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.

View solution

Synthetic Data

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

View solution

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.

View solution

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.

View solution

LLMs

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

View solution

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.

View solution

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.

View solution

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.

View solution

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.

View solution

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.

View solution

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.

View solution

Inventory Management

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

View solution

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.

View solution

Market Understanding

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

View solution

Pattern Exploration

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

View solution

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.

View industry

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.

View industry

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.

View industry

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.

View industry

Manufacturing

Manufacturing

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

View industry

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.

View industry

Projects

AMB Informació

Simulations for shunting operations

Client

The problem

AMB Informació is deploying a Metropolitan Mobility Big Data platform that will allow AMB Informació to analyse and apply AI solutions that bring direct added value to society and to AMB by crossing all data sources of the different services managed by AMB Informació, as well as introducing information from external data to AMB services.

For that, there is a requirement to develop a service for identification, analysis and evaluation of new data sources to be integrated in the big data area of ​ AMB’s business. For instance:

    • mobility,
    • sustainability,
    • logistics,
    • Barcelona metropolitan area,
    • climatology,
    • incidents,
    • flights, etc.

The specific objective of this project consisted in carrying out an exhaustive exploration exercise to identify and evaluate data providers aligned with the objectives of AMB Informació.

This involves:

    • researching and profiling various providers,
    • establishing communication channels and evaluating different aspects of the data services they offer.
    • to finally provide customised recommendations that address specific use cases within AMB Informació’s business domains, ensuring informed decision-making and maximising the value of data acquisition and sharing.
    • Adequately managing AMB concerns requires identifying the following three areas of interest:
      • demand management,
      • mobility planning,
      • and traffic analysis.
    • Each of these areas is highly dependent on access to specific data sources and knowledge in order to properly guide decision-making and strategy formulation.

The solution

A complete and very detailed data scouting on the specific use cases and categories detected by both MOSAIC FACTOR and AMB Informació useful for the Mobility landscape.
The data scouting methodology is shown in the following figure:

The report documents the results obtained from contact with potential data providers, selected based on a previous exploration exercise carried out in the context of this project.

    • The scan identified 30 potential data providers with offerings related to AMB’s interests. 13 were chosen to contact and engage, representing the best offers available on the market.
    • Contact was made with 10 suppliers, from whom detailed information was collected, including dossiers of their products and/or services, with additional information on their capabilities in the geographical area of ​​operation of the AMB.
    • In addition, data samples were collected for further analysis. This information was subjected to an analysis process to provide a more complete view of the offer in terms of data, tools and services.
    • In each of the offerings from the data providers, the relevance of the offer to the three areas of concern identified by the project is discussed and assessed.
    • In addition, each offer is evaluated with a score on a scale of 1 to 5, where 1 indicates a minimal relationship and 5 indicates a perfect adaptation to the needs of the AMB. This score allows the customer to discern the relevance of each offer, with 2 indicating some relevance, 3 reasonable relevance with potential added value, and 4 tangible added value.
    • Subsequently, suppliers are compared to determine which are the most suitable to meet the requirements of the AMB in each area and recommendations are formulated accordingly.

Furthermore, additional information was added into the final report directly requested by the costumer:

    • Open mobility data sources catalogue from Barcelona area (mobility datasets and other typologies and its relevance to the use cases of the project)
    • Data sources providers of local information (either local or external providers)
    • R&D datasets related to mobility
    • Environmental data providers (air quality and meteo data)
    • Flight data providers

Data

Plenty of data sources and datasets with mobility and other types of data useful for AMB Informació’s objectives (confidential information) as well as several open datasets.

Results

The results of the project consist essentially in the final confidential report of the scouting provided to AMB Information, with the providers data portfolio as well as data files and other useful information for the main objectives of the project.

The analysis performed to the main data providers contain:

    • Information and main characteristics of the data providers (name, url, type of company, type of datasets, value to the use cases, description of the services, size of the datasets, etc.)
    • Data analysis:
      • Dataset / platform description
      • Update period
      • Data composition
      • Data precision / aggregation level
      • Samples / platform demo
    • Main contacts
    • Overall recommendations and conclusions for the client

Do you have any questions?

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





    *Fields marked with an asterisk are mandatory