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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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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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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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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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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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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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

MyWay

European Smart Mobility Resource Manager

Client

Funded by the Spanish Government

Partners

The problem

Address the lack of an efficient and seamless integration of complementary, capacity-limited mobility services in the overall urban travel chain, including all transport modes:

    • Electric Vehicles (EVs)
    • Public transport (bus, tram, metro, train)
    • Flexible services such as transport on-demand
    • Mobility sharing schemes (car sharing, motorbike sharing and carpooling)

The solution

A mobile application designed to transform personal mobility in urban regions by integrating all available transportation options—public and private—into a single, seamless journey planning solution.

Mosaic Factor’s role in MyWay project was to develop components and an integrated application to facilitate sustainable mobility, combining all sorts of transport services, public and private, regular and flexible, providing a personalised service offer, adapting route and modality suggestions in real time, monitoring the parameters affecting service offering performance and gathering and maintaining users’ feedback about the quality of services to assist service improvement.

MyWay app provides travel suggestions optimised to the user’s perspective:

    • Considering preferences and needs: including requirements of time, cost, and comfort
    • Integrated ticket information and real-time updates,
    • Displaying of all integrated transport modes available
    • Encouraging the use of cleaner modes of transport.

Data

Mosaic Factor MyWay investigated, developed, validated, and integrated the platform, the European Smart Mobility Resource Manager, including cloud-based services and facilities to support community supplied information collection and processing.

The platform was tested in three European areas – Barcelona and Catalonia Region (ES), Berlin (DE), and Trikala (GR).

Results

The product was tested in three ‘Living Labs’ that have deployed innovative measures to improve sustainable mobility: Catalonia/Barcelona, Berlin, and Trikala.

The combination of large and dense cities along with smaller MyWay test sites reflects the ambition for the European Smart Mobility Resource Manager to be tested in varying urban conditions and produce more in-depth data analysis.

Do you have any questions?

We are always ready to help you and answer your questions. 





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