N-iX vs SoluLab: full comparison for 2026
Last updated: August 2026
Quick verdict
N-iX (3.9/5) edges ahead of SoluLab (3.8/5) overall. N-iX is the better choice for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. SoluLab is the stronger option for companies wanting agentic AI combined with blockchain or IoT integration under one vendor.. The right choice depends on your project size, budget, and required tech stack.
N-iX vs SoluLab: head-to-head summary
| Criterion | N-iX | SoluLab |
|---|---|---|
| Founded | 2002 | 2014 |
| HQ | Lviv, Ukraine | Los Angeles, CA, USA |
| Team size | 1,001–5,000 | 201–500 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program. | Companies wanting agentic AI combined with blockchain or IoT integration under one vendor. |
| Pricing model | Dedicated team, staff augmentation | Fixed project, dedicated team |
| Min. engagement | Not published | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, AWS | Python, LangChain, AWS |
| Industries served | Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS | Financial Services, Retail & E-commerce, Technology & SaaS, Healthcare |
N-iX vs SoluLab: overview
N-iX
N-iX is a software engineering services company founded in 2002, with headquarters reported as Lviv, Ukraine (also listing a Valletta, Malta corporate address), and more than 2,400 professionals across Europe, the Americas, and APAC. It delivers cloud, data analytics, embedded software, IoT, and AI/ML solutions at scale, with agentic AI positioned as an extension of its existing AI and machine learning practice rather than a standalone specialty. Its large, multi-service scale is an asset for enterprise programs but means agent work competes internally with many other active service lines for senior attention.
SoluLab
SoluLab is an IT services and consulting company founded in 2014, with headquarters reported in both the Los Angeles area and Ahmedabad, India, and roughly 200–250 employees. It specializes in blockchain development alongside AI, IoT, and mobile app development, with agentic AI positioned as one part of a broader emerging-technology practice. Buyers whose priority is agent-framework depth specifically should weigh SoluLab's multi-technology focus against more concentrated AI-only specialists.
Services and capabilities: N-iX vs SoluLab
| Capability | N-iX | SoluLab |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: N-iX vs SoluLab
| Framework / platform | N-iX | SoluLab |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: N-iX vs SoluLab
| Criterion | N-iX | SoluLab |
|---|---|---|
| Minimum engagement | Not published | $20K (per company website; independently unverifiable) |
| Engagement models | Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: N-iX vs SoluLab
| Dimension | N-iX | SoluLab |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Manufacturing, Retail & E-commerce | Financial Services, Retail & E-commerce, Technology & SaaS |
| Best use cases | Large enterprise programs combining cloud modernization, data platforms, and agentic AI, Multi-country delivery requiring a large available engineering bench | Agents that need to interact with blockchain or decentralized data sources, IoT-adjacent automation agents monitoring device or sensor data |
| Typical project type | Dedicated team | Fixed project |
N-iX vs SoluLab: pros and cons
| N-iX | |
|---|---|
| + | 2,400+ professionals gives substantial bench depth across Europe, the Americas, and APAC |
| + | Two decades of engineering services history (founded 2002) across multiple technology domains |
| + | Existing AI/ML practice gives agentic work a broader data-science foundation to draw on |
| + | Scale suits multi-country, multi-team enterprise programs that smaller boutiques can't staff |
| - | Agentic AI is one of many active service lines rather than the firm's core specialty |
| - | Headquarters location reported inconsistently across sources (Lviv vs. a Malta corporate address) |
| - | Large-organization scale can mean less senior-engineer access than boutique competitors |
| SoluLab | |
|---|---|
| + | Cross-disciplinary practice (blockchain, IoT, AI) suits agents needing to interact with non-traditional data sources |
| + | Dual US/India presence balances client proximity with offshore delivery cost |
| + | Ten years of operating history since 2014 |
| + | 200+ person team gives reasonable capacity beyond boutique-scale competitors |
| - | Agentic AI is one of several technology practices rather than the firm's core specialty |
| - | Headquarters location reported inconsistently across sources (Los Angeles vs. Ahmedabad) |
| - | Blockchain-heavy branding may read as a mismatch for buyers seeking a pure AI/agent specialist |
Who should choose N-iX?
N-iX is the right choice for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..
Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS.
Who should choose SoluLab?
SoluLab is the right choice for companies wanting agentic AI combined with blockchain or IoT integration under one vendor..
Cross-disciplinary practice spanning blockchain, IoT, and AI, useful for agents that need to interact with decentralized or device data.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Financial Services, Retail & E-commerce, Technology & SaaS, Healthcare.
Decision matrix: N-iX vs SoluLab
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | SoluLab |
| You need a large dedicated team for an ongoing programme | N-iX |
| Your budget is at the lower end | Compare: N-iX (Not published) vs SoluLab ($20K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | N-iX |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: N-iX vs SoluLab
| Use case | N-iX fit | SoluLab fit | Winner |
|---|---|---|---|
| Large enterprise programs combining cloud modernization, data platforms, and agentic AI | Strong | Limited | N-iX |
| Multi-country delivery requiring a large available engineering bench | Strong | Limited | N-iX |
| Agents that need to interact with blockchain or decentralized data sources | Strong | Strong | Both equally |
| IoT-adjacent automation agents monitoring device or sensor data | Limited | Strong | SoluLab |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: N-iX vs SoluLab
N-iX (3.9/5) is the stronger overall choice for most AI Agent Development projects. Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top.. It is best for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..
SoluLab (3.8/5) is the better choice when companies wanting agentic AI combined with blockchain or IoT integration under one vendor.. If your situation matches those criteria, SoluLab is a competitive option.
Related comparisons
N-iX vs SoluLab FAQ
Is N-iX better than SoluLab?
N-iX (3.9/5) scores higher overall, but "better" depends on your use case. N-iX is better for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. SoluLab is better for companies wanting agentic AI combined with blockchain or IoT integration under one vendor..
How do N-iX and SoluLab differ in pricing?
N-iX uses dedicated team, staff augmentation pricing with a minimum engagement of Not published. SoluLab uses fixed project, dedicated team pricing with a minimum engagement of $20K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: N-iX or SoluLab?
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 N-iX and SoluLab?
N-iX's primary differentiator is: scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with ai/agent work layered on top.. SoluLab's primary differentiator is: cross-disciplinary practice spanning blockchain, iot, and ai, useful for agents that need to interact with decentralized or device data.. They also differ in team size (1,001–5,000 vs 201–500), minimum engagement (Not published vs $20K (per company website; independently unverifiable)), and primary industries served (Financial Services, Manufacturing vs Financial Services, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.