Machine Learning Services

AI that drives results, not just buzzwords

Looking to build smarter systems, unlock hidden value in your data, or automate what slows you down? We design Machine Learning solutions that solve real business problems – fast.

Trusted by 300+ companies worldwide, including industry leaders like:

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neuroflow logocanon logodecathlon logounity logomastercard logohogarth logoman group logoeuropean space agency logowayfair logogoogle logonoon logogsk logonestle purina logo
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AI-powered impact where it matters most

Forget vague promises. We build and deploy ML systems that deliver measurable business results from boosting customer engagement to cutting operational costs.

Whether you're just starting with AI or scaling your ML capabilities, we focus on solving real business problems, not academic exercises. Our solutions are built with your success metrics in mind.

At STX Next, we bridge the gap between data science and business value. That means explainable models, infrastructure that scales, and ongoing support to ensure your ML initiatives deliver impact not just once, but continuously.

Tell us about your ML development needs

Our machine learning experts can quickly join your team and start delivering secure, scalable solutions.

let's talk

Predictive Maintenance

Avoid downtime and surprise costs. Our models detect failure patterns early, helping you fix issues before they happen.

Computer Vision

Give your systems the power to see. We process and interpret visual data to solve problems in quality control, identity verification, and more.

Predictive Analytics

Know what’s coming next. We turn historical data into future-facing insights that help you make better, faster decisions.

MLOps & Automation

Get models from prototype to production, and keep them there. Our MLOps practices streamline deployment, testing, monitoring, and updates.

How we work

At STX Next, we combine Agile flexibility with solid engineering principles, ensuring transparency and collaboration throughout the process.

Discovery Calls

Interactive conversations aimed at carving out clear objectives. We actively involve you to pinpoint tech needs, challenge assumptions, and pick the right solutions.

Development & Prototyping

Focusing on robust design for scalability and security, we often build technical prototypes to test complex components early on.

Incremental Development with Sprints

Our Scrum-led teams practice incremental development focused on delivering real business value while adhering to quality standards.

Continuous Integration
& Delivery

Automated pipelines ensure consistent builds, thorough testing, and reliable deployment, boosting efficiency and lowering integration risks.

Proactive Quality Assurance

QA isn’t an afterthought; we integrate it from the get-go, covering performance tests, security checks, and compliance with best practices.

Smooth Deployment
& Handover

Transition seamlessly to your preferred platform with comprehensive documentation for ongoing success.

Tech stack for ML

We’re not just about listing tech names; we bring deep skills to choose and use the right tools:

Languages & Frameworks

Python (Django, Flask, FastAPI), Node.js (Express.js, NestJS), .NET, React, React Native,  Angular, Vue.js, TypeScript

Databases & Storage

PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Cassandra, SQL Server, S3, Data Lakes

Cloud & Infrastructure

AWS, Azure, GCP, Docker, Kubernetes, Terraform, Serverless Architectures

AI/ML & Data

TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Spark, Airflow, ML Ops platforms

APIs & Messaging

REST, GraphQL, gRPC, RabbitMQ, Kafka

DevOps & Quality

Jenkins, GitLab CI, GitHub Actions, Prometheus, Grafana, ELK Stack, Cypress, Selenium, Pytest, SonarQube

Why STX Next?

When complexity demands specialists, STX Next stands out among leading web development companies for your data engineering solutions:

Engineers, Not Just Developers

Our team of over 500 specialized engineers evolved from Python pioneers to AI & Data leaders. We solve the hard technical problems generalists shy away from.

Decades of Experience

Our 20+ years of experience and focus on architecture, testing, and security best practices significantly reduce the risk of project failure, technical debt, and costly mistakes.

Specialized Expertise

Need to unify fragmented data, ensure GDPR compliance, or support both BI and ML workloads? That's our sweet spot. We bring niche skills you can't easily hire or find in generalist firms.

Reliable Processes

Our mature, battle-tested processes ensure transparency and minimize surprises, delivering complex projects more reliably than less experienced teams.

Strategic Technical Partnership

We provide more than code; we offer proactive technical guidance, challenge assumptions constructively, and make sure the solution aligns with your long-term business goals.

Proven Problem Solvers

A track record of successfully untangling complex legacy systems, architecting for massive scale, and delivering innovative features others deemed impossible.

Industries we serve

At STX Next, we don’t believe in one-size-fits-all cloud setups. We tailor infrastructure to the operational realities, regulations, and speed of change unique to each industry.

