Addepto vs N-iX: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of N-iX (3.8/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. N-iX is the stronger option for enterprises wanting ML development bundled with broader cloud, data analytics, and digital transformation services at scale.. 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 | 50–100 | 1,001–5,000 |
| Rating | 4.3 / 5 | 3.8 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Enterprises wanting ML development bundled with broader cloud, data analytics, and digital transformation services at scale. |
| Pricing model | Project-based, consulting retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | AWS, Azure, Google Cloud |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | FinTech, Healthcare, Retail & E-commerce, Telecom, Manufacturing |
Addepto vs N-iX: overview
Addepto
Addepto was founded in Warsaw in 2018 by Data Science enthusiasts Edwin Lisowski and Artur Haponik, delivering AI consulting and data-driven solutions recognized by Forbes, Deloitte, and the Financial Times. In December 2025, Addepto was acquired by KMS Technology, and prospective clients should confirm how delivery teams, pricing, and leadership continuity have changed post-acquisition. Reported employee counts vary from roughly 11–50 to 72, reflecting the transition period around the acquisition.
N-iX
N-iX was founded in 2002 in Lviv, Ukraine and now lists its headquarters in Valletta, Malta, employing 1,001–5,000 people (reported as 2,400+ professionals) across Europe, the Americas, and APAC. The company offers machine learning development alongside custom software development, digital transformation, technology consulting, cloud services, and data analytics, and has been named a top global IT services company by Clutch for seven consecutive years. Its scale and multi-service breadth place it among the larger generalist engineering firms in this list, with ML as one of several core service lines.
Services and capabilities: Addepto vs N-iX
| Capability | Addepto | N-iX |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✓ |
Tech stack comparison: Addepto vs N-iX
| Framework / platform | Addepto | N-iX |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: Addepto vs N-iX
| Criterion | Addepto | N-iX |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | 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 | FinTech, Manufacturing, Retail & E-commerce | FinTech, Healthcare, Retail & E-commerce |
| Best use cases | Company wants an AI consultancy with independent press recognition for vendor due diligence., Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Enterprise wants ML development bundled with broader cloud and digital transformation services from one large vendor., Company needs an MLOps consulting partner with seven consecutive years of Clutch top-IT-services recognition. |
| Typical project type | Project-based | Dedicated team |
Addepto vs N-iX: pros and cons
| Addepto | |
|---|---|
| + | Press recognition from Forbes, Deloitte, and the Financial Times provides independent third-party validation beyond client testimonials. |
| + | Founder-led AI consulting model since 2018, prior to being acquired. |
| + | Now backed by KMS Technology's broader resources post-acquisition, which may add delivery capacity. |
| - | Acquired by KMS Technology in December 2025 — leadership continuity, pricing, and delivery-team stability during integration are unconfirmed. |
| - | Reported headcount varies significantly across sources (11–50 vs. 72), making current team size hard to pin down. |
| - | Recent acquisition means the company's standalone track record may not reflect how engagements are run going forward. |
| N-iX | |
|---|---|
| + | Named a top global IT services company by Clutch for seven consecutive years — one of the longest independent-recognition streaks in this list. |
| + | 1,001–5,000 employees (2,400+ professionals) across Europe, the Americas, and APAC provides substantial global delivery capacity. |
| + | 22+ years of operating history (since 2002) with continuity through the relocation of headquarters registration to Malta. |
| + | Publishes original ML/MLOps market research (e.g., its own top-companies and MLOps-consulting roundups), reflecting genuine practice depth. |
| - | Legal headquarters listed in Valletta, Malta while origin and much of delivery remains centered on Lviv, Ukraine — worth confirming contracting jurisdiction. |
| - | At 1,001–5,000 employees, ML is one of several core service lines (alongside cloud, data analytics, digital transformation) rather than the firm's sole focus. |
Who should choose Addepto?
Addepto is the right choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Retail & E-commerce.
Who should choose N-iX?
N-iX is the right choice for enterprises wanting ML development bundled with broader cloud, data analytics, and digital transformation services at scale..
Seven consecutive years of Clutch top global IT services company recognition, combined with dedicated ML and MLOps consulting content.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Telecom, Manufacturing.
Decision matrix: Addepto vs N-iX
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | N-iX |
| Your budget is at the lower end | Compare: Addepto (Not published) vs N-iX (Not published) |
| You need specialist depth in a specific vertical | N-iX |
| You need production MLOps support after model launch | N-iX |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs N-iX
| Use case | Addepto fit | N-iX fit | Winner |
|---|---|---|---|
| Company wants an AI consultancy with independent press recognition for vendor due diligence. | Strong | Strong | Both equally |
| Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Strong | Limited | Addepto |
| Enterprise wants ML development bundled with broader cloud and digital transformation services from one large vendor. | Limited | Strong | N-iX |
| Company needs an MLOps consulting partner with seven consecutive years of Clutch top-IT-services recognition. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs N-iX
Addepto (4.3/5) is the stronger overall choice for most Machine Learning Development projects. AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. It is best for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
N-iX (3.8/5) is the better choice when enterprises wanting ML development bundled with broader cloud, data analytics, and digital transformation services at scale.. If your situation matches those criteria, 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 is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. N-iX is better for enterprises wanting ML development bundled with broader cloud, data analytics, and digital transformation services at scale..
How do Addepto and N-iX differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. N-iX uses time & materials, dedicated team pricing with a minimum engagement of Not published. 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?
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 company before shortlisting.
What are the main differences between Addepto and N-iX?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. N-iX's primary differentiator is: seven consecutive years of clutch top global it services company recognition, combined with dedicated ml and mlops consulting content.. They also differ in team size (50–100 vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs FinTech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.