Addepto vs N-iX: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of N-iX (4.0/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. N-iX is the stronger option for larger programmes needing an Eastern European team. 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 | 2,000+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | Large Central and Eastern European engineering bench with data-platform experience |
| Pricing model | $50–$99/hr (Clutch band); discovery workshops, then T&M | $50–$99/hr (Clutch band); dedicated teams and T&M |
| Min. engagement | $10,000+ (Clutch) | $100,000+ (Clutch) |
| Primary tech stack | Databricks, Snowflake, Azure OpenAI | Databricks, Snowflake, SAP |
| Industries served | Manufacturing, Retail & e-commerce, Aviation, Financial services | Manufacturing, Logistics, Financial services, Retail |
Addepto vs N-iX: overview
Addepto
Addepto is a Warsaw-based AI and data consultancy that started trading in April 2018 (some directories list 2017). Clutch shows 50–249 employees, a $50–$99 hourly band and a $10,000 minimum project. CB Insights reports that KMS Technology acquired the company in December 2025, after an earlier tie-up with Grape Up. Its work typically begins with data engineering and moves on to generative AI, MLOps and AI discovery workshops.
N-iX
N-iX is a software engineering services company founded in Lviv, Ukraine in 2002, now legally headquartered in Valletta, Malta, with more than 2,000 staff across Europe and the Americas. Clutch lists a $50–$99 hourly band and a $100,000 minimum project. Its AI services fall under a pragmatic AI engineering banner covering AI agents, AI consulting and implementation. Most of its delivery happens in Ukraine, Poland and other Central and Eastern European countries.
Services and capabilities: Addepto vs N-iX
| Capability | Addepto | N-iX |
|---|---|---|
| CRM / ERP integration | ✗ | ✓ |
| LLM API gateway & cost control | ✓ | ✗ |
| Document processing | ✗ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
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 | ✓ | ✓ |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| LangChain | ✓ | N/A |
| ServiceNow | 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 project, Time & materials | Time & materials, Dedicated team |
| 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 | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Aviation | Manufacturing, Logistics, Financial services |
| Best use cases | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. | Long-running data-platform programmes with AI features added later., Dedicated teams for manufacturing or logistics software. |
| Typical project type | Fixed project | Time & materials |
Addepto vs N-iX: pros and cons
| Addepto | |
|---|---|
| + | Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward |
| + | Databricks and Spark experience helps when the data estate is the real blocker |
| + | Discovery workshops scope use cases before larger spend |
| + | Predictive analytics and LLM work available from the same team |
| - | Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change |
| - | Corporate history includes several restructurings, which complicates long-term vendor planning |
| - | Limited published work inside CRM platforms |
| N-iX | |
|---|---|
| + | Can staff large teams quickly |
| + | Mid-range rates for European engineers |
| + | Data engineering experience supports AI projects |
| - | $100,000 Clutch minimum rules out small pilots |
| - | AI practice is newer than its core outsourcing business |
| - | Office and HQ details differ across directories |
Who should choose Addepto?
A typical fit: building a Databricks lakehouse that later feeds demand forecasts and an internal assistant.
Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services.
Who should choose N-iX?
A typical fit: long-running data-platform programmes with AI features added later.
Large Central and Eastern European engineering bench with data-platform experience. Minimum engagement starts at $100,000+ (Clutch). Works best with clients in Manufacturing, Logistics, Financial services, Retail.
Decision matrix: Addepto vs N-iX
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | N-iX |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Addepto |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | N-iX |
Use case fit: Addepto vs N-iX
| Use case | Addepto fit | N-iX fit | Winner |
|---|---|---|---|
| Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. | Strong | Limited | Addepto |
| Productionizing ML models with MLflow and monitoring. | Strong | Limited | Addepto |
| Long-running data-platform programmes with AI features added later. | Limited | Strong | N-iX |
| Dedicated teams for manufacturing or logistics software. | Limited | Strong | N-iX |
Verdict: Addepto vs N-iX
Addepto (4.3/5) is the stronger overall choice for most AI Integration projects. Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored.
N-iX (4.0/5) is worth a look if you need dedicated teams for manufacturing or logistics software. 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: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward. N-iX's strongest advantage: can staff large teams quickly.
How do Addepto and N-iX differ in pricing?
Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). N-iX pricing: $50–$99/hr (Clutch band); dedicated teams and T&M. Minimum engagement: $100,000+ (Clutch). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Addepto or N-iX?
Addepto is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Addepto and N-iX?
Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. N-iX's primary differentiator is: large Central and Eastern European engineering bench with data-platform experience. They also differ in team size (50–249 vs 2,000+), minimum engagement ($10,000+ (Clutch) vs $100,000+ (Clutch)), and primary industries served (Manufacturing, Retail & e-commerce vs Manufacturing, Logistics).
Verify all details directly with each company before making a decision.