead of proceeding by trial and error in the laboratory, R&D chemists can focus resources only on prototypes with the most promising characteristics.
R&D cost reduction
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.
Enhancement of know-how
AI processes laboratory data, formulation history, test results, and manufacturing feedback, creating a constantly updated and contextualized chemical 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, independent asset
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
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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 and rubber compounds analyzes historical formulation data (ingredients, percentages, rheometric tests) and predicts the physical-mechanical properties of the final product-such as density, hardness, viscosity, tensile strength, wear resistance, and aging behavior. In addition, Matilde’s AI assistant analyzes unstructured knowledge from technical reports, external databases, patents, scientific publications, technical reports, and internal documents to suggest new ingredients and accelerate the identification of high-performance but less expensive solutions.
2. How does Matilde protect proprietary formulations?
The formulations and proprietary recipes Are key competitive assets. MATILDE enables you to leverage artificial intelligence to accelerate innovation Without compromising confidentiality or control over your strategic data. MATILDE is in fact designed to protect The confidentiality, ownership and integrity of your formulations.. Here’s how we do it:
- Complete data isolation (Data Isolation):
Client data, including formulations, tests and derived models, are completely segregated and are not accessible by other tenants or organizations. - Models remain corporate 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 or used to train external models. - No sharing with third parties:
Data are not shared with external partners or suppliers and are not used for any purpose other than agreed operational purposes.
Compliance with privacy regulations:
We operate in Europe. Therefore, the platform naturally complies with the GDPR and data security best practices, with access controls and policies that protect sensitive information.
3. Can I use Matilde to reformulate by reducing raw material costs?
Yes. Matilde simulates the impact of substituting cheaper ingredients on final product properties, showing if and how technical characteristics change. Using Explainable AI’s innovative algorithms, alternatives that produce equivalent results at lower cost are generated, allowing cost-driven reformulations without compromising the specifications required by the customer or the production process.
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Intellico.ai is a provider of artificial intelligence-based software solutions with a presence in Italy and Europe.
