SoluLab vs N-iX: full comparison for 2026
Quick verdict
SoluLab (4.1/5) edges ahead of N-iX (3.8/5) overall. SoluLab is the better choice for companies wanting AI development, blockchain/Web3 fluency. N-iX is the stronger option for enterprises wanting ML bundled with cloud and analytics. The right choice depends on your project size, budget, and required tech stack.
SoluLab vs N-iX: head-to-head summary
| Criterion | SoluLab | N-iX |
|---|---|---|
| Founded | 2014 | 2002 |
| HQ | Woodland Hills, California, United States | Valletta, Malta |
| Team size | 246–250 | 1,001–5,000 |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Primary differentiator | Combines AI-native development with blockchain/Web3 expertise under one delivery team | Seven consecutive years of Clutch top global IT services company recognition, combined with dedicated ML and MLOps consulting content |
| Pricing model | Project-based, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | OpenAI API, LangChain, Python | AWS, Azure, Google Cloud |
| Industries served | Media & Entertainment, Automotive, Education, FinTech | FinTech, Healthcare, Retail & E-commerce, Telecom, Manufacturing |
SoluLab vs N-iX: overview
SoluLab
SoluLab was founded in 2014–2015 by Chintan Thakkar and Rajat Lala and is headquartered in Woodland Hills, California, with a team of roughly 246–250 engineers, data scientists, and AI specialists. The firm positions itself as an 'AI-native, Blockchain, and Web3' development company and reports having delivered 1,500+ projects across 15+ countries for clients including The Walt Disney Company, Mercedes-Benz, and the University of Cambridge (per company website; independently unverifiable at this scale). Its dual focus on AI and blockchain/Web3 makes it broader than a pure ML specialist.
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: SoluLab vs N-iX
| Capability | SoluLab | N-iX |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: SoluLab vs N-iX
| Framework / platform | SoluLab | N-iX |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: SoluLab vs N-iX
| Criterion | SoluLab | N-iX |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoluLab vs N-iX
| Dimension | SoluLab | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media & Entertainment, Automotive, Education | FinTech, Healthcare, Retail & E-commerce |
| Best use cases | Company building an AI product with a blockchain or Web3 component needs a single integrated vendor., Enterprise wants a vendor with named brand-name reference clients for procurement comfort. | 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 |
SoluLab vs N-iX: pros and cons
| SoluLab | |
|---|---|
| + | Named enterprise clients (The Walt Disney Company, Mercedes-Benz, University of Cambridge) offer verifiable reference points, though the specific scope of each engagement is unconfirmed. |
| + | 246–250 team size supports mid-to-large engagements without enterprise-firm overhead. |
| + | Combined AI and blockchain/Web3 capability is useful for clients building tokenized or decentralized AI products. |
| + | 10 years of company history (since 2014–2015) under continuous founder leadership. |
| - | 1,500+ projects claim across 15+ countries is difficult to independently verify at face value. |
| - | Blockchain/Web3 focus alongside AI means clients purely interested in ML may be paying for adjacent expertise they don't need. |
| 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 SoluLab?
A typical fit: company building an AI product with a blockchain or Web3 component needs a single integrated vendor.
Combines AI-native development with blockchain/Web3 expertise under one delivery team. Minimum engagement starts at Not published. Works best with clients in Media & Entertainment, Automotive, Education, FinTech.
Who should choose N-iX?
A typical fit: enterprise wants ML development bundled with broader cloud and digital transformation services from one large vendor.
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: SoluLab 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 | SoluLab |
| Your budget is at the lower end | Compare: SoluLab (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 | N-iX |
Use case fit: SoluLab vs N-iX
| Use case | SoluLab fit | N-iX fit | Winner |
|---|---|---|---|
| Company building an AI product with a blockchain or Web3 component needs a single integrated vendor. | Strong | Strong | Both equally |
| Enterprise wants a vendor with named brand-name reference clients for procurement comfort. | Strong | Strong | Both equally |
| Enterprise wants ML development bundled with broader cloud and digital transformation services from one large vendor. | Strong | Strong | Both equally |
| 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: SoluLab vs N-iX
SoluLab (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Combines AI-native development with blockchain/Web3 expertise under one delivery team.
N-iX (3.8/5) is worth a look if you need company needs an MLOps consulting partner with seven consecutive years of Clutch top-IT-services recognition. If your situation matches that, N-iX is a competitive option.
Related comparisons
SoluLab vs N-iX FAQ
Is SoluLab better than N-iX?
SoluLab (4.1/5) scores higher overall, but "better" depends on your use case. SoluLab's strongest advantage: named enterprise clients (The Walt Disney Company, Mercedes-Benz, University of Cambridge) offer verifiable reference points, though the specific scope of each engagement is unconfirmed. N-iX's strongest advantage: named a top global IT services company by Clutch for seven consecutive years — one of the longest independent-recognition streaks in this list.
How do SoluLab and N-iX differ in pricing?
SoluLab uses project-based, dedicated team 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: SoluLab 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 SoluLab and N-iX?
SoluLab's primary differentiator is: combines AI-native development with blockchain/Web3 expertise under one delivery team. 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 (246–250 vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs FinTech, Healthcare).