Machine Learning

Machine Learning (ML) is a data analysis technology that allows systems to learn how to solve different problems. It is based on the idea that analytical systems can learn to recognize patterns and make decisions without human involvement.

Machine Learning is becoming one of the most popular technologies in the world bringing its capabilities to people’s work and lives. The ideas and prospects of Machine Learning we realize in Natural Language fields. We are going to show here how do we work with Machine Learning algorithms, which techniques we utilize, what kind of tasks we solve and tell you about our project. Let’s go!

Get started
Machine Learning Illustration

Machine Learning fields we work in

We can boast of 3+ years of hands-on experience in Machine Learning fields: NLP (Natural Language Processing) and NLU (Natural Language Understanding).

Tasks that we solve in our Machine Learning cases:

About open-source models that we utilize

Nowadays there a lot of powerful open-source Machine Learning libraries and models that are freely available on the market. We don’t hesitate to use them to improve our Machine Learning algorithms and NLU potential. Here are some of them:

Here you can check the more detailed article in which we described how to build a semantic search pipeline using open-source components and a little bit of coding (based on our project OneBar).


In addition to consulting services, we are all working on Onebar. OneBar is a search tool (based on Machine Learning) for teams that helps them boost productivity and promote knowledge sharing. It integrates with Slack and provides a seamless search experience through a convenient interface. Here we try to use and experiment with the most progressive features of Machine Learning in the field of NLP. Read more about OneBar via this link

Machine Learning has a really borderless potential for business, science, human lives, and humanity in general. For instance, we develop Slack bot development based on Machine Learning algorithms and the circle of our interests in ML is constantly growing.

Our development process

Clarify and set project requirements
Create a system design and UX/UI wireframes
Define and prioritize development tasks, create a backlog, prioritize all the tasks and provide estimates
Select the tasks from the top of the backlog for a 2-week sprint cycle
Deliver sprint results and iterate based on the feedback
Finally, deploy the project after all goals were met

Our projects


Web Development for a Telemedicine Service in Ophthalmology

Web Development for a Telemedicine Service in Ophthalmology

Charity Donation Platform Development

Charity Donation Platform Development

Web Development Services for a Music Tech Company

Web Development Services for a Music Tech Company
Show all

Other services we provide

Show all SErvices
Get in touch
We’re open to discussing your ideas. Please fill in the form, and we will get back to you within 24 hours.


Your message was successfully sent.
We will answer soon!
Oops! Something went wrong while submitting the form.

Kenny R. Lienhard

CTO, Medignition Inc

We wanted to implement a new education platform that offered online courses in finance. The scope focused on the implementation of multiple user interfaces. UpsilonIT used React, GraphQL, and GatsbyJS. UpsilonIT had strong coding skills. The app had a clean codebase and complied with all specifications. They complied with our requirements for the UI. We communicated daily via Slack.

Matt Wong

CTO, Civic Connect

Upsilon’s work was always on time and met all customer expectations. Their team had an ease of communication but what was the most impressive about them is the integrity and work ethic of each member. We had a business manager, a lead architect, and a mix of senior and regular engineers. The workflow was extremely effective - the teams had a regular cadence for communication.

Zhanar Serikpayeva

Creative Consultant, Etage Group

We needed help with mobile app development, data analytics, and beacon installation to be able to collect, store, and analyze our customer data. The finished application met the requirements perfectly, with the team finding an excellent solution to collect, analyze, and store customer data. They were highly professional throughout the work, always making themselves available, and responding well to any changes.

Dmitry Tsybin

Director of Engineering, Carggo

Upsilon provided front- and backend development for an online logistics platform. The team designed and launched a business intelligence platform and ensured scalability according to customer requirements. We were most impressed by the technical background of the specialists, their meaningful approach to task accomplishment, and aspiration to deliver the results in due time. We’re also pleased with how fast the team started the development.

Amazing companies who trust us: