STX Next
Poznań Python consultancy that now leads with data and AI work
Founded 2005 | Poznań, Poland | 250–500 employees
llm-engineersdata-engineeringdedicated-teamseastern-europe-talent
What is STX Next?
STX Next was founded in Poznań in March 2005 and built its reputation as one of Europe's largest Python software houses. Its 2025 anniversary release cites about 500 staff and more than 1,000 delivered projects, with delivery centers in Poland and Mexico. The firm now presents itself as a data and AI consultancy, and Python's dominance in ML makes its bench a natural fit for model and data work.
STX Next works primarily with clients in Financial services, Software & SaaS, Media, Healthcare & life sciences sectors. Its primary differentiator is: Python specialization applied to data and AI delivery.
STX Next tech stack and services
PythonDjangoFastAPILangChainAWSDatabricks
| Service area |
|---|
| LLM Engineers |
| Data Engineering |
| Dedicated Teams |
| Eastern Europe Talent |
STX Next pricing
Short answer: STX Next uses a time and materials; dedicated teams; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Managed delivery | Variable; depends on team size | Large programmes or team augmentation |
STX Next does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
STX Next pros and cons
| Advantages | Things to consider |
|---|---|
| +Python depth fits most AI codebases | -AI positioning is recent compared with its Python history |
| +Delivery from both Poland and Mexico | -Polish rates are above Ukrainian and Latin American options |
| +Long history of extending client teams | -Fewer specialist roles such as computer vision |
STX Next vs alternatives
How STX Next compares to the other top AI Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| EPAM Systems | Large enterprises, regulated industries, multi-team AI programs. | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | 4.6 | Full comparison |
| Turing | Fast access to LLM and ML specialists from... | An AI-first network whose engineers also do model training and evaluation work for frontier labs | 4.5 | Full comparison |
| Tensorway | Product teams adding senior AI specialists without vendor... | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | 4.4 | Full comparison |
| BairesDev | U.S. companies needing several AI engineers on matching... | A large salaried Latin American bench that works U.S. time zones | 4.3 | Full comparison |
| deepsense.ai | Research-heavy ML problems, computer vision, edge AI. | A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench | 4.3 | Full comparison |
| N-iX | Data-heavy AI work needing a large European team. | Data engineering and ML from a 2,000-person European employer with two decades of delivery history | 4.2 | Full comparison |
| Andela | Enterprises building blended global teams with AI skills. | A marketplace that certifies engineers on AI skills before placement | 4.2 | Full comparison |
| Toptal | Short engagements with one senior AI specialist. | A heavily screened freelance pool that can supply one senior expert quickly | 4.2 | Full comparison |
| Globant | Enterprises wanting AI capacity on a subscription model. | Subscription-based AI Pods as an alternative to per-engineer billing | 4.1 | Full comparison |
| Azumo | Nearshore LLM and NLP builds for U.S. mid-market. | A nearshore team that also builds its own NLP products | 4.1 | Full comparison |
| InData Labs | Mid-sized companies adding data scientists to product teams. | A data-science-only firm small enough that senior staff stay involved | 4.1 | Full comparison |
| Innowise | Companies needing AI engineers plus surrounding app developers. | A large in-house bench that can staff AI and conventional engineering roles together | 4.1 | Full comparison |
| Uvik Software | Python-heavy AI teams wanting transparent pricing. | Published rate band, minimum term and replacement guarantee | 4.0 | Full comparison |
| DataArt | Finance and healthcare firms extending data and AI... | Nearly three decades of domain work in finance, healthcare and travel | 4.0 | Full comparison |
| Encora | U.S. firms wanting nearshore AI teams from a... | Large Mexican and Latin American delivery base with an AI engineering practice | 4.0 | Full comparison |
