Name: STX Next
Address: 38 Mostowa Street, Poznań, Poland, 61-854, PL
Telephone: 0048512914236
Price range: $50 - $99
Rating: 4.7

AI and Data Solutions built on Python heritage

STX Next is Europe’s largest Python-focused digital engineering partner, specializing in Data, AI, and Cloud solutions that help organizations unlock business value from their data.

With delivery centers in Poland and Mexico, we combine deep technical expertise with a flexible nearshore model trusted by clients across Industrials, Financial Services, Technology, Energy & Utilities, and Healthcare.

Min project size
$50,000+
Hourly rate
$50 - $99 / hr
Employees
250 - 999
Locations
Poznań, Poland
Year founded
Founded 2005
Languages
Timezones

No have been added yet...

Pricing Snapshot

Min. project size $50,000+

Avg. hourly rate $50 - $99 /hr

Rating for cost 4.4 /5

What Clients Have Said

STX Next offers competitive pricing and strong value for cost, with project investments ranging from $15,000 to over $1 million. Clients appreciate their flexibility, communication, and expertise, especially in Python development. Overall, they are seen as a reliable partner delivering quality results.

This summary is based on verified Clutch reviews.

Most Common Project Size

$50,000 - $199,999 based on 61 reviews

< $49,999 $50,000 - $199,999 $200,000 - $999,999 > $1,000,000

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STX Next Review Insights

Overall Review Rating

4.7

Quality 4.7
Schedule 4.5
Cost 4.4
Willing to Refer 4.8

Top Mentions

Review Highlights

Dependability and Meeting Deadlines

Clients commend STX Next for their reliability and ability to meet project deadlines. Their consistent delivery of projects on time and within scope reinforces their dependability as a development partner.
Flexible and Scalable Team Resources

STX Next is noted for their ability to quickly scale team resources to meet project demands. Their flexibility allows clients to adjust team size based on project needs, ensuring efficient use of resources and timely project delivery.
Challenges with Documentation and Onboarding

Some clients have noted challenges with documentation and onboarding processes, suggesting room for improvement in these areas. While STX Next addresses these issues when they arise, initial documentation could be more thorough to facilitate smoother project start-ups.
Strong Expertise in Python Development

STX Next is consistently praised for their strong expertise in Python development, making them a preferred partner for projects requiring this skill set. Their proficiency in Python, along with related frameworks like Django, enables them to deliver high-quality solutions and efficiently meet project requirements.
Proactive Problem Solving

Clients highlight STX Next’s proactive approach to problem-solving, with the team often suggesting improvements and alternatives to enhance project outcomes. This proactive stance is appreciated as it demonstrates a vested interest in the success of the client’s project.
Effective Use of Project Management Tools

The team effectively uses project management tools like Jira and Confluence to organize tasks and track progress, which clients find beneficial for maintaining transparency and accountability throughout the project lifecycle.

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STX Next Reviews

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Web Development
$10,000 to $49,999
Aug. 2018 - Aug. 2020

4.0

Quality: 4.0

Schedule: 4.0

Cost: 4.0

Willing to Refer: 4.0

"Their machine learning developer most impressed us."

Jul 11, 2019

Director, Data Analytics Firm

Anonymous

Information technology
London, England
1-10 Employees
Online Review
Verified

STX Next initially supported a platform migration to the latest versions of Python and Django and worked to reduce backend technical debt. They later aided in the development of a machine learning algorithm.

While initial deliverables exacerbated the platform's downtown, the second partnership resulted in a framework that supports advancement. STX Next provided video updates that added value to the engagement. To support successful collaboration, future clients should encourage direct communication.

This review was originally 2 stars overall. It was updated by the client on August 31, 2020.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

A data analytics based company, providing data analytics and insights in both a B2B and B2C manner.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire STX Next?

Technical debt work and devops

What were your goals for this project?

We hired STX Next to help without technical debt moving us to latest Python and Django versions and ultimately get our backend up to date for a migration to a react.js front end.

SOLUTION

How did you select this vendor?

We selected this vendor based on their reviews here on Clutch, so we thought we best give back to the community and provide our feedback.

Describe the project and the services they provided in detail.

Migrate from python 2.7- python 3. Migrate to latest version of Django. Reduce technical debt of all backend to enable us to focus on a react migration.

What was the team composition?

1 Backend developer, 2 Devops and a Project Manager

RESULTS & FEEDBACK

Can you share any information that demonstrates the impact that this project has had on your business?

Unfortunately, I am here to report that the project was not a resounding success. Costs ran away from us and we are still cleaning up a lot of issues after we ended their engagement with us.

How was project management arranged and how effective was it?

Project management was ad hoc at best. Multiple times I was asking their PM for updates with nothing back. Also, we were sold on a final terraforming project, which was not fit for our purpose.

What did you find most impressive about this company?

Their backend developer was very good, he worked tirelessly to fix the backend of the system. He was very accountable and responsive.

Are there any areas for improvement?

Communication, and properly qualifying project requirements before going down that route. As businesses, we do not want "yes men" we want to be challenged if a particular path is not correct or not fit for purpose.

The terraform project has had to be completely rewritten to be compatible with our react branch. We are still trying to eliminate daily downtime caused by STX next.

UPDATED REVIEW

BACKGROUND

Introduce your business and what you do there.

I’m the director of an analytics firm.

This review was updated by the client on August 31, 2020. The original star ratings were: Overall – 2, Quality – 2, Schedule – 2, Cost – 2, NPS - 2 New content is below:

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with STX Next?

We engaged STX Next to improve our Django backend, updating it, and removing all of the technical debt. We also engaged them in a data analytics project.

SOLUTION

What was the scope of their involvement?

