RTS Labs vs N-iX: full comparison for 2026
Quick verdict
RTS Labs (4.2/5) edges ahead of N-iX (4.0/5) overall. RTS Labs is the better choice for U.S. mid-market firms with stalled AI pilots. N-iX is the stronger option for larger programmes needing an Eastern European team. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs N-iX: head-to-head summary
| Criterion | RTS Labs | N-iX |
|---|---|---|
| Founded | 2010 | 2002 |
| HQ | Glen Allen, VA, USA | Valletta, Malta |
| Team size | 51–200 | 2,000+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | Large Central and Eastern European engineering bench with data-platform experience |
| Pricing model | Fixed-scope assessments and builds, then T&M; rates on request | $50–$99/hr (Clutch band); dedicated teams and T&M |
| Min. engagement | Not disclosed | $100,000+ (Clutch) |
| Primary tech stack | Salesforce, Snowflake, Azure OpenAI | Databricks, Snowflake, SAP |
| Industries served | Logistics, Financial services, Healthcare, Manufacturing | Manufacturing, Logistics, Financial services, Retail |
RTS Labs vs N-iX: overview
RTS Labs
RTS Labs is a U.S. software and data consultancy founded in 2010, headquartered in Glen Allen, Virginia, near Richmond. It began with custom software, Salesforce implementation and business intelligence, and now positions itself as an implementation partner that takes AI and data systems from pilot to production. It says it has more than 100 senior engineers and AI architects and deploys in 8–12 weeks (per company website; independently unverifiable). Third-party estimates put headcount at 51–100.
N-iX
N-iX is a software engineering services company founded in Lviv, Ukraine in 2002, now legally headquartered in Valletta, Malta, with more than 2,000 staff across Europe and the Americas. Clutch lists a $50–$99 hourly band and a $100,000 minimum project. Its AI services fall under a pragmatic AI engineering banner covering AI agents, AI consulting and implementation. Most of its delivery happens in Ukraine, Poland and other Central and Eastern European countries.
Services and capabilities: RTS Labs vs N-iX
| Capability | RTS Labs | N-iX |
|---|---|---|
| CRM / ERP integration | ✓ | ✓ |
| LLM API gateway & cost control | ✗ | ✗ |
| Document processing | ✗ | ✗ |
| Agentic workflows | ✓ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: RTS Labs vs N-iX
| Framework / platform | RTS Labs | N-iX |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | N/A | ✓ |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | ✓ |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| LangChain | N/A | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: RTS Labs vs N-iX
| Criterion | RTS Labs | N-iX |
|---|---|---|
| Minimum engagement | Not disclosed | $100,000+ (Clutch) |
| Engagement models | Fixed project, Time & materials | Time & materials, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: RTS Labs vs N-iX
| Dimension | RTS Labs | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Logistics, Financial services, Healthcare | Manufacturing, Logistics, Financial services |
| Best use cases | Connecting an AI agent to ERP order data for a logistics company., Rescuing a stalled proof of concept and putting it into production. | Long-running data-platform programmes with AI features added later., Dedicated teams for manufacturing or logistics software. |
| Typical project type | Fixed project | Time & materials |
RTS Labs vs N-iX: pros and cons
| RTS Labs | |
|---|---|
| + | Onshore U.S. delivery suits buyers who need data to stay with domestic staff |
| + | Salesforce implementation history helps when the CRM is part of the build |
| + | Explicit focus on production readiness, monitoring and fine-tuning after launch |
| + | Mid-market size keeps engagement minimums modest |
| - | Deployment-time and client-count claims are self-reported |
| - | Glassdoor employee reviews average about 3.0, which may point to retention issues |
| - | Smaller bench than national consultancies |
| N-iX | |
|---|---|
| + | Can staff large teams quickly |
| + | Mid-range rates for European engineers |
| + | Data engineering experience supports AI projects |
| - | $100,000 Clutch minimum rules out small pilots |
| - | AI practice is newer than its core outsourcing business |
| - | Office and HQ details differ across directories |
Who should choose RTS Labs?
A typical fit: connecting an AI agent to ERP order data for a logistics company.
Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Financial services, Healthcare, Manufacturing.
Who should choose N-iX?
A typical fit: long-running data-platform programmes with AI features added later.
Large Central and Eastern European engineering bench with data-platform experience. Minimum engagement starts at $100,000+ (Clutch). Works best with clients in Manufacturing, Logistics, Financial services, Retail.
Decision matrix: RTS Labs vs N-iX
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | Both |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: RTS Labs (Not disclosed) vs N-iX ($100,000+ (Clutch)) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | Both |
Use case fit: RTS Labs vs N-iX
| Use case | RTS Labs fit | N-iX fit | Winner |
|---|---|---|---|
| Connecting an AI agent to ERP order data for a logistics company. | Strong | Limited | RTS Labs |
| Rescuing a stalled proof of concept and putting it into production. | Strong | Limited | RTS Labs |
| Long-running data-platform programmes with AI features added later. | Limited | Strong | N-iX |
| Dedicated teams for manufacturing or logistics software. | Limited | Strong | N-iX |
Verdict: RTS Labs vs N-iX
RTS Labs (4.2/5) is the stronger overall choice for most AI Integration projects. Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections.
N-iX (4.0/5) is worth a look if you need dedicated teams for manufacturing or logistics software. If your situation matches that, N-iX is a competitive option.
Related comparisons
RTS Labs vs N-iX FAQ
Is RTS Labs better than N-iX?
RTS Labs (4.2/5) scores higher overall, but "better" depends on your use case. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff. N-iX's strongest advantage: can staff large teams quickly.
How do RTS Labs and N-iX differ in pricing?
RTS Labs pricing: Fixed-scope assessments and builds, then T&M; rates on request. N-iX pricing: $50–$99/hr (Clutch band); dedicated teams and T&M. Minimum engagement: $100,000+ (Clutch). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: RTS Labs or N-iX?
RTS Labs 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 RTS Labs and N-iX?
RTS Labs's primary differentiator is: onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. N-iX's primary differentiator is: large Central and Eastern European engineering bench with data-platform experience. They also differ in team size (51–200 vs 2,000+), minimum engagement (Not disclosed vs $100,000+ (Clutch)), and primary industries served (Logistics, Financial services vs Manufacturing, Logistics).
Verify all details directly with each company before making a decision.