Machine Learning Services

Unlock new possibilities, boost productivity, and automate your business processes using machine learning solutions.

Regardless of what industry you operate in, our AI-based solutions can help you achieve higher levels of efficiency and keep ahead of your competition.

Examples of our projects
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Unlock new possibilities, boost productivity, and automate your business processes using machine learning solutions.

Regardless of what industry you operate in, our AI-based solutions can help you achieve higher levels of efficiency and keep ahead of your competition.

Krzysztof Sopyła, PhD
Head of Machine Learning and Data Engineering

Why choose
machine learning?

icon-machine-learning-1
Why choose machine learning?
Machine learning (ML) is becoming increasingly essential. The potential of machine learning is being realized by more and more companies, meaning those who don’t implement ML methods risk being left behind.

Tailor-made machine learning solutions developed by our in-house experts will help you reach your business goals. Whether through augmenting human creativity or reaching new levels of efficiency, machine learning promises to give your organization a boost.

You can optimize your business processes by applying natural language processingcomputer vision, or recommendation algorithms. We build specialist teams around these areas of expertise.

How our machine learning teams work

1

Focus on Skills

Highly skilled people are the key to our success. We help develop their skills in natural language processing, computer vision, recommender systems, and MLOps.

2

Multi-disciplinary Cooperation

Our ML experts work alongside product design teams, data engineers, Python developers, and DevOps. Synergy across specialist departments means we can deliver complete solutions.

3

Optimized Processes

We follow best practices based on our previous projects. Dedicated software tracks model training and quality which influences our future collaborations.

Our machine learning services

  • Natural Language Processing
  • Computer Vision
  • Recommender Systems
  • Machine Learning Operations

Natural language processing (NLP) lets you extract, organize, and understand information from written text. NLP solutions are especially useful when faced with information overload.

NLP can be used to improve text grammatically, automatically paraphrase, deliver smart replies, and translate content into multiple languages.

NLP techniques we apply include:

  • Question answering
  • Named entity recognition (NER)
  • Abstractive or extractive summarization
  • Sentiment analysis
  • Semantic similarity search

Modern deep learning methods allow you to understand the content’s overall context with amazing accuracy. The efficiency of searches in your system is improved when you can quickly match a phrase’s context, not just its literal use.

Our machine learning engineers build customized systems for the classification, detection, and location of objects on images or video. 

Image segmentation and analysis can be used to automatically monitor an environment; tracking the condition of power lines, pipelines, nature, pollution, etc. Based on a detailed analysis of the results, a solution can be built that quickly responds to the current conditions.

Visual searches can be integrated into your system to allow users to look up information based on images. The search function presents users with visually similar results. This can be used with a diverse range of images including clothing, furniture, machine parts, and even lost animals.

We build customized computer vision solutions using a range of techniques—from standard numerical methods to deep learning. Our models are deployed in the cloud or on a mobile device.

A good product recommender system can lead to happier customers and more sales. But, relying only on sales history doesn’t leverage your data’s full potential.

When creating recommender systems, our teams follow an in-depth analysis of product features, uses, and correlation with factors related to user characteristics. This allows you to build a better training set for data-learning algorithms which leads to more effective recommendations.

We use an experimental and results-based approach. Results are measurable based on sales results and user satisfaction. Our specialists can help you develop and improve the process by continuing to measure the quality of recommendations and adding relevant analytics.

Develop repeatable and reliable processes for your machine learning models.

We can help you automate training processes, implement standards, and support you with model monitoring and fine-tuning through:

  • Collection and transformation of data
  • Automatic quality assessment
  • Training or re-training of models
  • Evaluation of test sets 
  • Automatic implementation in production.

Continuous monitoring ensures the quality of the predictions served. In quickly changing environments, monitoring is essential to guarantee efficient results.

To ensure the well-organized monitoring of a model, it is important to optimize the network (through pruning, quantization, distillation model, etc.), choose the way of serving (GPU vs CPU), and develop a scaling methodology. Our ML Ops specialists will be there to offer continued support and maintenance help during deployment and beyond.

Natural Language Processing

Natural language processing (NLP) lets you extract, organize, and understand information from written text. NLP solutions are especially useful when faced with information overload.

NLP can be used to improve text grammatically, automatically paraphrase, deliver smart replies, and translate content into multiple languages.

NLP techniques we apply include:

  • Question answering
  • Named entity recognition (NER)
  • Abstractive or extractive summarization
  • Sentiment analysis
  • Semantic similarity search

Modern deep learning methods allow you to understand the content’s overall context with amazing accuracy. The efficiency of searches in your system is improved when you can quickly match a phrase’s context, not just its literal use.

Computer Vision

Our machine learning engineers build customized systems for the classification, detection, and location of objects on images or video. 

Image segmentation and analysis can be used to automatically monitor an environment; tracking the condition of power lines, pipelines, nature, pollution, etc. Based on a detailed analysis of the results, a solution can be built that quickly responds to the current conditions.

