Case studies

From research to industry, case studies on the practical use of Explainable AI for product development and supply engineering

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Faster Cosmetic Product Development with Explainable AI, when traditional machine learning isn’t enough

Predictive power only generates value when it can be used easily and immediately. This principle underpins...

How Resilco Uses AI to Speed Up the Journey From Industrial Waste to New Materials

To accelerate the validation of new material formulations, Resilco therefore partnered with Intellico, through the MATILDE® platform...

How Phoenix International Uses AI to Unlock Decades of Engineering Know-How

One of the companies tackling this challenge is Phoenix International S.p.A., one of the leading international players in aluminum extrusion dies. With over 50 years of experience, 10 manufacturing plants...

How Fedegari Accelerates Tender Response in Pharmaceutical Manufacturing with AI

Fedegari Autoclavi operates on an Engineer-to-Order model where every tender requires analyzing URS documents that run hundreds of pages long and...

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 […]

Smau London  2025 - Intellico

AI Applications for Industry and New Product Development: Intellico’s Experience at SMAU London 2025

In recent years, artificial intelligence is transforming the way companies innovate and launch new products to market. From initial research to final testing, AI is redefining traditional processes, offering powerful tools...

AI e Progettazione_Intellico

Generative AI in Design: A Paradigm Shift for the Design Industry

In recent years, generative artificial intelligence (generative AI) has revolutionized many industries, including design and engineering. With its ability to analyze large volumes of data...

Cocktail Engineering - Intellico

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...

Cut time-to-market: a case study on tender management in the manufacturing sector

Lead times make a difference, but compressing them is not easy In the context of contract manufacturing (Make-to-Order)...

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Intellico.ai is an Artificial Intelligence software company operating in Italy and across Europe.