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Machine Learning Services

Turn your data into profit

Consult your project with us
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The inevitable destination: customized and optimized business

Consumers no longer want sole goods or services; over and above, they wish for relevant and convenient experience. To keep customers happy and profit margins satisfying, companies have to optimize both their offerings and operations. Those who don’t follow, eventually get out of the game. But how do you take the right direction? The answer is: by harnessing your data.

The inevitable destination: customized and optimized business

Consumers no longer want sole goods or services; over and above, they wish for relevant and convenient experience. To keep customers happy and profit margins satisfying, companies have to optimize both their offerings and operations. Those who don’t follow, eventually get out of the game. But how do you take the right direction? The answer is: by harnessing your data.

The vehicle is right here

Machine learning models have the power to upgrade both your external and internal processes. First, your data is used to train prediction algorithms. Second, multi-dimensional optimization shows where your processes are not as effective as they could. Third, you receive the output in the form of actionable recommendations. Thus, your next business decisions can be science-based.

The vehicle is right here

Machine learning models have the power to upgrade both your external and internal processes. First, your data is used to train prediction algorithms. Second, multi-dimensional optimization shows where your processes are not as effective as they could. Third, you receive the output in the form of actionable recommendations. Thus, your next business decisions can be science-based.

Get there before the competition does

Machine learning is already taking customer service and operations optimization to new heights. Thus, ML brings huge profits to companies that adapted early. But eventually, such solutions will become a necessity to keep up: the global machine learning market is predicted to grow from $8.43 billion in 2019 to $117.19 billion by 2027.

Get there before the competition does

Machine learning is already taking customer service and operations optimization to new heights. Thus, ML brings huge profits to companies that adapted early. But eventually, such solutions will become a necessity to keep up: the global machine learning market is predicted to grow from $8.43 billion in 2019 to $117.19 billion by 2027.

Utilize machine learning with the right partner.

If you want to gain an advantage with machine learning, the time to act is now. But be careful to separate actual business potential from pure hype. Make sure to collaborate with a partner that will honestly evaluate your case and advise the best solutions, rather than the trendiest. Since the beginning of our company, 4soft’s top priority has been to translate business needs into helpful software.

Utilize machine learning with the right partner.

If you want to gain an advantage with machine learning, the time to act is now. But be careful to separate actual business potential from pure hype. Make sure to collaborate with a partner that will honestly evaluate your case and advise the best solutions, rather than the trendiest. Since the beginning of our company, 4soft’s top priority has been to translate business needs into helpful software.

4soft in numbers

100+

projects delivered

9 years

in business

75+

people onboard

9

product teams

Examples of machine learning projects we’ve completed

Training NLP models for Polish

Machine learning for decision making in medicine

Image recognition models

Translation models

Implementing chatbots

We adjust to your business structure

There are no two same companies, and we know that a thorough understanding of the client’s needs and blending well with their team is a crucial factor for the project’s success. No matter if you are a startup or on an enterprise level, we will listen up to your expectations, work style, and adjust accordingly.

Our machine learning tech stack includes

AWS

Docker

Python

Pytorch

DVC

MLflow

PyTorch Lightning

Streamlit

The disruption can’t happen with machine learning alone.

For full business optimization, machine learning has to come hand-in-hand with other technologies. We provide a wide spectrum of tech stack to support your project.

 

Our end-to-end services: learn more

Our team extension services: learn more 

We hold a 5.0 rating on Clutch

Read about machine learning, artificial intelligence, and more

Read our recent publications

Alphamoon & 4soft – How (and Why) AI and Blockchain Can Work Together

3 min

You might already have heard the recent news: we join forces with Alphamoon. There’s a number of reasons behind it, and the main one is the enormous business and technological opportunities created by this cooperation. Here’s a short note on how and why we’ve decided to work together.

Sun/Dec/2009
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What is Artificial Intelligence (AI), and where is it going?

17 min

More and more often, Ladies and Gentlemen, in your daily press releases, news websites, industry reviews, and market analyzes, you can find terms such as artificial intelligence (AI). Machine learning (ML), deep learning (DL), data research, data mining, and big data are all around them too.

Wed/Jan/2022
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​​What is the best programming language for AI?

7 min

The demand for artificial intelligence development is increasing, as solutions based on this technology have already revolutionized various sectors. If you’re planning to implement machine learning or deep learning in your project or searching for a way to get into the AI business, this article is for you. Check which languages work for AI development.

Tue/Feb/2022
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10 Common Software Architecture Patterns: Expert Guide

8 min

Did you know that before starting a software development project, an architect needs to pick the software architecture for it? This is a common best practice in the tech industry that allows teams to make the most out of the software and create a better experience for users.

Wed/Mar/2022
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