For the first project, the goal was to remove technical debt and upgrade our platform to the newest extension of Platnum Django. After that project, their team came to the table again and engaged in a data analytics project for us. They helped to build essentially a machine learning algorithm.

What is the team composition?

I worked with three people from STX Next. It was a tight-knit team, which I preferred because it was a technical project. I worked with a delivery manager, a developer, and a data analytics teammate.

How did you come to work with STX Next?

I originally found them on Clutch.

How much have you invested with them?

At this point, we’re probably knocking on $50,000.

What is the status of this engagement?

We began our collaboration on the data analytics project in March 2020, and it’ll come to a close soon.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

STX Next came back to the table to rectify the relationship, and they’ve done a good job with the data analytics project. We’ve definitely seen improvements. Their team tried to grasp our technical problems and solve it in the best way possible. While it’s too early to provide quantitative metrics, their work’s promising. They set up a framework for our data analytics to improve and evolve going forward.

How did STX Next perform from a project management standpoint?

There was clear communication about their progress and availability. They sent routine emails, and we had meetings. As we worked across different time zones, they often recorded video presentations of their progress during which their team explained their decisions. Those videos were probably half an hour long and definitely a value add.

What did you find most impressive about them?

Their machine learning developer most impressed us. His grasp of the problem as well as his ability to effectively communicate his solutions to us was impressive. While it’s difficult, he managed to communicate highly technical ideas in completely understandable terms.

Are there any areas they could improve?

They could schedule more calls. We probably needed slightly more meetings to keep the project moving forward at the right pace.

Do you have any advice for potential customers?

Communication’s key to any engagement. Written emails may not be as effective as meetings, especially if you’re working across time zones. If you meet, it’s more efficient than 50 emails back and forth. It would be helpful to hold STX Next to a meeting schedule where you review their work.

RATINGS

4.0

Showing 101-101 of 101 Reviews

Our Story

STX Next was founded in 2005 and grew from a Python-driven software house into a global technology partner serving finance, technology, manufacturing, energy, adtech and healthcare companies.

As our services expanded to include AI and Machine Learning, Data Engineering, Cloud, and Product Design, so did our international reach. Today, with 500+ experts and 1,000+ projects delivered, we support clients across the US, UK, DACH, Poland and Benelux.

What Sets Us Apart

Excellence in AI/ML, Data, Cloud & Product Design

From AI/ML development and Data Engineering to Cloud platforms and Product Design, we deliver end-to-end solutions tailored to complex, regulated, and large-scale environments. Our focus is on reliability, performance, and measurable business outcomes.

Client-centric, Solution-driven in Every Project

At our core, we partner with you to understand your unique challenges and goals. By combining deep technical expertise with a focus on practical results, we deliver tailored solutions that drive growth, efficiency, and lasting impact.

Partnerships to Power Modern Solutions

As certified partners with AWS (Advanced Tier), Snowflake, Squirro, and n8n, STX Next combines deep expertise with leading platforms to deliver integrated and reliable solutions. Partnerships allow us to tackle complex challenges and support you with partner expertise and funding where applicable.

Quick Facts

21 years in business

Team Breakdown

Data Engineering (30)

Cloud (20)

Backend (100)

AI & Machine Learning (25)

Commonly Asked Questions

STX Next specializes in data engineering, cloud consulting, and AI solutions. The company supports organizations in building and operating data platforms, cloud environments, and AI systems used for analytics, automation, and decision support. Typical engagements include data lakehouse architectures, cloud consulting and migration (including sovereign cloud setups), AI and machine learning systems such as LLM-based solutions, RAG architectures, predictive maintenance, computer vision, and MLOps, as well as intelligent contact centers built on Amazon Connect.

STX Next works with organizations that face data complexity, compliance requirements, and operational scale, particularly in sectors where reliable data and AI systems are central to business outcomes. The company focuses on projects across financial services, industrial and manufacturing, technology, energy, and oil and gas services, where teams have delivered solutions like data lakehouses with Snowflake and Databricks, predictive maintenance systems, unified data platforms, and enterprise reporting transformations. Organizations with large data volumes, complex processing needs, or regulated operating environments often benefit from STX Next’s focus on stable, scalable, and maintainable solutions.

STX Next follows a delivery approach built around engineering excellence, clear ownership, and continuous feedback. Teams apply proven architectural practices, strong data and cloud standards, and automation across development, testing, and operations to identify and reduce risk early. This enables predictable delivery, frequent iteration, and long-term stability of data platforms and AI systems.

STX Next works as a technology partner, closely integrated with client teams. Engagements are typically structured around shared responsibility for architecture, delivery, and platform evolution, with STX Next engineers collaborating directly with internal stakeholders. This approach supports knowledge transfer, informed decision-making, and continuous improvement of data, cloud, and AI systems over time.

STX Next works closely with AWS, Snowflake, n8n, Squirro and Databricks as certified technology partners. These partnerships reflect hands-on experience delivering data, cloud, and AI solutions on these platforms and provide access to platform best practices, architectural guidance, and up-to-date tooling. For clients, this means solutions are designed in line with vendor-recommended patterns, are easier to scale and operate, and are better aligned with long-term platform roadmaps and compliance requirements.

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Verified Client Reviews: 97

Overall Review Rating: 4.7

Source: Clutch

Last Updated: February 3, 2026

Business Entity

Business Entity Name	STX Next Sp.z.o.o
Source	Central Statistical Office of Poland
Jurisdiction of Formation	Poland
Date of Formation	March 9, 2005
Status	Active
Last Updated	March 1, 2022
ID	300013306

Credit Report Results

International Credit Risk Assessment	Low Risk
Source	Creditsafe
Last Updated	January 1, 2022

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Locations (5)

38 Mostowa Street Poznań, Poland 61-854

401 - 500

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AI and Data Solutions built on Python heritage