Data Enhanced Products

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Through different data sources (ie. physical tests) and ML models and usually in combination with our digital twin solutions, our data enhancement solution can learn, predict, and simulate outcomes to provide automatic product configurations that result in product and component improvement during the development process.

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Data As a Service Products

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Data as a Service (DaaS) is a cloud-based model that allows companies to access, manage, and analyse data on demand, without the need for extensive on-premise infrastructure.

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Optimisation Models

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Optimisation AI models allow our client to improve processes, reduce costs and increase competitiveness.

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Descriptive Models

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Descriptive models aim to describe patterns, relationships, and structures within data. They don’t predict future outcomes but provide insights into existing phenomena.

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Predictive Models

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Predictive modelling, also known as predictive analytics, is a discipline that uses statistical, mathematical and artificial intelligence techniques to predict future outcomes based on historical data.

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LLMs

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At Mosaic Factor, we focus on the creation of domain specific LLMs (or light Large Language Models) for our client organisations.

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Synthetic Data

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Synthetic data is artificial data generated from original data using a model trained to reproduce its characteristics and structure.

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Digital Twins

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To allow your business to monitor and optimise your assets in real-time Mosaic Factor uses Digital Twins. They can predict failures, detect inefficiencies, and improve decision-making through the use of data.

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Predictive Maintenance

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For Predictive maintenance models, we use historical and real-time data to anticipate equipment failures or maintenance needs. By analysing sensor data, maintenance logs, and other relevant information, we can schedule maintenance proactively, reduce downtime, and extend the lifespan of your machinery.

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Demand Cost Forecasting

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Our predictive models help businesses forecast demand for products or services. By analysing historical sales data, seasonality, economic factors, and external events we can optimise inventory levels, allocate resources efficiently, and minimise overstock or stockouts.

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Quality Analytics

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We identify patterns that correlate with defects or quality issues, allowing your business to take corrective actions early and maintain high-quality standards.

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Inventory Management

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We use predictive models to optimise inventory levels by considering factors such as lead time, demand variability, and storage costs.

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Supply Chain Management

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We can use historical and real-time data analytics to manage the supply chain, optimise transportation and ensure on-time product delivery.

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Market Understanding

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Our descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.

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Pattern Exploration

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Our descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.

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Trustworthy AI

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When using AI models in environments where compliance standards are important, Mosaic Factor can help your company be on top of data governance by applying trustworthy AI solutions.

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Logistics

Logistics

Mosaic Factor’s higher priority in Logistics is sharing key data across different Supply Chain players to optimise performance while managing sustainability by mitigating the impact of these operations.

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Automotive

B:SM Tram Parquímetre

Mosaic Factor’s apply AI solutions in various aspects of the automotive industry, usually by enhancing vehicles and its components during its development.

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Mobility

Mobility

Mosaic Factor’s higher priority in Mobility is to optimise transport systems to people’s mobility while improving overall security and sustainability of transport solutions.

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Corporate Services

Corporate Services

Our machine learning and complex algorithms help organisations manage compliance and customer service to increase the service level of your organization while optimising resolution time for several processes.

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Manufacturing

Manufacturing

Mosaic Factor’s higher priority in Manufacturing is aid our clients decrease costs, increase sustainability while streamlining the production chain.

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Healthcare

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Mosaic Factor’s higher priority in Healthcare is making use of data to improve patient care and monitoring in a safe manner to optimise healthcare systems resources and assisting healthcare professionals.

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Our take-aways from Mobile World Congress 2025 week

The Mosaic Factor team participated in different MWC 2025 events as well as side events related to technology, open data, and gender equality.
During our presence at Mobile World Congress, we had the opportunity to immerse ourselves in cutting-edge technologies, make key connections and explore transformative trends.

Elena from Mosaic Factor with a drone during MWC 2025

There were so many things going on at the same time. If you want to have a global grasp of everything that took place there, you can check McKinsey’s global key take-aways from MWC2025, but here is a highlight of some of the most relevant moments of our participation.

Conferences

Conferences 4YFN during MWC 2025

We were at various conferences on GenAI at 4YFN with magnificent talks such as “Prompting Business Models to Life” moderated by Oisin Lunny with speakers Miguel A. de Kfund, Pilar Manchón from Google, and Shahid Azim on how Generative AI rewrites business models.

