N-iX
Eastern European engineering company with staff augmentation as one of three formal cooperation models
What is N-iX?
N-iX started in Lviv, Ukraine, in 2002 and now reports about 2,400 professionals across more than 25 countries in Europe and the Americas. Staff augmentation sits alongside managed teams and full-solution delivery as one of its three cooperation models, and its AI and machine-learning practice is supported by data-engineering and cloud groups. Clutch reviewers describe it as quick to scale teams and good at integrating developers into existing groups. It serves more than 80 active enterprise clients according to a 2026 company overview.
N-iX works primarily with clients in Fintech, Manufacturing, Logistics, Healthcare, Telecom sectors. Its primary differentiator is: Formal staff-augmentation model backed by a 2,400-person bench.
N-iX tech stack and services
| Service area |
|---|
| ML Engineers |
| Data Engineering |
| MLOps |
| Dedicated Teams |
| Eastern Europe Talent |
N-iX pricing
Short answer: N-iX uses a time and materials; dedicated team; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Managed delivery | Variable; depends on team size | Large programmes or team augmentation |
N-iX pros and cons
| Advantages | Things to consider |
|---|---|
| +Large enough to staff data, ML and platform roles from one vendor | -AI is one practice inside a broad software company |
| +Staff augmentation is a defined product with its own process | -Enterprise sales process can be slow for a single-seat request |
| +Delivery hubs in several EU countries help with data-residency questions | -No public rates |
| +Long enterprise client history |
N-iX vs alternatives
How N-iX compares to the other top AI Staffing agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Product teams adding AI engineers fast, two-week trial. | Engineer-led screening with a free replacement if a hire doesn't fit | 4.8 | Full comparison |
| deepsense.ai | Research-heavy ML problems, senior data scientists. | Research-grade data scientists available as embedded team members | 4.6 | Full comparison |
| BairesDev | U.S. companies needing several engineers in American time... | Largest employed LatAm engineering bench on this list | 4.5 | Full comparison |
| Azumo | Startups adding GenAI engineers on U.S. hours. | Nearshore staffing with a hiring focus on GenAI and agent roles | 4.5 | Full comparison |
| InData Labs | Data-science-heavy teams, AWS-based ML work. | Data scientists and data engineers from one AI-only company | 4.4 | Full comparison |
| MobiDev | Retail and fitness products, one AI engineer to... | Long AI product record in retail, hospitality and fitness | 4.4 | Full comparison |
| Uvik Software | Python-heavy AI products, quick shortlist. | Python-only bench with published entry-level rates | 4.4 | Full comparison |
| BEON.tech | U.S. scale-ups hiring long-term LatAm AI engineers. | Senior-only LatAm placements with AWS Bedrock experience | 4.3 | Full comparison |
| Xenoss | Ad-tech and high-volume data teams. | Data engineers with ad-tech throughput experience | 4.3 | Full comparison |
| Svitla Systems | Companies wanting both Mexican and Polish delivery options. | Two decades of team augmentation across LatAm and Europe | 4.3 | Full comparison |
| Mobilunity | Budget-conscious teams hiring a dedicated AI developer. | Recruits each hire to your spec at one of the lower rate bands here | 4.2 | Full comparison |
| Vention | Startups and scale-ups wanting CVs within two days. | Fast CV turnaround with a free delivery manager | 4.2 | Full comparison |
| Neoteric | Product teams adding GenAI to an existing app. | Product-minded GenAI engineers with a low published minimum | 4.2 | Full comparison |
| STX Next | Python product teams adding ML capacity. | Large Python bench with documented ML staff-augmentation work | 4.2 | Full comparison |
| 10Clouds | Banks, insurers and fintechs building AI features. | Financial-services AI focus with Claude partner status | 4.1 | Full comparison |
| Howdy.com | Teams that want transparent nearshore pricing. | Published 15% fee on top of the engineer's pay | 4.1 | Full comparison |
| Toptal | Short engagements with a senior freelance specialist. | Fast access to screened freelancers with a no-risk trial | 4.1 | Full comparison |
| Turing | Companies wanting LLM-savvy contractors from a large pool. | Talent cloud tied to frontier-lab LLM training work | 4.1 | Full comparison |
| Simform | Azure-based companies wanting a lower-cost dedicated AI team. | Azure-centered AI engineering at India delivery rates | 4.1 | Full comparison |
| Innowise | Enterprises needing many seats filled within days. | Claimed three-to-five-day placement from an employed bench | 4.1 | Full comparison |
| X-Team | Media and gaming teams adding long-term remote developers. | Developer-community model aimed at long placements | 4.0 | Full comparison |
| Netguru | Consumer brands adding AI to digital products. | Design and product talent alongside AI engineers | 4.0 | Full comparison |
| Intellias | Automotive and mobility companies, embedded AI. | Physical-AI and automotive engineering depth | 4.0 | Full comparison |
| ScienceSoft | Regulated industries hiring experienced data scientists. | Senior data scientists with a published hiring timeline | 4.0 | Full comparison |
| Andela | Distributed teams hiring vetted contractors worldwide. | Assessment tooling strengthened by the 2026 Woven acquisition | 4.0 | Full comparison |
| DataArt | Financial and travel firms needing long-lived dedicated teams. | Dedicated development centers with nearly 30 years of history | 4.0 | Full comparison |
| KORE1 | U.S. companies that want to hire AI engineers... | Direct-hire and contract-to-hire paths for AI roles | 3.9 | Full comparison |
| Revelo | Companies hiring LatAm developers without a local entity. | Payroll and compliance handled for LatAm hires | 3.9 | Full comparison |
| EPAM Systems | Global enterprises with large, compliance-heavy AI programs. | Scale, compliance maturity and vendor certifications | 3.9 | Full comparison |
| Globant | Enterprises open to outcome-priced AI delivery. | Token-subscription pricing in place of seat-based staffing | 3.9 | Full comparison |
| Itransition | Microsoft-stack enterprises adding AI to Dynamics or Power... | AI work tied to the Microsoft business-application stack | 3.9 | Full comparison |
| LeewayHertz | Companies already using The Hackett Group or ZBrain. | GenAI developers tied to the ZBrain platform | 3.8 | Full comparison |
N-iX FAQ
What is N-iX?
Eastern European engineering company with staff augmentation as one of three formal cooperation models
How much does N-iX charge?
N-iX uses time and materials; dedicated team; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does N-iX use?
N-iX works with Python, Databricks, Apache Spark, Azure ML, AWS SageMaker, Kubernetes. Primary industries served include Fintech, Manufacturing, Logistics, Healthcare, Telecom.
Is N-iX right for enterprise?
Enterprises scaling data and ML teams in Europe. 2,000–2,500 team size. Key consideration: AI is one practice inside a broad software company.
What are the best N-iX alternatives?
The best alternatives to N-iX depend on your use case. Top options are:
- Tensorway: engineer-led screening with a free replacement if a hire doesn't fit
- deepsense.ai: research-grade data scientists available as embedded team members
- BairesDev: largest employed latam engineering bench on this list
Compare N-iX with other AI Staffing agencies
Verify all details directly with N-iX before making a decision.