MOSAIC FACTOR MISSION STATEMENT
Solving problems with data to make a positive impact in society.
Solutions
Turning your data into value.
We focus on real market problems to generate tangible value related to the use of data.
Scroll down to browse through our main solutions.
Pattern ExplorationOur descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.- Market UnderstandingOur descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.
Market TrendsOur predictive models analyse market data, consumer behavior, and external factors to understand patters, identify trends and anticipate shifts.- Supply Chain ManagementWe can use historical and real-time data analytics to manage the supply chain, optimise transportation and ensure on-time product delivery.
- Inventory ManagementWe use predictive models to optimise inventory levels by considering factors such as lead time, demand variability, and storage costs.
- Quality AnalyticsWe identify patterns that correlate with defects or quality issues, allowing your business to take corrective actions early and maintain…
- Demand Cost ForecastingOur predictive models help businesses forecast demand for products or services. By analysing historical sales data, seasonality, economic factors, and…
- Predictive MaintenanceFor Predictive maintenance models, we use historical and real-time data to anticipate equipment failures or maintenance needs. By analysing sensor…
Data As a Service ProductsData as a Service (DaaS) is a cloud-based model that allows companies to access, manage, and analyse data on demand,…
Data Enhanced ProductsThrough different data sources (ie. physical tests) and ML models and usually in combination with our digital twin solutions, our…
Digital TwinsTo allow your business to monitor and optimise your assets in real-time Mosaic Factor uses Digital Twins. They can predict…
LLMsAt Mosaic Factor, we focus on the creation of domain specific LLMs (or light Large Language Models) for our client…- Predictive ModelsPredictive modelling, also known as predictive analytics, is a discipline that uses statistical, mathematical and artificial intelligence techniques to predict…
- Descriptive ModelsDescriptive models aim to describe patterns, relationships, and structures within data. They don’t predict future outcomes but provide insights into…
Synthetic DataSynthetic data is artificial data generated from original data using a model trained to reproduce its characteristics and structure.
Trustworthy AIWhen using AI models in environments where compliance standards are important, Mosaic Factor can help your company be on top…
Industries
Healthcare
Mosaic Factor’s higher priority in Healthcare is making use of data to improve patient care and monitoring in a safe…
ExploreManufacturing
Mosaic Factor’s higher priority in Manufacturing is aid our clients decrease costs, increase sustainability while streamlining the production chain.
ExploreCorporate Services
Our machine learning and complex algorithms help organisations manage compliance and customer service to increase the service level of your…
ExploreMobility
Mosaic Factor’s higher priority in Mobility is to optimise transport systems to people’s mobility while improving overall security and sustainability…
ExploreAutomotive
Mosaic Factor’s apply AI solutions in various aspects of the automotive industry, usually by enhancing vehicles and its components during…
ExploreLogistics
Mosaic Factor’s higher priority in Logistics is sharing key data across different Supply Chain players to optimise performance while managing…
Explore
Projects
About US
Scalable data solutions: we build robust and efficient algorithms that work at scale, maximising performance and reducing computational costs and time.
Our Clients
Do you have any questions?
We are always ready to help you and answer your questions.
Latest news
Our top algorithms for predictive modeling
When doing Predictive Models, we create ad hoc algorithms to help our client companies solve specific problems.
What are light LLMs?
Let’s start by defining first LLMs. What are LLMs? LLMs (Large Language Models), are advanced AI systems capable of understanding and generating various forms of content, including text, code, images, video, and audio. These models are trained on at least one billion...
AI-enhanced products to improve healthcare
Last month, our CMO and PM Anna Valli was invited to participate in the VI International Conference on Activity and Behaviour Computing (ABC24) chaired by Professor Sozo Inoue from Kyutech (Kyushu Institute of Technology, Japan) and sponsored by IEEE (Institute of...
Trustworthy AI for different industries
When applying Trustworthy AI techniques, we always focus on the explainable AI solutions that allow us to unlock what is behind and AI model and make it accessible to different stakeholders, so that we can trust its responses. The explainability of an AI model can be...
Our top algorithms for predictive modeling
When doing Predictive Models, we create ad hoc algorithms to help our client companies solve specific problems. These algorithms may vary according to the problem that needs solved. In fact, selecting the wrong algorithm will not only result in poor performance, but...
What are light LLMs?
Let’s start by defining first LLMs. What are LLMs? LLMs (Large Language Models), are advanced AI systems capable of understanding and generating various forms of content, including text, code, images, video, and audio. These models are trained on at least one billion...
AI-enhanced products to improve healthcare
Last month, our CMO and PM Anna Valli was invited to participate in the VI International Conference on Activity and Behaviour Computing (ABC24) chaired by Professor Sozo Inoue from Kyutech (Kyushu Institute of Technology, Japan) and sponsored by IEEE (Institute of...
Trustworthy AI for different industries
When applying Trustworthy AI techniques, we always focus on the explainable AI solutions that allow us to unlock what is behind and AI model and make it accessible to different stakeholders, so that we can trust its responses. The explainability of an AI model can be...