ML and AI Development
Machine Learning is not only a tech buzzword. It’s widely applied to business, reducing costs or increasing customer satisfaction. ML algorithms can be used in applications across practically all sectors – from ecommerce to finance, healthcare to education, cybersecurity to charity.
For example, Netflix saves $1 billion each year thanks to a Machine Learning algorithm. It’s recommendation engine takes dozens of algorithms into account and compares users’ preferences with similar people from all the countries where Netflix's service is available. It allows the company to engage their subscribers with tailored content and improve their loyalty to the service.
And our team is the right option for such solutions in Data Engineering, Data Science, Natural Language Processing, Computer Vision and Audio Recognition fields.
Our development process is based on agile methodologies like Scrum. With regular project updates, live demos, and the best communication tools, we make sure that you’re up-to-date with everything.
We’re proud of our technology stack. Instead of covering every framework possible, we excel in technologies that are truly battle-tested. Check our stack.
Data management: we make sure that we have everything the model will need during training.
Model/experiment flow: we create a model capable of producing predictions.
Deployment: the model is connected to your application.
Every software house can provide you with frontend and backend development. But we do more than that! Our independent DevOps unit takes care of server architecture – making it stable, secure, and scalable.
We know that quality assurance is an important part of the development process. This is why, apart from manual tests, we perform automated ones – using our custom testing framework.
Our office is full of brilliant people. Among them are a lot of tech-addicted people who love their job and projects they are working on, not only the money they gain.