| Wizeline | U.S. companies wanting Mexico-based AI engineers. | A Guadalajara delivery base close to U.S. clients in time and travel | 4.0 | Full comparison |
| Intellias | Automotive and location-tech teams adding ML engineers. | Domain depth in automotive and mapping software | 4.0 | Full comparison |
| Kanerika | Microsoft Fabric and Databricks shops needing AI-ready data. | Platform specialists for Fabric, Databricks and Snowflake | 3.9 | Full comparison |
| Nearsure | U.S. teams adding Latin American GenAI developers. | Augmentation-first business model with a growing AI studio | 3.9 | Full comparison |
| nCube | Companies building a long-term offshore AI team. | Builds and runs a client-branded R&D team, including HR and office setup | 3.9 | Full comparison |
| Svitla Systems | Long-running team extension with mixed AI and app... | Two decades of team-extension relationships with U.S. clients | 3.9 | Full comparison |
| Howdy.com | U.S. startups hiring full-time Latin American AI engineers. | Full-time, single-client placements with employment handled by Howdy | 3.9 | Full comparison |
| Revelo | Hiring Latin American developers through a marketplace. | A very large Latin American pool with payroll and compliance included | 3.8 | Full comparison |
| BEON.tech | U.S. teams wanting Argentina-based data and ML engineers. | Nearshore recruitment focused on AI and data science roles | 3.8 | Full comparison |
| Xenoss | AdTech and MarTech firms needing real-time data plus... | Real-time, high-load data engineering from AdTech roots | 3.8 | Full comparison |
| Simform | Cloud-first companies adding AI and data engineers. | Cloud and data engineering paired with AI/ML from an India-based bench | 3.8 | Full comparison |
| Vention | Venture-backed startups scaling product and AI engineers. | Long record of extending startup engineering teams | 3.8 | Full comparison |
| ScienceSoft | Regulated companies wanting a documented hiring process. | Publishes its staff augmentation timeline and process | 3.7 | Full comparison |
| Mobilunity | Budget-conscious teams hiring one dedicated developer. | Lowest published rate band among the companies reviewed | 3.7 | Full comparison |
| Neoteric | Small GenAI pilots with a low entry cost. | Low $10,000 minimum for AI discovery and proof-of-concept work | 3.7 | Full comparison |
| LeewayHertz | Hackett Group clients adding GenAI developers. | GenAI app development backed by a public consulting parent | 3.6 | Full comparison |
STX Next FAQ
What is STX Next?
Poznań Python consultancy that now leads with data and AI work
How much does STX Next charge?
STX Next uses time and materials; dedicated teams; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does STX Next use?
STX Next works with Python, Django, FastAPI, LangChain, AWS, Databricks. Primary industries served include Financial services, Software & SaaS, Media, Healthcare & life sciences.
Is STX Next right for enterprise?
Python codebases adding LLM and data engineers. 250–500 team size. Key consideration: AI positioning is recent compared with its Python history.
What are the best STX Next alternatives?
The best alternatives to STX Next depend on your use case. Top options are:
- EPAM Systems: thousands of certified genai engineers inside a publicly listed firm with enterprise security and procurement processes
- Turing: an ai-first network whose engineers also do model training and evaluation work for frontier labs
- Tensorway: senior ai engineers run the technical screening, and every model and line of code stays in the client's repositories
Compare STX Next with other AI Staff Augmentation companies
STX Next vs EPAM Systems STX Next vs Turing STX Next vs Tensorway STX Next vs BairesDev STX Next vs deepsense.ai STX Next vs N-iX STX Next vs Andela STX Next vs Toptal STX Next vs Globant STX Next vs Azumo STX Next vs InData Labs STX Next vs Innowise STX Next vs Uvik Software STX Next vs DataArt STX Next vs Encora STX Next vs Wizeline STX Next vs Intellias STX Next vs Kanerika STX Next vs Nearsure STX Next vs nCube STX Next vs Svitla Systems STX Next vs Howdy.com STX Next vs Revelo STX Next vs BEON.tech STX Next vs Xenoss STX Next vs Simform STX Next vs Vention STX Next vs ScienceSoft STX Next vs Mobilunity STX Next vs Neoteric STX Next vs LeewayHertz
Verify all details directly with STX Next before making a decision.