N-iX
Lviv-headquartered engineering company with data and ML teams available for extension
What is N-iX?
N-iX began in Lviv in 2002 as Novellix, a startup building Linux applications for Novell, and is still headquartered there. The company reports more than 2,000 professionals across Ukrainian hubs and offices elsewhere in Europe and Latin America. Machine learning, data analytics and cloud sit among its main practices, and clients can extend their teams with N-iX engineers or hand over a full project. It is an employer-based firm, not a marketplace.
N-iX works primarily with clients in Financial services, Telecommunications, Retail & e-commerce, Manufacturing, Logistics sectors. Its primary differentiator is: Data engineering and ML from a 2,000-person European employer with two decades of delivery history.
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 teams; 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 |
|---|---|
| +Data-platform depth suits AI work that depends on messy enterprise data | -AI is part of a broad engineering catalog, so check each engineer's ML track record |
| +Large enough to staff multi-team programs from one vendor | -Ukrainian delivery may raise continuity questions in some procurement reviews |
| +European time zones overlap well with UK and EU clients | -Rates are not published |
N-iX vs alternatives
How N-iX compares to the other top AI Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| EPAM Systems | Large enterprises, regulated industries, multi-team AI programs. | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | 4.6 | Full comparison |
| Turing | Fast access to LLM and ML specialists from... | An AI-first network whose engineers also do model training and evaluation work for frontier labs | 4.5 | Full comparison |
| Tensorway | Product teams adding senior AI specialists without vendor... | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | 4.4 | Full comparison |
| BairesDev | U.S. companies needing several AI engineers on matching... | A large salaried Latin American bench that works U.S. time zones | 4.3 | Full comparison |
| deepsense.ai | Research-heavy ML problems, computer vision, edge AI. | A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench | 4.3 | Full comparison |
| Andela | Enterprises building blended global teams with AI skills. | A marketplace that certifies engineers on AI skills before placement | 4.2 | Full comparison |
| Toptal | Short engagements with one senior AI specialist. | A heavily screened freelance pool that can supply one senior expert quickly | 4.2 | Full comparison |
| Globant | Enterprises wanting AI capacity on a subscription model. | Subscription-based AI Pods as an alternative to per-engineer billing | 4.1 | Full comparison |
| Azumo | Nearshore LLM and NLP builds for U.S. mid-market. | A nearshore team that also builds its own NLP products | 4.1 | Full comparison |
| InData Labs | Mid-sized companies adding data scientists to product teams. | A data-science-only firm small enough that senior staff stay involved | 4.1 | Full comparison |
| Innowise | Companies needing AI engineers plus surrounding app developers. | A large in-house bench that can staff AI and conventional engineering roles together | 4.1 | Full comparison |
| Uvik Software | Python-heavy AI teams wanting transparent pricing. | Published rate band, minimum term and replacement guarantee | 4.0 | Full comparison |
| DataArt | Finance and healthcare firms extending data and AI... | Nearly three decades of domain work in finance, healthcare and travel | 4.0 | Full comparison |
| Encora | U.S. firms wanting nearshore AI teams from a... | Large Mexican and Latin American delivery base with an AI engineering practice | 4.0 | Full comparison |
| Wizeline | U.S. companies wanting Mexico-based AI engineers. | A Guadalajara delivery base close to U.S. clients in time and travel | 4.0 | Full comparison |
| Intellias | Automotive and location-tech teams adding ML engineers. | Domain depth in automotive and mapping software | 4.0 | Full comparison |
| Kanerika | Microsoft Fabric and Databricks shops needing AI-ready data. | Platform specialists for Fabric, Databricks and Snowflake | 3.9 | Full comparison |
| Nearsure | U.S. teams adding Latin American GenAI developers. | Augmentation-first business model with a growing AI studio | 3.9 | Full comparison |
| nCube | Companies building a long-term offshore AI team. | Builds and runs a client-branded R&D team, including HR and office setup | 3.9 | Full comparison |
| Svitla Systems | Long-running team extension with mixed AI and app... | Two decades of team-extension relationships with U.S. clients | 3.9 | Full comparison |
| STX Next | Python codebases adding LLM and data engineers. | Python specialization applied to data and AI delivery | 3.9 | Full comparison |
| Howdy.com | U.S. startups hiring full-time Latin American AI engineers. | Full-time, single-client placements with employment handled by Howdy | 3.9 | Full comparison |
| Revelo | Hiring Latin American developers through a marketplace. | A very large Latin American pool with payroll and compliance included | 3.8 | Full comparison |
| BEON.tech | U.S. teams wanting Argentina-based data and ML engineers. | Nearshore recruitment focused on AI and data science roles | 3.8 | Full comparison |
| Xenoss | AdTech and MarTech firms needing real-time data plus... | Real-time, high-load data engineering from AdTech roots | 3.8 | Full comparison |
| Simform | Cloud-first companies adding AI and data engineers. | Cloud and data engineering paired with AI/ML from an India-based bench | 3.8 | Full comparison |
| Vention | Venture-backed startups scaling product and AI engineers. | Long record of extending startup engineering teams | 3.8 | Full comparison |
| ScienceSoft | Regulated companies wanting a documented hiring process. | Publishes its staff augmentation timeline and process | 3.7 | Full comparison |
| Mobilunity | Budget-conscious teams hiring one dedicated developer. | Lowest published rate band among the companies reviewed | 3.7 | Full comparison |
| Neoteric | Small GenAI pilots with a low entry cost. | Low $10,000 minimum for AI discovery and proof-of-concept work | 3.7 | Full comparison |
| LeewayHertz | Hackett Group clients adding GenAI developers. | GenAI app development backed by a public consulting parent | 3.6 | Full comparison |
N-iX FAQ
What is N-iX?
Lviv-headquartered engineering company with data and ML teams available for extension
How much does N-iX charge?
N-iX uses time and materials; dedicated teams; 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, Spark, Databricks, Snowflake, AWS, Azure, TensorFlow, Kubernetes. Primary industries served include Financial services, Telecommunications, Retail & e-commerce, Manufacturing, Logistics.
Is N-iX right for enterprise?
Data-heavy AI work needing a large European team. 2,000+ team size. Key consideration: AI is part of a broad engineering catalog, so check each engineer's ML track record.
What are the best N-iX alternatives?
The best alternatives to N-iX depend on your use case. Top options are:
- EPAM Systems: thousands of certified genai engineers inside a publicly listed firm with enterprise security and procurement processes
- Turing: an ai-first network whose engineers also do model training and evaluation work for frontier labs
- Tensorway: senior ai engineers run the technical screening, and every model and line of code stays in the client's repositories
Compare N-iX with other AI Staff Augmentation companies
Verify all details directly with N-iX before making a decision.