Finance

We help financial institutions increase trust, reduce fraud, and uncover new value in their data. From real-time anomaly detection to smarter customer engagement, our solutions are designed with compliance and interpretability in mind.

Real-time fraud detection

Spot unusual transactions instantly using anomaly detection techniques.

Personalized product recommendations

Use customer behavior and risk profiles to suggest relevant financial offerings.

Credit risk scoring

Assess creditworthiness using interpretable, data-driven risk models.

READ MORE

eCommerce

We empower online retailers to optimize every customer touchpoint. Our ML tools help increase conversions, cut return rates, and make user experiences more personalized and data-driven.

Dynamic pricing & forecasting

Adjust prices and predict demand using real-time market data.

Visual search & recommendations

Help customers discover products through image-based search and AI-driven suggestions.

Churn prediction

Identify users likely to leave and trigger proactive retention strategies.

READ MORE

Healthcare

From diagnostics to operational optimization, we support healthcare organizations in delivering better outcomes, faster. Our solutions are built with security, ethics, and medical context in mind.

Medical image classification

Improve diagnostics with AI models trained on radiology and pathology images.

Readmission risk prediction

Flag high-risk patients early with predictive analytics.

Clinical NLP

Extract meaning from unstructured EHRs and physician notes.

READ MORE

Logistics

We streamline operations across the supply chain, enabling faster decisions, fewer delays, and lower costs. Our models are tuned to real-world variability, from traffic patterns to warehousing constraints.

Warehouse demand forecasting

Anticipate inventory needs to optimize operations.

ML-based route optimization

Plan faster, smarter routes using traffic and delivery data.

Fleet predictive maintenance

Reduce breakdowns by predicting vehicle failures before they happen.

READ MORE

Education

Our solutions bring scalable personalization to learning environments. We help educators, EdTech platforms, and institutions tailor content, automate evaluation, and understand learner behaviors at scale.

Adaptive learning systems

Adjust content and pace based on individual student performance.

Automated grading & feedback

Reduce teacher workload with AI-powered assessment tools.

Academic content summarization

Use NLP to create concise summaries of textbooks and lectures.

READ MORE

Marketing

We turn audience data into marketing action. Our ML solutions sharpen targeting, track sentiment in real time, and help you prioritize leads based on real conversion signals.

Customer segmentation

Group audiences by behavior, interest, or intent to fine-tune messaging.

Sentiment analysis

Gauge public opinion from reviews, social media, and survey data.

Predictive lead scoring

Prioritize the most promising leads using historical conversion data.

READ MORE

Finance

We help financial institutions increase trust, reduce fraud, and uncover new value in their data. From real-time anomaly detection to smarter customer engagement, our solutions are designed with compliance and interpretability in mind.

Real-time fraud detection

Spot unusual transactions instantly using anomaly detection techniques.

Personalized product recommendations

Use customer behavior and risk profiles to suggest relevant financial offerings.

Credit risk scoring

Assess creditworthiness using interpretable, data-driven risk models.

eCommerce

We empower online retailers to optimize every customer touchpoint. Our ML tools help increase conversions, cut return rates, and make user experiences more personalized and data-driven.

Dynamic pricing & forecasting

Adjust prices and predict demand using real-time market data.

Visual search & recommendations

Help customers discover products through image-based search and AI-driven suggestions.

Churn prediction

Identify users likely to leave and trigger proactive retention strategies.

Healthcare

From diagnostics to operational optimization, we support healthcare organizations in delivering better outcomes, faster. Our solutions are built with security, ethics, and medical context in mind.

Medical image classification

Improve diagnostics with AI models trained on radiology and pathology images.

Readmission risk prediction

Flag high-risk patients early with predictive analytics.

Clinical NLP

Extract meaning from unstructured EHRs and physician notes.

Logistics

We streamline operations across the supply chain, enabling faster decisions, fewer delays, and lower costs. Our models are tuned to real-world variability, from traffic patterns to warehousing constraints.

Warehouse demand forecasting

Anticipate inventory needs to optimize operations.

ML-based route optimization

Plan faster, smarter routes using traffic and delivery data.

Fleet predictive maintenance

Reduce breakdowns by predicting vehicle failures before they happen.

Education

Our solutions bring scalable personalization to learning environments. We help educators, EdTech platforms, and institutions tailor content, automate evaluation, and understand learner behaviors at scale.

Adaptive learning systems

Adjust content and pace based on individual student performance.

Automated grading & feedback

Reduce teacher workload with AI-powered assessment tools.

Academic content summarization

Use NLP to create concise summaries of textbooks and lectures.

