AI Specialized for Food & Beverage Formulation
Matilde reduces physical testing and time-to-market without compromising quality, taste and food safety.
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 the time to market of new food products.
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
Matilde drastically reduces product development 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 food 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 alternative recipes?
Matilde accelerates the understanding and adoption of new solutions, analyzing unstructured knowledge from technical reports, external databases, and internal documents, automatically extracting relevant information on ingredient properties and recipes, and linking it to available experimental data.
2. How does AI work for food product development?
3. Can Matilde substitute ingredients while maintaining the same product properties?
4. Does Matilde integrate with existing laboratory systems (LIMS)?
Yes. Matilde integrates natively with the leading LIMS systems such as Labware, Labvantage, and Thermo Scientific, as well as with PLM, MES, ERP systems and simple Excel/CSV files. The integration allows historical formulations and test results to be imported automatically, without having to manually reload data or modify existing workflows.
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Intellico.ai is a provider of vertical AI solutions for the industrial sector operating in Italy and Europe.
