Data Enhanced Products

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

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

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

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Descriptive Models

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

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

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

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

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

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

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

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

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

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

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

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Pattern Exploration

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

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Trustworthy AI

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

Healthcare

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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Projects

Traffic Management Control

Sustainable 5G deployment model

Client

Partners

The problem

To design, develop, demonstrate, and validate a TMC (Traffic Management Center) for Abertis Autopistas.

Included within an advanced Cooperative Connected, and Automated Mobility (CCAM) initiative for the automotive sector and railway communication services along the Mediterranean cross-border corridor between Figures, Spain and Perpignan, France, enabled by a multi-stakeholder compute and network infrastructure deployed by MNOs, neutral hosts, and road and rail operators, based on 5G.

The solution

Bringing sustainable 5G deployment model for future mobility in the Mediterranean Cross-Border Corridor.

Our Traffic Management Control solution developed has a complete vision of the current state of the traffic and incidents long the highway. By combining different data sources, the TMC can:

    • Provide complete vision of the traffic and incidents status long the high way in real-time
    • Provide real-time information to the connected vehicles and high-way information panels
    • Allow reaction in real-time to the traffic and manage traffic by the creation of the traffic strategies
    • Send traffic and incidents information to the connected vehicles or data infrastructure long the highway.

We designed the TMC to make full use of all the advantages of the 5G communication technology. It implements a distributed architecture able to be deployed in multiple edge and cloud nodes.

Data

We combined data in real time from different sources:

    • CV and CAV (Connected and Connected Autonomous Vehicles)
    • Road-side videocameras with ML RT video-processing
    • Third party traffic data providers

Results

The project demonstrates advanced Cooperative Connected, and Automated Mobility and Future Railway Mobile Communications System services between Spain and France.

Tangible results:

    • Full vision of the traffic status long the high way in real time
    • Automatic detection of road incidents
    • Self-managed traffic strategies to mitigate traffic congestions due traffic incidents or high level of traffic flow
    • The digitalisation of the road infrastructure with a network of sensors, enabling road operators to execute intelligent traffic management strategies that ensure uninterrupted, safe, and efficient mobility in a situation of mixed conventional and automated traffic.

Imagery

Do you have any questions?

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