Addepto vs STX Next: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of STX Next (4.0/5) overall. Addepto is the better choice for manufacturers connecting AI to engineering data. STX Next is the stronger option for python-heavy product teams. The right choice depends on your project size, budget, and required tech stack.
Addepto vs STX Next: head-to-head summary
| Criterion | Addepto | STX Next |
|---|---|---|
| Founded | 2018 | 2005 |
| HQ | Warsaw, Poland | Poznań, Poland |
| Team size | 50–249 | 250–999 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Integration work with industrial systems such as SCADA, CAD, and PLM | Python engineering depth applied to AI and data work |
| Pricing model | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) | Time & materials and dedicated teams; $50–$99/hr (Clutch band) |
| Min. engagement | $10,000+ (Clutch) | $50,000+ (Clutch) |
| Primary tech stack | Databricks, Azure OpenAI, Snowflake | Python, Databricks, Snowflake |
| Industries served | Manufacturing, Energy, Logistics, Retail & e-commerce | Financial services, Energy, Manufacturing, Healthcare, SaaS |
Addepto vs STX Next: overview
Addepto
Addepto was founded in Warsaw in 2018 and employs 50–100 people according to most directories (Clutch shows 50–249). KMS Technology acquired it in December 2025, and it continues as an independent subsidiary. Its focus is unusual. The integration work leans toward industrial and engineering data, connecting AI to supervisory control (SCADA), computer-aided design (CAD), and product lifecycle management (PLM) systems alongside more common document and analytics projects. Clutch lists a $10,000 minimum and a $50–$99 hourly band, one of the more accessible entry points on this list.
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.
Services and capabilities: Addepto vs STX Next
| Capability | Addepto | STX Next |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✓ | ✗ |
| Conversational AI | ✗ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
Tech stack comparison: Addepto vs STX Next
| Framework / platform | Addepto | STX Next |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Addepto vs STX Next
| Criterion | Addepto | STX Next |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | $50,000+ (Clutch) |
| Engagement models | Fixed-scope project, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs STX Next
| Dimension | Addepto | STX Next |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Energy, Logistics | Financial services, Energy, Manufacturing |
| Best use cases | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history | Extending a Python product team with LLM engineers, Data platform work for energy and fintech clients |
| Typical project type | Fixed-scope project | Dedicated team |
Addepto vs STX Next: pros and cons
| Addepto | |
|---|---|
| + | The $10K Clutch minimum lets small teams test an integration without a large commitment. |
| + | Experience with plant and engineering systems most AI vendors don't touch. |
| + | Clutch reviews average close to 4.9. |
| + | Data engineering and AI are scoped by the same team. |
| - | Acquired by KMS Technology in December 2025; long-term pricing and branding may change |
| - | Headcount varies a lot between directories |
| - | No managed-service offer for running systems after launch |
| STX Next | |
|---|---|
| + | Python is the language of most AI tooling, and it's the firm's core skill. |
| + | 101 Clutch reviews give a broad base of client feedback. |
| + | Reviewers frequently mention responsiveness and on-time delivery. |
| - | The $50K Clutch minimum is high for a first experiment |
| - | No CRM or ERP partner credentials |
| - | Some reviews mention weaker documentation and onboarding |
Who should choose Addepto?
A typical fit: search across CAD and PLM records with an LLM front end.
Integration work with industrial systems such as SCADA, CAD, and PLM. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Energy, Logistics, Retail & e-commerce.
Who should choose STX Next?
A typical fit: extending a Python product team with LLM engineers.
Python engineering depth applied to AI and data work. Minimum engagement starts at $50,000+ (Clutch). Works best with clients in Financial services, Energy, Manufacturing, Healthcare, SaaS.
Decision matrix: Addepto vs STX Next
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Neither; plan for your own team to run it |
| Your budget is at the lower end | Addepto |
| The AI has to read and write in your CRM or ERP | Check each profile; neither lists CRM or ERP work |
| You need multi-step agents acting across systems | STX Next |
| You need a large team for a multi-year program | STX Next |
Use case fit: Addepto vs STX Next
| Use case | Addepto fit | STX Next fit | Winner |
|---|---|---|---|
| Search across CAD and PLM records with an LLM front end | Strong | Limited | Addepto |
| Predictive maintenance from SCADA sensor history | Strong | Limited | Addepto |
| Extending a Python product team with LLM engineers | Limited | Strong | STX Next |
| Data platform work for energy and fintech clients | Limited | Strong | STX Next |
Verdict: Addepto vs STX Next
Addepto (4.3/5) is the stronger overall choice for most AI Integration Services projects. Integration work with industrial systems such as SCADA, CAD, and PLM.
STX Next (4.0/5) is worth a look if you need data platform work for energy and fintech clients. If your situation matches that, STX Next is a competitive option.
Related comparisons
Addepto vs STX Next FAQ
Is Addepto better than STX Next?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: the $10K Clutch minimum lets small teams test an integration without a large commitment. STX Next's strongest advantage: python is the language of most AI tooling, and it's the firm's core skill.
How do Addepto and STX Next differ in pricing?
Addepto's pricing: fixed-scope projects and time & materials; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). STX Next's pricing: time & materials and dedicated teams; $50–$99/hr (Clutch band) with a minimum engagement of $50,000+ (Clutch). Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Addepto or STX Next?
STX Next is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Addepto and STX Next?
Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. STX Next's primary differentiator is: python engineering depth applied to AI and data work. They also differ in team size (50–249 vs 250–999), minimum engagement ($10,000+ (Clutch) vs $50,000+ (Clutch)), and primary industries served (Manufacturing, Energy vs Financial services, Energy).
Verify all details directly with each provider before making a decision.