STX Next
Poznań Python company that augments client teams with data, ML and computer-vision engineers
What is STX Next?
STX Next was founded in 2005 in Poznań, Poland, and runs delivery centers in Poland and Mexico. It describes itself as Europe's largest Python-focused engineering partner for data, AI and cloud (per company website; independently unverifiable), and Clutch places it in the 250–999 employee band. A Clutch review covers a 2023–2024 staff-augmentation engagement for a real-estate technology client involving machine learning, computer vision and recommendation systems. Other reviews describe multi-year Python team extensions.
STX Next works primarily with clients in Real estate tech, Healthcare, Fintech, SaaS sectors. Its primary differentiator is: Large Python bench with documented ML staff-augmentation work.
STX Next tech stack and services
| Service area |
|---|
| ML Engineers |
| Computer Vision |
| Data Engineering |
| Dedicated Teams |
| Eastern Europe Talent |
STX Next pricing
Short answer: STX Next uses a time and materials; team extension; 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 pros and cons
| Advantages | Things to consider |
|---|---|
| +Python depth means ML and backend roles come from one bench | -AI is a practice within a broader Python services company |
| +Documented multi-year team extensions | -Largest-in-Europe positioning is the company's own claim |
| +Mexico center adds U.S. time-zone coverage | -No public rates |
STX Next vs alternatives
How STX Next compares to the other top AI Staffing agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Product teams adding AI engineers fast, two-week trial. | Engineer-led screening with a free replacement if a hire doesn't fit | 4.8 | Full comparison |
| deepsense.ai | Research-heavy ML problems, senior data scientists. | Research-grade data scientists available as embedded team members | 4.6 | Full comparison |
| BairesDev | U.S. companies needing several engineers in American time... | Largest employed LatAm engineering bench on this list | 4.5 | Full comparison |
| Azumo | Startups adding GenAI engineers on U.S. hours. | Nearshore staffing with a hiring focus on GenAI and agent roles | 4.5 | Full comparison |
| InData Labs | Data-science-heavy teams, AWS-based ML work. | Data scientists and data engineers from one AI-only company | 4.4 | Full comparison |
| MobiDev | Retail and fitness products, one AI engineer to... | Long AI product record in retail, hospitality and fitness | 4.4 | Full comparison |
| Uvik Software | Python-heavy AI products, quick shortlist. | Python-only bench with published entry-level rates | 4.4 | Full comparison |
| N-iX | Enterprises scaling data and ML teams in Europe. | Formal staff-augmentation model backed by a 2,400-person bench | 4.3 | Full comparison |
| BEON.tech | U.S. scale-ups hiring long-term LatAm AI engineers. | Senior-only LatAm placements with AWS Bedrock experience | 4.3 | Full comparison |
| Xenoss | Ad-tech and high-volume data teams. | Data engineers with ad-tech throughput experience | 4.3 | Full comparison |
| Svitla Systems | Companies wanting both Mexican and Polish delivery options. | Two decades of team augmentation across LatAm and Europe | 4.3 | Full comparison |
| Mobilunity | Budget-conscious teams hiring a dedicated AI developer. | Recruits each hire to your spec at one of the lower rate bands here | 4.2 | Full comparison |
| Vention | Startups and scale-ups wanting CVs within two days. | Fast CV turnaround with a free delivery manager | 4.2 | Full comparison |
| Neoteric | Product teams adding GenAI to an existing app. | Product-minded GenAI engineers with a low published minimum | 4.2 | Full comparison |
| 10Clouds | Banks, insurers and fintechs building AI features. | Financial-services AI focus with Claude partner status | 4.1 | Full comparison |
| Howdy.com | Teams that want transparent nearshore pricing. | Published 15% fee on top of the engineer's pay | 4.1 | Full comparison |
| Toptal | Short engagements with a senior freelance specialist. | Fast access to screened freelancers with a no-risk trial | 4.1 | Full comparison |
| Turing | Companies wanting LLM-savvy contractors from a large pool. | Talent cloud tied to frontier-lab LLM training work | 4.1 | Full comparison |
| Simform | Azure-based companies wanting a lower-cost dedicated AI team. | Azure-centered AI engineering at India delivery rates | 4.1 | Full comparison |
| Innowise | Enterprises needing many seats filled within days. | Claimed three-to-five-day placement from an employed bench | 4.1 | Full comparison |
| X-Team | Media and gaming teams adding long-term remote developers. | Developer-community model aimed at long placements | 4.0 | Full comparison |
| Netguru | Consumer brands adding AI to digital products. | Design and product talent alongside AI engineers | 4.0 | Full comparison |
| Intellias | Automotive and mobility companies, embedded AI. | Physical-AI and automotive engineering depth | 4.0 | Full comparison |
| ScienceSoft | Regulated industries hiring experienced data scientists. | Senior data scientists with a published hiring timeline | 4.0 | Full comparison |
| Andela | Distributed teams hiring vetted contractors worldwide. | Assessment tooling strengthened by the 2026 Woven acquisition | 4.0 | Full comparison |
| DataArt | Financial and travel firms needing long-lived dedicated teams. | Dedicated development centers with nearly 30 years of history | 4.0 | Full comparison |
| KORE1 | U.S. companies that want to hire AI engineers... | Direct-hire and contract-to-hire paths for AI roles | 3.9 | Full comparison |
| Revelo | Companies hiring LatAm developers without a local entity. | Payroll and compliance handled for LatAm hires | 3.9 | Full comparison |
| EPAM Systems | Global enterprises with large, compliance-heavy AI programs. | Scale, compliance maturity and vendor certifications | 3.9 | Full comparison |
| Globant | Enterprises open to outcome-priced AI delivery. | Token-subscription pricing in place of seat-based staffing | 3.9 | Full comparison |
| Itransition | Microsoft-stack enterprises adding AI to Dynamics or Power... | AI work tied to the Microsoft business-application stack | 3.9 | Full comparison |
| LeewayHertz | Companies already using The Hackett Group or ZBrain. | GenAI developers tied to the ZBrain platform | 3.8 | Full comparison |
STX Next FAQ
What is STX Next?
Poznań Python company that augments client teams with data, ML and computer-vision engineers
How much does STX Next charge?
STX Next uses time and materials; team extension; 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, PyTorch, TensorFlow, AWS, Databricks. Primary industries served include Real estate tech, Healthcare, Fintech, SaaS.
Is STX Next right for enterprise?
Python product teams adding ML capacity. 250–999 team size. Key consideration: AI is a practice within a broader Python services company.
What are the best STX Next alternatives?
The best alternatives to STX Next depend on your use case. Top options are:
- Tensorway: engineer-led screening with a free replacement if a hire doesn't fit
- deepsense.ai: research-grade data scientists available as embedded team members
- BairesDev: largest employed latam engineering bench on this list
Compare STX Next with other AI Staffing agencies
Verify all details directly with STX Next before making a decision.