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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.
View solutionData 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 solutionOptimisation AI models allow our client to improve processes, reduce costs and increase competitiveness.
View solutionDescriptive models aim to describe patterns, relationships, and structures within data. They don’t predict future outcomes but provide insights into existing phenomena.
View solutionPredictive 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 solutionAt Mosaic Factor, we focus on the creation of domain specific LLMs (or light Large Language Models) for our client organisations.
View solutionSynthetic data is artificial data generated from original data using a model trained to reproduce its characteristics and structure.
View solutionTo 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 solutionFor 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 solutionOur 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 solutionWe identify patterns that correlate with defects or quality issues, allowing your business to take corrective actions early and maintain high-quality standards.
View solutionWe use predictive models to optimise inventory levels by considering factors such as lead time, demand variability, and storage costs.
View solutionWe can use historical and real-time data analytics to manage the supply chain, optimise transportation and ensure on-time product delivery.
View solutionOur predictive models analyse market data, consumer behavior, and external factors to understand patters, identify trends and anticipate shifts.
View solutionOur descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.
View solutionOur descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.
View solutionWhen 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 solutionData Strategy study for interoperability of Electric Vehicles
View projectSimulations for shunting operations
View projectModelling Platform
View projectPredictive model for rail freight flow
View projectParking meter section predictive tool
View projectMultimodal inland planner
View projectEV charger Location Planning Tool
View projectModelling Platform
View projectEuropean Smart Mobility Resource Manager
View projectContainer Transport Forecast
View projectBehaviour Change
View projectH2020 inclusive Transport project
View projectSimulations for shunting operations
View projectPredicting b us network occupancy
View projectParking meter section predictive tool
View projectMultimodal inland planner
View projectEV charger Location Planning Tool
View projectModelling Platform
View projectEuropean Smart Mobility Resource Manager
View projectContainer Transport Forecast
View projectPredictive model for rail freight flow
View projectReal and synthetic scenarios
View projectDetection and classification of disruptions’ model.
View projectHorizon Europe projects analysis tool
View projectSYNTHETIC DATA in AI models
View projectModelling Platform
View projectB2B Marketplace data mining and platform dev
View projectReal and synthetic scenarios
View projectSustainable 5G deployment model
View projectOpen Framework for TwinOps and vehicle specific Digital Twin for Software Defined Evs
View projectMosaic 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 industryMosaic Factor’s apply AI solutions in various aspects of the automotive industry, usually by enhancing vehicles and its components during its development.
View industryMosaic 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 industryOur 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 industryMosaic Factor’s higher priority in Manufacturing is aid our clients decrease costs, increase sustainability while streamlining the production chain.
View industryMosaic 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 industrySimulations for shunting operations
View projectMultimodal inland planner
View projectDetection and classification of disruptions’ model.
View projectModelling Platform
View projectContainer Transport Forecast
View projectPredictive model for rail freight flow
View projectData Scouting
View projectSustainable 5G deployment model
View projectOpen Framework for TwinOps and vehicle specific Digital Twin for Software Defined Evs
View projectPredicting b us network occupancy
View projectForecasting model and maintenance
View projectParking meter section predictive tool
View projectBehaviour Change
View projectEV charger Location Planning Tool
View projectModelling Platform
View projectH2020 inclusive Transport project
View projectHorizon Europe projects analysis tool
View projectOct 10, 2024
Synthetic data is artificial data generated from original data using a model trained to reproduce its characteristics and structure. Overcome challenges related to cybersecurity, privacy, and data sensitivity while using advanced information modeling and AI...Oct 10, 2024
At Mosaic Factor, we focus on the creation of domain specific LLMs (or light Large Language Models) for our client organisations. Lightweight LLMs are of huge importance considering factors such as: Sustainability Privacy Ethics Light LLMs are more accountable AI...Oct 10, 2024
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. Unlocking Business Insights We start by defining the business...Oct 10, 2024
Descriptive models aim to describe patterns, relationships, and structures within data. They don’t predict future outcomes but provide insights into existing phenomena. Our descriptive AI models provide valuable insights for decision-making and understanding complex...Oct 10, 2024
In a world where efficiency and innovation are crucial for success, optimisation artificial intelligence (AI) models have become essential tools for businesses across a variety of industries. These models allow us to improve processes, reduce costs and increase...This website uses cookies to collect information in order to improve our services and show you advertising related to your preferences. If you click on the "Accept all" button, you accept the installation of all of them. You can manage the acceptance of the different types of cookies by clicking on "Configure". You also have the option of configuring your browser so that, if you wish, you can prevent them from being installed on your hard drive, although you should bear in mind that doing so may cause difficulties in browsing the website. You can consult more information about the cookies used by our website in our cookies policy.