Matilde: Reduce the Time-to-Market of new products and optimize existing formulations.
The Explainable AI Platform that Accelerates the Development of New Formulations in Cosmetics, Chemicals and Food.
MATILDE is a platform that integrates predictive and generative AI to support R&D laboratories in the simulation, optimization, and validation of formulations — reducing time, costs, and the number of physical experiments.
Discover the right solution for your R&D
Matilde optimizes:
first
MATILDE
after
Time to Market
7
Months
2
Months
Waste
50%
Material WasteMaterial Waste
Test
30
Testing before approval
10
Testing before approval
MATILDE: main modules
Monitor Laboratory data and manage R&D projects.
Predict, analyse and decide what to move forward in the laboratory
Verify regulatory constraints and possible alternative raw materials
& EXPLAINER
ASSISTANT
How Matilde works
1
LEARNS
Uploads historical product data, tests and specifications
STEP
2
Predicts performance and critical issues
STEP
3
Identifies key factors with transparent explanations
STEP
4
Provides data-driven suggestions for the final formulation
Areas of application
AI for cosmetic formulation
Skincare, haircare, make-up, fragrances...
Predicts: viscosity, pH, stability, texture, absorption
AI for chemical formulation
Rubber compounds, paints,
adhesives, polymers, additives...
Predicts: density, hardness, resistance, viscosity, elasticity, aging
AI for food formulation
Snacks and confectionery, supplements, baked goods...
Predicts: taste, stability, shelf-life, hardness, preservation
Who is matilde for?
Scientist & R&D Manager
Product Developer & Innovation Team
Process Engineer & Quality Assurance
Technical Director & Plant Manager
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. What is Matilde?
2. How does Matilde work?
- Quick consultation: through specialized Small Language Model libraries, it accelerates the identification of key information within the large volume of technical documentation available;
- Historical data loading: Matilde integrates with existing LIMS systems (e.g. Labware, Labvantage, Thermo Scientific), PLM and ERP systems, importing past formulations, laboratory tests and measured properties;
- AI learning: the innovative Explainable AI models based on Graph Neural Networks (GNN) analyze the relationships between ingredients and identify hidden patterns in the data, uncovering correlations and similarities that a formulator would not be able to identify independently;
- Prediction and simulation: by entering an ingredient composition, Matilde immediately predicts properties such as viscosity, pH, stability, density, hardness, and sector-specific sensory parameters, supporting the formulator step by step throughout the formulation process.
3. What sets Matilde apart from traditional software?
MATILDE stands apart from traditional software solutions supporting R&D teams (such as PLM, LIMS, etc.) because it is natively built on advanced Artificial Intelligence models, designed to generate predictions, comparative analyses and similarity assessments from laboratory data.
MATILDE complements existing solutions:
- it works alongside LIMS, which primarily handle the collection and management of laboratory test data;
- it integrates with PLM systems, which govern the product lifecycle once the formula has been approved.
MATILDE intervenes earlier, in the most exploratory and critical phase of the formulation process. It is the formulator’s workbench, which they can use to:
- track intermediate trials,
- explore alternative ingredients,
- compare similar formulations,
- generate and validate solution hypotheses,
until the optimal formula is identified. Unlike traditional systems, MATILDE does not simply manage data — it transforms it into actionable insights and predictions to support R&D decision-making.
4. How does Matilde protect proprietary formulations?
- 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.
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Contact us for an evaluation of the impact of our Solutions on your Business.
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Intellico.ai is a provider of vertical AI solutions for the industrial sector operating in Italy and Europe.