Visual searches can be integrated into your system to allow users to look up information based on images. The search function presents users with visually similar results. This can be used with a diverse range of images including clothing, furniture, machine parts, and even lost animals.

We build customized computer vision solutions using a range of techniques—from standard numerical methods to deep learning. Our models are deployed in the cloud or on a mobile device.

Recommender Systems

A good product recommender system can lead to happier customers and more sales. But, relying only on sales history doesn’t leverage your data’s full potential.

When creating recommender systems, our teams follow an in-depth analysis of product features, uses, and correlation with factors related to user characteristics. This allows you to build a better training set for data-learning algorithms which leads to more effective recommendations.

We use an experimental and results-based approach. Results are measurable based on sales results and user satisfaction. Our specialists can help you develop and improve the process by continuing to measure the quality of recommendations and adding relevant analytics.

Machine Learning Operations

Develop repeatable and reliable processes for your machine learning models.

We can help you automate training processes, implement standards, and support you with model monitoring and fine-tuning through:

  • Collection and transformation of data
  • Automatic quality assessment
  • Training or re-training of models
  • Evaluation of test sets 
  • Automatic implementation in production.

Continuous monitoring ensures the quality of the predictions served. In quickly changing environments, monitoring is essential to guarantee efficient results.

To ensure the well-organized monitoring of a model, it is important to optimize the network (through pruning, quantization, distillation model, etc.), choose the way of serving (GPU vs CPU), and develop a scaling methodology. Our ML Ops specialists will be there to offer continued support and maintenance help during deployment and beyond.

Machine learning solutions we provide

icon-4-1 Machine learning
consulting
icon-2-1 Built from scratch,
custom-made ML models
icon-3-1 Machine learning
model tuning
icon-4 (1) Alternative model
and approach tests
icon-5-1 Application of third-party
ML solutions
group-30 Integration with
cloud-based ML services
icon-7 (2) Review of the
state-of-the-art methods
icon-8-1 Automation
of ML processes
icon-9 (2) Proof of concept
for ML solutions
icon-10 (2) Data Discovery
Workshops

Cooperation models

icon-team-extension (3)

Team
Extension

We’ll provide you with a scalable, external team of qualified ML experts.

Our machine learning and data engineering experts can partner up with your existing team when you need to scale up your project.

icon-end-to-end-2

Project-Based
Cooperation

We’ll take care of the entire project for you, from development to deployment.

Implementing machine learning has never been so effortless. Our team will take charge of the product scope and the whole development process, building iterative prototypes and integrating the final ML solution into your existing infrastructure for you.

icon-consulting-expertise-2

Consulting &
Expertise

We’ll suggest the best ML solutions to unlock the value of data.

Following an in-depth analysis of your current capacities and business needs, we will provide you with guidelines on what machine learning model, application, and architecture can best help you achieve your business goals.

We are the largest Python software house in Europe

—and Python is the best-suited programming language for machine learning

Since 2005 we’ve been helping companies around the world find the right software talent for their projects. We specialize in machine learning services and can make sure you find the skills and knowledge that your product needs.

We’ve always placed a special emphasis on Python. Today, we have 450+ developers and are proud to say we’re the largest Python software house in Europe.

Due to its versatility, flexibility, and comprehensiveness, Python is the perfect fit for machine learning solutions.

The language's open-source and high-level nature as well as its numerous libraries provide the necessary tools for anyone working with the technology, whether it’s reinforcement, supervised, or unsupervised machine learning problems they’re dealing with.

schedule a consultation
Machine Learning services
No.1
Python & Django Developer and Global Leader

on the independent, obejctive B2B research platform Clutch.co with an average rating of 4.8 from over 50 client reviews

Outsourcing is a big leap for your software projects

On your path to greater velocity and flexibility, we’ve got you covered every step of the way.

Machine Learning - outsourcing
1

What if I want to keep some of the work in-house?

Smart move. By all means keep your existing team if it works for you. Your external team will simply complement what you’re already doing while bringing in a fresh perspective and greater scalability.

They’re embedded completely in our process to the point that there’s no difference between one of our in-house developers and one of theirs.
Junior Godoi
Software Engineering Manager, Scurri
2

What if I need to save my budget and cut development costs?

You can scale the team down or move development entirely back in-house.

Not only are they transparent and flexible, but they’ve been immensely helpful when we needed to scale up. When the time came to scale down, it was no problem, either.
Luka Gubo
CEO, Blocktrade AG
3

How will I know you’re a culture fit?

We’ve been on the market since 2005 and 99% of our clients are outside of Poland, so we have lots of experience cooperating across cultures.

STX Next has very energetic and sociable teams, and we get along well. After working extensively with their teams, we honestly see them as colleagues rather than suppliers. That’s a unique thing, and it has to do with the culture of STX—it’s something they should be proud of.
Greg Swimer & Jim Mellor
CTO / Product Director, Hogarth Worldwide
4

How can I be sure you’ll understand my project and what it needs?

