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

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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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Mobile World Congress 2026: Entering the IQ Era

Barcelona once again became the centre of the global mobile and technology ecosystem as the Mobile World Congress (MWC) returned with its 2026 edition, bringing together more than 2.900 exhibitors and over 1.200 speakers. This year’s official theme, “The IQ Era”, focused on intelligent infrastructure, AI-driven connectivity, enterprise AI integration, and inclusive innovation, signaling a major shift in how telecommunications networks are evolving into the backbone of the global AI ecosystem.

Representing Mosaic Factor at the event was Head of Sales Joan Sampablo, who attended on behalf of Mosaic Factor to explore the latest developments shaping the future of connectivity, artificial intelligence, and digital infrastructure.

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Telecom as the backbone of AI 

MWC 2026 highlighted how the telecom industry is moving beyond connectivity to become a core enabler of the next generation of AI-powered services. Leadership from the GSMA outlined three key pillars expected to drive the next phase of digital growth:  

  • The completion of 5G standalone network rollouts.
  • Broader access to open and inclusive AI technologies.
  • Stronger global digital safety and trust frameworks 

These priorities reflect a broader shift toward networks that are not only faster but also capable of supporting distributed intelligence and AI-driven services. 

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The rise of on-device intelligence

A major theme throughout the event was the rise of AI everywhere, particularly the shift toward on-device and network-native intelligence. Chipmakers and device manufacturers showcased powerful new system-on-chip architectures designed for local AI inference, enabling capabilities such as:

  • Real-time translation
  • On-device summarization
  • Advanced photo processing
  • AI assistants capable of performing complex tasks without relying on the cloud.

For developers and enterprises, this shift signals a new design standard where applications are built with local AI processing and multimodal interaction in mind, combining camera, voice, and text interfaces to deliver richer experiences.

Future of autonomous systems

Another prominent topic was the emergence of agentic AI systems, where autonomous AI agents can coordinate tasks across networks, infrastructure, and physical environments. Telecom providers and startups demonstrated how such systems could be applied to network orchestration, automated operations, and enhanced cybersecurity.

Next generation of connected systems

One of the most talked-about concepts at this year’s congress was “kinetic compute” and “kinetic tokens.” These represent ultra-fast compute units designed to synchronise real-world actions across robotics, drones, autonomous vehicles, and other distributed systems. Telecom operators argue that their networks are uniquely positioned to deliver the millisecond-level coordination required to power these emerging technologies. 

Security, digital trust, and global inclusion

Security and global digital inclusion also featured prominently across the conference agenda. With cybercrime costs continuing to rise worldwide, industry leaders emphasised the importance of:

  • Privacy-preserving AI
  • Stronger digital identity frameworks
  • AI models capable of supporting more global languages
  • Cross-border infrastructure standards

These priorities reflect the growing recognition that technological innovation must be accompanied by strong governance and inclusive digital access.

Mosaic Factor at MWC 2026

According to Joan, attending MWC provides valuable insights into how the telecom and technology landscape is evolving at a rapid pace. The event highlighted the growing importance of AI-enabled infrastructure and edge computing, as well as the increasing role telecom networks will play in enabling intelligent applications and connected systems.

For Mosaic Factor, attending the congress offers an opportunity to stay closely aligned with emerging industry trends and innovations that will shape the next generation of digital solutions.

As the industry moves deeper into the so-called IQ-Era, the convergence of AI, advanced connectivity, and distributed computing is expected to redefine how devices, networks, and businesses interact, creating new opportunities for innovation across sectors worldwide.