Custom Machine learning solutions for your enterprise

We can design an end-to-end machine learning-solution. 

This service may include the following steps: 

• Feasibility analysis: We identify your needs and priorities and assess whether it is possible to design a technological solution that can meet them 
• Data collection: If necessary we will collect the data you need or we will assist you in collecting it 
• Data engineering: If necessary, we will design the databases and structure your data so that it is ready to be used in the project 
• Design of an MVP for the project: We will design a functional end-to-end software that will use the data to serve the functionalities selected during the feasibility analysis 
• Design of an algorithmic solution capable of learning: We will design the models necessary for the continuous improvement of functionalities 
• Integration of models into the software: We will apply the designed models to key areas of the software in order to dynamically adjust the processes carried out by the software 
• Software Deployment: Can be done right after completing the MVP. The software is deployed in the right environments and is available for use. 
• Support during the deployment and adoption of the software: As our solutions are intelligent, it is sometimes recommended to support you during the first weeks of adoption of the software, it is sometimes necessary to make adjustments to ensure your satisfaction and the sustainability of the solution. 

You may already have working software, but you want to make it intelligent, or you would like to design simulations to try to predict certain metrics or behaviours. This is why we offer to design individual models that can be integrated into your projects as you wish. 

This service may include the following steps: 

• Feasibility analysis: We identify your needs and priorities and assess whether it is possible to design a technological solution that can meet them 
• Data collection: If necessary we will collect the data you need or we will assist you in collecting it 
• Data engineering: If necessary, we will design the databases and structure your data so that it is ready to be used in the project 
• Design of an algorithmic solution capable of learning: We will design the models necessary for the continuous improvement of functionalities 
• Integration of models into the software: We will apply the designed models to key areas of the software in order to dynamically adjust the processes carried out by the software 
• Support during the deployment and adoption of the solution: As our solutions are intelligent, it is sometimes recommended to support you during the first weeks of adoption of the solution; it is sometimes necessary to make adjustments to ensure your satisfaction and the sustainability of the solution.

You may already have a data science team, or machine learning specialists, but lack the expertise to bridge the gap between your specialists and your software. In this case we will take charge of being this bridge. 

This service may include the following steps: 

• Feasibility analysis: We identify your needs and priorities and assess whether it is possible to design a technological solution that can meet them 
• Data collection: If necessary we will collect the data you need or we will assist you in collecting it 
• Data engineering: We will design the databases and structure your data so that it is ready to be used in the project 
• Integration of models into the software: We will apply the designed models to key areas of the software in order to dynamically adjust the processes carried out by the software 
• Support during the deployment and adoption of the solution: As our solutions are intelligent, it is sometimes recommended to support you during the first weeks of adoption of the solution; it is sometimes necessary to make adjustments to ensure your satisfaction and the sustainability of the solution.

You might want data from a variety of sources to enable your business analysts, data analysts, data scientists, developers, managers, etc. To be able to interpret various situations, construct analyzes or design technological solutions. In order to offer them all the resources necessary for their success, we offer data collection services. 

This service may include the following steps: 

• Feasibility analysis: We identify your needs and priorities and assess whether it is possible to design a technological solution that can meet them 
• Data collection: Collects the data you need

You may need to structure and expose data in order to make it available to your teams, which is why we offer data engineering services. 

This service may include the following steps: 

• Feasibility analysis: We identify your needs and priorities and assess whether it is possible to design a technological solution that can meet them 
• Data collection: If necessary we will collect the data you need or we will assist you in collecting it 
• Data engineering: We will design the databases and structure your data so that it is ready for use by your teams

Project feasibility assessment 

Sometimes you just want to know if a project is feasible. We can analyze your ideas and produce a report explaining how they might be feasible, explaining the risks associated with the project. 

This service may include the following steps: 

• Feasibility analysis: We identify your needs and priorities and assess whether it is possible to design a technological solution that can meet them

 You may want strategic rather than technical solutions. We offer strategic level support services in the integration of intelligent solutions into your business. This service is more dependent on the status of your company, the knowledge of your executives as well as the maturity of your teams. For more information, contact us