You don’t want to just ship features; your software should help your business succeed in the market. That’s why we’ll begin our cooperation with a discovery process to understand what you’re building, for whom, and why.

They are willing to learn and understand our business. Instead of just coding to our specs, STX Next engages with us as a partner, wanting to understand, improve the code, and deliver better products.
Fintech Company, Austin, TX
Senior Engineering Manager
Examples of machine learning

projects we’ve delivered

enroly-machine-learning-project
Industry: Education

Enroly

Enroly provides the first CAS, visa, and arrival automation platform of its kind.

The company’s products are used in over 100 countries. They make post-acceptance administration simple and secure, allowing universities to easily implement the solutions into their existing systems.

Read the portfolio entry
dmass-machine-learning-project
Industry: Innovation

dMass

dMass connects industry to radically transformative innovation.

The company's platform serves as a hub where innovators, industry leaders, and investors collaborate to find innovative solutions that spur economic development and help the environment, while being profitable at the same time.

All of our case studies

During our 17+ years on the market, we have delivered 750+ projects for 300+ clients in several dozen industries, ranging from fintech and big data to education and advertising.

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What do we promise

if you partner with us?
A true partnership only works if both sides bring everything they’ve got to the table. Here’s what you can expect when you join forces with STX Next:
Outstanding, non-corporate atmosphere, team spirit, and great people to work with
Strong skills in unit testing and debugging
Deep awareness of the threading limitations of Python and multi-process architecture
Truly Agile working environment composed of small, independent teams working in Scrum with a flat organizational structure
Demonstrated experience in multiple Machine Learning frameworks, such as TensorFlow, XGBoost, scikit-learn and others; expertise in using code versioning tools, such as Git

Expert knowledge and understanding of machine learning techniques

Effortless English communication skills
Tried and tested use of best coding practices
photo-promise

What our clients say

C-level executives, product managers, tech leads, and founders from around the world have appreciated our help in delivering world-class products under strict deadlines.

The feedback we get from our clients is consistent. We take real ownership. We happily serve as mentors in tech and Agile. We listen to real business needs instead of just shipping features.

Featured in yahoo-finance-logo

STX Next have been working really well with my engineering team. They’re demonstrating great skill, craft, and agile thinking in the way they go about their work, and they’re great people to boot.

Kim Steglich
Director of Operations @ BuildFax

Working with STX Next felt like a strategic partnership rather than outsourcing. From consultation through to development and delivery, the STX Next team integrated seamlessly within our own team, in a challenging technical area, and delivered to the same standards we expect from our internal developers.

Michael Stone
Chief Technology Officer @ Enroly
Featured in logo-techcrunch-1

It was always a team that showed initiative, not just receiving instructions to deliver features but also asking why and what we were building so that it quickly became much more collaborative.

Mark McLaughlin
CEO @ Coras.io

We were able to scale up instantly, adding developers with the specific technical expertise that we needed and then rotating them out when the problem had been solved. At a much smaller firm that would have been very difficult. So far there hasn’t been any challenge that STX Next hasn’t been able to overcome.

Matthew Brooke-Hitching
CEO @ meet.mba
Featured in forbes

We met STX in the beginning of the latest cryptocurrency boom and their contribution was vital to us when managing that extraordinary demand. They quickly adapt to the company and domain, show true ownership by always acting proactively towards solution and deliver high quality work even under stressful conditions. STX is now one of the most essential partners of our business.

Çağatay Yüksel
Founder and CEO @ Koinim

They have a genuine interest in their client’s business environment. Their Scrum teams were more like an extension of our own team than an external entity. They don’t force a template on their client, focusing instead on delivering software in a way that compliments the client’s own process. Our work together resulted in award-winning products that we would not have otherwise delivered.

Owen Thornton
Software Development Manager @ BetBright
Acquired by png-transparent-apple-logo-business-iphone-apple-heart-computer-logo

Apart from their quality of work and timeliness, it was important for us to have clear communication. STX Next met this expectation very well.

Nitsan Avni
Mobile Development Lead @ RealFace
Featured in logo-techcrunch-1

The STX Next team has proven itself to be a solid and reliable partner in software development for the Tiqets platform. Although Tiqets’ main development team is located in the Amsterdam office, having dedicated development teams in Poland gives the company the flexibility it requires in the rapidly growing market that Tiqets operates in.

Sietse van der Laan
Tech Team Manager @ Tiqets

What other services
do we offer?

data-engineering

Data Eng.

SERVICES

DevOps

SERVICES

Python

DEVELOPMENT SERVICES

Tell us about your project

Speed up work on your software projects and outpace the competition.

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Matthew Harris

VP of Sales
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Marta Błażejewska

Director of Sales