STX Next
Poznań Python company that now does most of its Clutch-listed work in AI
Founded 2005 | Poznań, Poland | 250–999 employees
llm-api-integrationdata-platform-integrationagentic-ai
What is STX Next?
STX Next was founded in 2005 in Poznań and grew into one of Europe's largest Python engineering firms, with 250–999 staff according to Clutch. Clutch puts about 60% of its listed work in AI development and another 15% in generative AI, and it lists a 4.7 rating from 101 reviews as of July 2026. Python-first teams are a natural match because the integration code fits their existing stack. Clutch shows a $50–$99 hourly band and a $50,000 minimum.
STX Next works primarily with clients in Financial services, Energy, Manufacturing, Healthcare, SaaS sectors. Its primary differentiator is: Python engineering depth applied to AI and data work.
STX Next tech stack and services
PythonDatabricksSnowflakeLangChainAWS BedrockAzure OpenAI
| Service area |
|---|
| LLM API Integration |
| Data Platform Integration |
| Agentic AI |
STX Next pricing
Short answer: STX Next prices its work as follows: time & materials and dedicated teams; $50–$99/hr (Clutch band). Minimum engagement starts at $50,000+ (Clutch).
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Monthly team rate; not public | Continuing the build after a pilot |
| Time & materials | Hourly; see pricing model above | Scope that will change as you learn |
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 is the language of most AI tooling, and it's the firm's core skill. | -The $50K Clutch minimum is high for a first experiment |
| +101 Clutch reviews give a broad base of client feedback. | -No CRM or ERP partner credentials |
| +Reviewers frequently mention responsiveness and on-time delivery. | -Some reviews mention weaker documentation and onboarding |
STX Next vs alternatives
How STX Next compares to the other top AI Integration Services providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Buyers who want a priced pilot before a... | Fixed-price audit and pilot, with the per-request API cost modeled before rollout | 4.8 | Full comparison |
| Provectus | AWS-centric companies adding generative AI. | AWS Premier Tier status with a gen-AI practice built around Bedrock | 4.6 | Full comparison |
| Slalom | Mid-size and large firms on several platforms at... | Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm | 4.5 | Full comparison |
| Neurons Lab | Banks and insurers piloting AI agents. | AWS Generative AI competency combined with a financial-services client base | 4.5 | Full comparison |
| deepsense.ai | Teams needing RAG and evaluation done properly. | Evaluation frameworks that test model output before it reaches users | 4.5 | Full comparison |
| RTS Labs | U.S. firms needing onshore-only delivery. | All-U.S. engineering team and early MCP integration work | 4.4 | Full comparison |
| Coastal Cloud | Salesforce customers rolling out Agentforce. | Summit-tier Salesforce practice concentrated on Agentforce and Data Cloud | 4.4 | Full comparison |
| Hitachi Solutions | Dynamics 365 shops adding Copilot. | A practice that works only on Microsoft technology, centered on Dynamics 365 | 4.4 | Full comparison |
| Datatonic | Companies whose data already lives in BigQuery. | Google Cloud focus with LLMOps tooling for monitored production models | 4.3 | Full comparison |
| Quantiphi | Large document-heavy programs on Google Cloud or AWS. | Partner-of-the-year history with both Google Cloud and AWS on AI work | 4.3 | Full comparison |
| Addepto | Manufacturers connecting AI to engineering data. | Integration work with industrial systems such as SCADA, CAD, and PLM | 4.3 | Full comparison |
| Master of Code Global | Support teams adding chat or voice agents. | Dedicated conversation designers working beside the engineers | 4.3 | Full comparison |
| Perficient | Mid-market Salesforce or Microsoft customers. | Agentforce capability expanded through the Kelley Austin acquisition | 4.2 | Full comparison |
| Avanade | Large Microsoft-standardized enterprises. | Microsoft-only scale, with Accenture as majority owner | 4.2 | Full comparison |
| Grid Dynamics | Retailers adding agentic commerce features. | Packaged agentic platforms (GAIN) sitting on top of custom engineering | 4.2 | Full comparison |
