We solvebusiness problems
We partner with you during the whole project cycle, always working together.
Building your next data science project
From inception to production, we help you along the whole life of the project.
If you have an idea for a project, we can make it come alive alongside your business team. Our experience allows us to make you avoid common pitfalls, mitigating risks, and getting value out of it as soon as possible.
We start small, by helping you define the scope of the project, and do the required work to validate the idea. And then, we build the actual solution and do everything necessary to be in production and integrated with your current services.
We are used to working in different scenarios: with your tech team, be it a BI team, a DS team, or even an ML team, or just with your business team. We value close collaboration with key stakeholders, since they are the experts in their field, and their input is most valuable.
You don't need to be already familiar with ML. We will guide you and your team through the different stages of the project, and by the end of it, you will have a good grasp of what an ML project consists of. Feel free to get in touch with us, and we can chat on how we can work together.
Identifying ML opportunities
Understanding where these techniques can excel and maximize their value.
Data Science techniques can be used to solve different problems, and when it's used correctly, it can generate a lot of value. But as with any new tool, its impact can be overblown, expecting it to be a silver bullet for every problem. If you're not an expert in the field, it's not easy to know when this is the case.
Working together to understand your processes and KPIs, what's possible and what isn't in your specific domain, we'll identify together what are the best automation and optimization opportunities. We can help you understand the value of your data and what it can be used for.
At Pento, we'll go out of our way to be transparent. We want you to be aware of every step we take in our exploration and how we're approaching the problem. We strive to make the stakeholders of the project fully understand whether Data Science is the right solution or not, and why.
Kick-starting your own ML team
Build your in-house team of Machine Learning experts.
Machine Learning, when properly applied, can become a centerpiece in your business processes. Therefore, depending on the situation, you might want to have people that can understand and manage what is being built in-house.
If you already have a technical team that you would like to train in ML, we can help you achieve this goal. We do workshops where we share our knowledge with your team, teaching what we consider to be best-practices and techniques to tackle ML projects successfully.
If you need to build a team from scratch, we can help you screen your candidates from a technical point of view, and onboard them to the project. Our goal is to deliver as much value as we can for your organization, and in some cases, it means to help you continue handling the projects internally.