Addepto vs N-iX: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of N-iX (3.9/5) overall. Addepto is the better choice for manufacturers connecting AI to engineering data. N-iX is the stronger option for enterprises connecting AI to SAP data. The right choice depends on your project size, budget, and required tech stack.
Addepto vs N-iX: head-to-head summary
| Criterion | Addepto | N-iX |
|---|---|---|
| Founded | 2018 | 2002 |
| HQ | Warsaw, Poland | Valletta, Malta |
| Team size | 50–249 | 2,400+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | Integration work with industrial systems such as SCADA, CAD, and PLM | SAP, Snowflake, and Palantir partnerships in one engineering firm |
| Pricing model | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) | Dedicated teams and time & materials; $50–$99/hr (Clutch band) |
| Min. engagement | $10,000+ (Clutch) | $100,000+ (Clutch) |
| Primary tech stack | Databricks, Azure OpenAI, Snowflake | SAP, Snowflake, Palantir |
| Industries served | Manufacturing, Energy, Logistics, Retail & e-commerce | Manufacturing, Logistics, Financial services, Telecom, Energy |
Addepto vs N-iX: 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.
N-iX
N-iX started in 2002 as Novellix, a product startup whose technology Novell bought, and was renamed N-iX at Novell's request. It now lists Valletta, Malta, as headquarters and employs more than 2,400 engineers across Europe, the Americas, and APAC, with Ukraine and Poland among its largest bases. Partners include AWS, Google Cloud, Microsoft, SAP, Snowflake, and Palantir. Its AI positioning, which it calls Pragmatic AI Software Engineering, focuses on measuring what AI tools deliver before scaling them, and Clutch lists a $100,000 project minimum.
Services and capabilities: Addepto vs N-iX
| Capability | Addepto | N-iX |
|---|---|---|
| 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 N-iX
| Framework / platform | Addepto | N-iX |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | 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 N-iX
| Criterion | Addepto | N-iX |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | $100,000+ (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 N-iX
| Dimension | Addepto | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Manufacturing, Energy, Logistics | Manufacturing, Logistics, Financial services |
| Best use cases | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history | AI features over SAP supply-chain data, Snowflake-based analytics for logistics |
| Typical project type | Fixed-scope project | Dedicated team |
Addepto vs N-iX: 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 |
| N-iX | |
|---|---|
| + | SAP and Snowflake partnerships suit AI over ERP and warehouse data. |
| + | Large Central and Eastern European bench at mid-band rates. |
| + | Measures AI tool impact before a wider rollout. |
| - | The $100K Clutch minimum is the highest published entry point here |
| - | Specific partner tiers aren't stated in the sources found |
| - | Headquarters listing differs between LinkedIn and other directories |
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 N-iX?
A typical fit: AI features over SAP supply-chain data.
SAP, Snowflake, and Palantir partnerships in one engineering firm. Minimum engagement starts at $100,000+ (Clutch). Works best with clients in Manufacturing, Logistics, Financial services, Telecom, Energy.
Decision matrix: Addepto vs N-iX
| 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 | N-iX |
| You need multi-step agents acting across systems | Neither lists agentic work |
| You need a large team for a multi-year program | N-iX |
Use case fit: Addepto vs N-iX
| Use case | Addepto fit | N-iX 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 |
| AI features over SAP supply-chain data | Limited | Strong | N-iX |
| Snowflake-based analytics for logistics | Limited | Strong | N-iX |
Verdict: Addepto vs N-iX
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.
N-iX (3.9/5) is worth a look if you need snowflake-based analytics for logistics. If your situation matches that, N-iX is a competitive option.
Related comparisons
Addepto vs N-iX FAQ
Is Addepto better than N-iX?
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. N-iX's strongest advantage: SAP and Snowflake partnerships suit AI over ERP and warehouse data.
How do Addepto and N-iX 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). N-iX's pricing: dedicated teams and time & materials; $50–$99/hr (Clutch band) with a minimum engagement of $100,000+ (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 N-iX?
N-iX 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 N-iX?
Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. N-iX's primary differentiator is: SAP, Snowflake, and Palantir partnerships in one engineering firm. They also differ in team size (50–249 vs 2,400+), minimum engagement ($10,000+ (Clutch) vs $100,000+ (Clutch)), and primary industries served (Manufacturing, Energy vs Manufacturing, Logistics).
Verify all details directly with each provider before making a decision.