| Thoughtworks | Engineering-led teams with strict code standards. | Engineering practice reputation applied to AI-first delivery | 4.2 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade controls. | Risk, audit, and regulatory teams working next to the integrators | 4.1 | Full comparison |
| EPAM Systems | Enterprises with multi-year engineering budgets. | Engineering capacity across Europe, India, and the Americas for long AI programs | 4.1 | Full comparison |
| Globant | Buyers wanting subscription pricing on AI delivery. | AI Pods priced by output or consumption instead of hours | 4.1 | Full comparison |
| InData Labs | Smaller budgets, analytics and document AI. | Predictive analytics depth at mid-band European rates | 4.1 | Full comparison |
| Capgemini | Global firms outsourcing AI-run back-office processes. | Business-process outsourcing combined with agentic AI after the WNS deal | 4.0 | Full comparison |
| Persistent Systems | Cost-conscious enterprises with offshore teams. | Offshore engineering scale with its own gen-AI delivery platform | 4.0 | Full comparison |
| SoftServe | Document AI projects on Google Cloud. | Google Cloud Premier status with Document AI expertise | 4.0 | Full comparison |
| Azumo | U.S. startups wanting nearshore AI engineers. | Latin American engineers working U.S. hours | 4.0 | Full comparison |
| Miquido | Consumer apps adding AI features. | Product design and mobile skills around the AI work | 3.9 | Full comparison |
| Koombea | Product teams wanting fixed-scope AI sprints. | Story-point-scoped AI Pods in two-week cycles | 3.9 | Full comparison |
| ScienceSoft | Tight budgets needing a small first project. | Lowest published entry point on this list ($5K Clutch minimum) | 3.9 | Full comparison |
| Svitla Systems | Long-term AI team extension. | Dedicated teams split across Latin America and Eastern Europe | 3.9 | Full comparison |
| Coherent Solutions | Product companies needing steady engineering capacity. | Three decades of product engineering with a data and AI practice | 3.9 | Full comparison |
| N-iX | Enterprises connecting AI to SAP data. | SAP, Snowflake, and Palantir partnerships in one engineering firm | 3.9 | Full comparison |
| Vention | Funded startups needing AI developers fast. | Large developer pool for startup and scale-up teams | 3.8 | Full comparison |
| Itransition | Companies bundling AI with wider IT work. | AI/ML center of excellence within a wide IT services catalog | 3.8 | Full comparison |
| LeewayHertz | Buyers open to a platform-based build. | ZBrain platform for assembling enterprise AI apps | 3.8 | Full comparison |
STX Next FAQ
What is STX Next?
Poznań Python company that now does most of its Clutch-listed work in AI
How much does STX Next charge?
Pricing model: time & materials and dedicated teams; $50–$99/hr (Clutch band). Minimum engagement starts at $50,000+ (Clutch). A discovery call is required to get project-specific quotes.
What tech stack does STX Next use?
STX Next works with Python, Databricks, Snowflake, LangChain, AWS Bedrock, Azure OpenAI. Primary industries served include Financial services, Energy, Manufacturing, Healthcare, SaaS.
Is STX Next right for enterprise?
Best for: python-heavy product teams. Team size: 250–999. Key consideration: The $50K Clutch minimum is high for a first experiment.
What are the best STX Next alternatives?
The best alternatives to STX Next depend on your use case. Top options are:
- Tensorway: fixed-price audit and pilot, with the per-request API cost modeled before rollout
- Provectus: AWS Premier Tier status with a gen-AI practice built around Bedrock
- Slalom: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm
Compare STX Next with other AI Integration Services providers
STX Next vs Tensorway STX Next vs Provectus STX Next vs Slalom STX Next vs Neurons Lab STX Next vs deepsense.ai STX Next vs RTS Labs STX Next vs Coastal Cloud STX Next vs Hitachi Solutions STX Next vs Datatonic STX Next vs Quantiphi STX Next vs Addepto STX Next vs Master of Code Global STX Next vs Perficient STX Next vs Avanade STX Next vs Grid Dynamics STX Next vs Thoughtworks STX Next vs Deloitte STX Next vs EPAM Systems STX Next vs Globant STX Next vs InData Labs STX Next vs Capgemini STX Next vs Persistent Systems STX Next vs SoftServe STX Next vs Azumo STX Next vs Miquido STX Next vs Koombea STX Next vs ScienceSoft STX Next vs Svitla Systems STX Next vs Coherent Solutions STX Next vs N-iX STX Next vs Vention STX Next vs Itransition STX Next vs LeewayHertz
Verify all details directly with STX Next before making a decision.