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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Legal Advice

GENERAL INFORMATION

In accordance with Article 10 of Law 34/2002, of July 11, on Information Society Services and Electronic Commerce, we provide the following information:

Mosaic Factor S.L. is domiciled at Calle Sancho de Ávila 19, 5 – 1, 08018 Barcelona, with Tax ID number (NIF) B66786724. Registered in the Mercantile Registry of Barcelona, Volume 4539, Page 171, Sheet B-486283, Entry 1.

The website mosaicfactor.com contains informational content about the products and services of Mosaic Factor S.L.

Its main purpose is to provide clients and the general public with information related to the company and the products and services it offers.

PRIVACY POLICY

In compliance with Organic Law 15/1999, of December 13, on Personal Data Protection (LOPD), users are informed that all data provided to us will be included in a file created and maintained under the responsibility of Mosaic Factor S.L.

Your personal data will always be treated confidentially and will only be used to manage the services offered, respond to your requests, carry out administrative tasks, and send technical, commercial, or advertising information via ordinary or electronic means.

To exercise your rights of opposition, correction, or cancellation, please contact the company headquarters at Marina 60, 4th Floor, Apt. 1, 08005 Barcelona, email us at stefano.persi@mosaicfactor.com, or call +34677600963.

TERMS OF USE

The terms of access and use of this website are governed by current legislation and the principle of good faith, with users committing to make proper use of the website. Conducts that go against the law, rights, or interests of third parties are not permitted.

Being a user of the mosaicfactor.com website implies that you acknowledge having read and accepted these terms and the applicable legal regulations on this matter. If, for any reason, you do not agree with these conditions, please do not continue to use this website.

Any type of notification and/or claim will only be valid if it is made in writing and/or via certified mail.

LIABILITIES

Mosaic Factor S.L. is not responsible for the information and content stored in forums, social networks, or any other medium that allows third parties to publish content independently on the provider’s website.

However, pursuant to Articles 11 and 16 of the LSSI-CE, Mosaic Factor S.L. commits to the removal or blocking of any content that could affect or contravene national or international legislation, third-party rights, or public morals and order.

The company is also not responsible for any damages caused by software failures or improper configurations on the internet user’s computer. All responsibility is excluded for technical issues or failures that may occur when the user connects to the internet. Additionally, no guarantee is given for the absence of interruptions or errors in access to the website.

Mosaic Factor S.L. also reserves the right to update, modify, or delete the information contained on its website, as well as its configuration or presentation, at any time without assuming any responsibility for it.

Please note that any prices displayed on our website are for reference only. If the user wishes to know the exact price or if a product currently has a promotional offer, they should visit one of Mosaic Factor S.L.’s physical stores.

INTELLECTUAL AND INDUSTRIAL PROPERTY

Mosaic Factor S.L. owns all rights to the digital publication software and holds the industrial and intellectual property rights to the content included, except for rights to products and services that are publicly owned and not the property of this company.

No material published on this website may be reproduced, copied, or published without the written consent of Mosaic Factor S.L.

All information received on the website, such as comments, suggestions, or ideas, will be considered assigned to Mosaic Factor S.L. free of charge. Information that cannot be treated in this way should not be sent.

All products and services on these pages that are not owned by Mosaic Factor S.L. are registered trademarks of their respective owners and are recognized as such by our company. They only appear on Mosaic Factor S.L.’s website for promotion and information collection purposes. These owners may request modification or deletion of information belonging to them.

APPLICABLE LAW AND JURISDICTION

These general conditions are governed by Spanish law. For any dispute that may arise related to the website or the activity carried out on it, the Courts of Barcelona shall have jurisdiction, and the user expressly waives any other jurisdiction that may apply.

COOKIE POLICY

Mosaic Factor S.L., either on its own or through a third party contracted to provide measurement services, may use cookies when a user navigates the website. Cookies are files sent to the browser via a web server to record the user’s activities during their browsing time.

The cookies used are only associated with an anonymous user and their computer and do not provide the user’s personal data.

By using cookies, the server hosting the website can recognize the web browser used by the user to make browsing simpler. Cookies are also used to measure audience and traffic parameters and control the entry process and the number of entries.

Users have the option to configure their browser to be notified of the receipt of cookies and to prevent their installation on their device. Please consult your browser’s instructions and manuals for further information.

To use the website, it is not necessary for the user to allow the installation of cookies sent to the website or by the third party acting on its behalf, although it may be necessary for the user to log in to each service that requires prior registration.

In any case, cookies are temporary and solely for the purpose of making transmission more efficient. Under no circumstances will cookies be used to collect personal information.