Marketing

We turn audience data into marketing action. Our ML solutions sharpen targeting, track sentiment in real time, and help you prioritize leads based on real conversion signals.

Customer segmentation

Group audiences by behavior, interest, or intent to fine-tune messaging.

Sentiment analysis

Gauge public opinion from reviews, social media, and survey data.

Predictive lead scoring

Prioritize the most promising leads using historical conversion data.

Some of the ML projects
we've delivered:

podimo logo

Transforming search with Machine Learning

Podimo, a Danish leader in the podcast and audiobook industry, sought to revolutionize their search functionality to better serve their diverse user base. With a focus on rewarding creators and providing a seamless listening experience, Podimo aimed to enhance the accuracy and relevance of the matches according to user preferences.

See full case study

Podcast and audiobook industry

Energizing operations with Predictive Maintenance

Our customer, a global leader in plastics, chemicals, and refining, needed a bespoke solution to enhance operational efficiency and streamline production. They aimed to improve data collection, processing, and analysis while implementing predictive maintenance, demand planning, and forecasting.

see full case study

Chemical Industry

Don’t just take our word for it:

5.0
STX Next displayed exemplary project management throughout our collaboration.
Project Manager
CloudCompli
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Verified by Clutch, Jan 17, 2024
5.0
STX Next has been a great partner in helping us reach our goals.
Chief Technology Officer
Real Estate Technology Company
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Verified by Clutch, Nov 8, 2024
5.0
I appreciate the flexibility with which they roll teammates on and off the project.
Chief Technology Officer
B Generous
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Verified by Clutch, Jan 12, 2023
5.0
They’re very inquisitive engineers, plugged in designers, and want to know your business in a genuine way.
Chief Operating Officer
Alpha Technology, Man Group
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Verified by Clutch, Jun 30, 2020

Meet your ML experts

Get ready to meet the talented individuals who make it all happen. Our team isn't just a group of skilled engineers – they're the people who turn your biggest challenges into great solutions.

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Bartłomiej Roszak
Head of AI

The go-to visionary for our AI direction, always keeping ethics and compliance in check. He leads the charge by turning AI into a vital tool for efficiency, innovation, and giving our clients that winning edge.

michal skibicki ai manager stx next photo
Michał Skibicki
AI Manager

Brings loads of experience to the table, all about crafting smart solutions to tackle tricky processes. Thanks to his knack for experimental techniques, he keeps his team pushing boundaries and leading the pack in AI advancements.

Let's talk

Schedule a chat with Bartłomiej and one of our senior engineers to discuss your ML development needs.

Bartłomiej Roszak
Head of AI
bartlomiej roszak photo

FAQ

Can you integrate ML into our existing product or platform?

Yes. We specialize in embedding machine learning solutions into existing systems with minimal disruption and a strong focus on production-readiness. Whether it's a web app, mobile app, or enterprise stack, we make ML fit your environment.

What does a typical ML engagement look like?

It starts with a discovery phase focused on your business needs and data availability, moves into rapid prototyping using the right machine learning tools, and evolves into full-scale deployment. We work in agile sprints and maintain clear KPIs throughout the learning process.

Do you handle both model development and deployment?

Absolutely. From data preprocessing and feature engineering to model training, deployment, and monitoring, we cover the full lifecycle. That includes supervised learning, unsupervised learning, and deep learning techniques, tailored to your use case.

Can you work with our in-house data science team?

Yes. We often collaborate with internal data scientists, bringing in our expertise in MLOps, scalable architecture, and model optimization. We support your machine learning projects with flexible engagement models.

How do you ensure model quality and reliability?

We integrate QA throughout from input data validation to continuous integration and drift monitoring. Our models are explainable, auditable, and built to work with real-world unstructured data, not just clean lab sets.

Do you support cloud-based ML platforms?

Of course. We regularly build and deploy ML solutions on Azure ML, AWS SageMaker, and Google Vertex AI. Our experience also includes hybrid and on-prem setups depending on your business requirements and data processing constraints.

What types of business problems can ML solve?

Our machine learning algorithms help companies identify patterns, automate tasks, and predict future outcomes. From demand forecasting and recommendation systems to anomaly detection, face recognition, and inventory management, we design custom solutions across multiple industries.

How do you approach real-world complexity and messy data?

We bring strong domain knowledge and a deep understanding of how to handle unstructured and noisy data points, including text, images, and logs. Whether it’s data from social media platforms, IoT sensors, or CRMs, we turn it into valuable insights that boost overall operational efficiency.