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.
Trustworthy AIWhen using AI models in environments where compliance standards are important, Mosaic Factor can help your company be on top…
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…
Digital TwinsTo allow your business to monitor and optimise your assets in real-time Mosaic Factor uses Digital Twins. They can predict…
Synthetic DataSynthetic data is artificial data generated from original data using a model trained to reproduce its characteristics and structure.
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…
Optimisation ModelsOptimisation AI models allow our client to improve processes, reduce costs and increase competitiveness.
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…
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
TwinOps and MyEV Digital Twins: advancing SDV at RTR Conference
Mosaic Factor participated in this year’s RTR Conference: TwinOps methodology and MyEV Digital Twins transforming SDV, improving efficiency, safety, and lifecycle performance.
Driving trustworthy AI in autonomous mobility: insights from ECAVA
On 5th and 6th February in Brussels, the European Connected and Autonomous Vehicle Alliance (ECAVA) brought together close to 100 representatives from European OEMs, suppliers, technology companies, and public institutions (including Mosaic Factor!). The objective was...
The role of AI in Multimodal Logistics and Sustainable Rail Freight
Last week, our team had the privilege of participating a high-level roundtable at the CIDAI (Centre of Innovation for Data Tech and AI) in Barcelona, encouraging industry dialogue around sharing data across the logistics, mobility, and AI ecosystems. Stefano Persi,...
Agentic RAG for AI
Retrieval-Augmented Generation (RAG) has long been a cornerstone of AI-powered applications, but a new architectural evolution -Agentic RAG- is rapidly becoming the industry norm for production-ready systems. Moving beyond Traditional RAG Traditional RAG pipelines...
TwinOps and MyEV Digital Twins: advancing SDV at RTR Conference
At this year’s RTR Conference, Stefano Persi, CEO, presented Mosaic Factor’s latest advances in software-defined electric vehicles (EVs) through the Twin-Loop project. His session focused on the transformative role of digital twins and TwinOps methodology in...
Driving trustworthy AI in autonomous mobility: insights from ECAVA
On 5th and 6th February in Brussels, the European Connected and Autonomous Vehicle Alliance (ECAVA) brought together close to 100 representatives from European OEMs, suppliers, technology companies, and public institutions (including Mosaic Factor!). The objective was...
The role of AI in Multimodal Logistics and Sustainable Rail Freight
Last week, our team had the privilege of participating a high-level roundtable at the CIDAI (Centre of Innovation for Data Tech and AI) in Barcelona, encouraging industry dialogue around sharing data across the logistics, mobility, and AI ecosystems. Stefano Persi,...
Agentic RAG for AI
Retrieval-Augmented Generation (RAG) has long been a cornerstone of AI-powered applications, but a new architectural evolution -Agentic RAG- is rapidly becoming the industry norm for production-ready systems. Moving beyond Traditional RAG Traditional RAG pipelines...