Related to the topic above, we also participated in “Do AI Agents speak business?” and “The convergence of AI, GenAI and open RAN“.

Finally, we attended a conference on how collaboration facilitates the culture of innovation, as well as talks on how to enact equity in the digital age.

New Tech

Discover the latest tech trends that captivated us at the event. From groundbreaking advancements to game-changing innovations, here’s what you need to know.

1. AI Agents

At Mobile World Congress 2025, one of the most prominent trends was that of artificial intelligence (AI) agents. Not only do these agents respond to queries, but they can also adapt and personalize their responses based on the user’s history, preferences, and emotional tone.

This ability to personalise and adapt is known as Personality Engineering.

In addition, the integration of these agents in mobile devices, such as the Samsung Galaxy S25, which can process voice commands and perform actions between different applications without human intervention, was highlighted

This trend promises to reduce the need for direct interaction with devices, automating tasks based on user preferences.

2. AI-driven semiconductors

AIpowered semiconductors were also a central theme.

Intel introduced its new Xeon 61, a systemonchip (SoC) with AI integration that significantly improves radio access network (RAN) capacity and energy efficiency. This chip offers up to 2.4x more RAN capacity and 70% better performance per watt compared to previous generations. Builtin AI acceleration enables up to 3.2x higher AI RAN performance.

AMD highlighted advances in AIpowered highperformance semiconductor technologies, especially in edge computing. These technologies allow data to be processed closer to where it is generated, improving the speed and efficiency of applications in real-time.

An AI-powered platform was introduced to redefine telecom operations, optimising network performance in real-time. This platform seeks to integrate AI directly into network infrastructure, such as radios, routers, and edge computing nodes, to improve efficiency and reduce costs. These innovations are designed to improve network connectivity and performance, making AI more viable at scale.

3. Smart Factory and the smart industrial revolution

A special focus was placed on smart factory systems, integrating signals, connectivity, and artificial intelligence (AI) to optimise processes and increase efficiency. This development underscores the importance of technological innovation in the transformation of the industry.

Intelligent systems during MWC 2025

Meaningful connections

1. Digital Twins and sustainability with Fujitsu

We discovered Fujitsu’s innovative use of digital twins, based on data collected by marine drones. This project makes it possible to map and analyse the seafloor along the coast of Japan, providing information on carbon emissions, biodiversity, and environmental predictions. In addition, Fujitsu presented us with a Chat AI Agent designed for the automotive sector, along with a use case focused on the range and capacity of electric vehicle batteries.

Fujitsu stand on AI assisted digital twin for sustainability at MWC 2025

2. Design, mobility and robotics: Pininfarina and Ducati

We had the pleasure of collaborating with the Pininfarina and Ducati teams, benchmarks in design and mobility, to explore technological and creative synergies, as they are now entering new technologies such as robotics.

Ducati AI systems displayed at MWC 2025

3. EV charging solutions with Zunder

We explored the initiatives of Zunder, a leading leader in EV charging, which continues to lead the way towards more sustainable mobility.

Side events during MWC

In parallel, we also participated in Barcelona Woman Acceleration Week and Barcelona Open Data initiatives.

Barcelona Women Acceleration Week highlights

Barcelona Woman Acceleration Week
In BWOW 2025, we would highlight the speech of María González Veracruz, Secretary of State for Digitalization of Spain and AI, emphasizing the persistent gender equality gap in all industries, particularly in Tech: “We must work to create a new era of inclusive entrepreneurship”. Many women are not only qualified, but they are often overqualified, however, this does not always lead to opportunities in leadership roles.

Open Data day
We were also honored to participate in Open Data Day 2025, a global celebration of OpenData, with a session entitled “Women Leading Open Data for Equality.

Organised by the Barcelona Open Data Initiative, this session highlighted the critical role that open data plays in addressing equality challenges. High-profile speakers -women at the forefront of data technologies and open data- shared their knowledge, experiences, and best practices in publishing and reusing open data. This event is part of Open Data Day, an annual global celebration that has been encouraging the adoption of open data in all countries and cultures for the past 12 years. Powered by the Open Knowledge Foundation and its network, the initiative underscores the importance of leveraging open data to drive innovation and promote equality globally.