Data Strategy

Data Exploration

Algorithm Design

Data Strategy

Data Exploration

Algorithm Design

Data Strategy


Exploring opportunities

You want to bring machine learning to your business. You believe it has a great potential for your organization. Now, you want to find a right solution.


Data strategy makes your ideas actionable. It’s all about identifying opportunities, and evaluating their potential. Together we will build the use cases relevant for you, and your customers.

Data strategy makes your ideas actionable. It’s all about identifying opportunities, and evaluating their potential. Together we will build the use cases relevant for you, and your customers.

Data Exploration


Validating your idea

You believe data science is the right way to solve your problem. You know what the algorithm should do. Now, you want to verify its feasibility.


Data exploration allows to (dis)prove your idea. It is a statistical analysis, investigating consistency and patterns in your data. All that to assess if it's possible to train a good model with your data.

Data exploration allows to (dis)prove your idea. It is a statistical analysis, investigating consistency and patterns in your data. All that to assess if it's possible to train a good model with your data.

Algorithm Design


Solving the problem

You gave it some thoughts and talked to the stakeholders. You defined the problem, and gathered the data. Now, you need to get the algorithm implemented.


Algorithm design is about finding an efficient way to solve the problem. It comes down to using the right data, choosing the right model and writing the right code.

Algorithm design is about finding an efficient way to solve the problem. It comes down to using the right data, choosing the right model and writing the right code.