RTS Labs vs Netguru: full comparison for 2026
Quick verdict
RTS Labs (4.1/5) edges ahead of Netguru (3.6/5) overall. RTS Labs is the better choice for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI. Netguru is the stronger option for digital product companies wanting a proven internal-agent case study translated into advisory work. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Netguru: head-to-head summary
| Criterion | RTS Labs | Netguru |
|---|---|---|
| Founded | 2010 | 2008 |
| HQ | Richmond, VA, USA | Poznań, Poland |
| Team size | 51-100 | 501-1000 |
| Rating | 4.1 / 5 | 3.6 / 5 |
| Best for | Enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI | Digital product companies wanting a proven internal-agent case study translated into advisory work |
| Pricing model | Fixed project, retainer | Dedicated team, retainer |
| Min. engagement | $25K | $25K |
| Primary tech stack | Azure, AWS, OpenAI | OpenAI, AWS, Node.js |
| Industries served | Manufacturing, Healthcare, Logistics | SaaS, Fintech, Retail |
RTS Labs vs Netguru: overview
RTS Labs
RTS Labs was founded in 2010 and is headquartered in Richmond, Virginia, with roughly 80-100 staff spread across North America, Asia, and Europe. The firm positions itself as a boutique enterprise AI consultancy focused on moving clients from pilot projects to measurable production ROI, with the architecture and guardrails advisory to support that transition.
Netguru
Netguru was founded in 2008 and is headquartered in Poznań, Poland, with 501-1,000 employees across offices including Warsaw, Kraków, Wrocław, Gdańsk, and Białystok. The company built Omega, an internal AI agent that automates tasks and guides sales reps through the sales process, and offers similar agent advisory and build services to enterprise and startup clients.
Services and capabilities: RTS Labs vs Netguru
| Capability | RTS Labs | Netguru |
|---|---|---|
| Enterprise automation | ✓ | ✗ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: RTS Labs vs Netguru
| Framework / platform | RTS Labs | Netguru |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: RTS Labs vs Netguru
| Criterion | RTS Labs | Netguru |
|---|---|---|
| Minimum engagement | $25K | $25K |
| Engagement models | Fixed project, Retainer | Dedicated team, Retainer, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Netguru
| Dimension | RTS Labs | Netguru |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, Logistics | SaaS, Fintech, Retail |
| Best use cases | Pilot-to-production advisory, Enterprise workflow automation strategy | Sales process automation advisory, Customer support agent strategy |
| Typical project type | Fixed project | Dedicated team |
RTS Labs vs Netguru: pros and cons
| RTS Labs | |
|---|---|
| + | 15+ years of enterprise consulting predating the current AI-agent wave |
| + | Explicit advisory focus on production guardrails, not just pilot demos |
| + | US-based HQ eases enterprise procurement and data-residency conversations |
| - | Mid-size team (~80-100) limits capacity for very large multi-workstream programs |
| - | Less agent-framework-specific public documentation than pure-play agent advisory firms |
| Netguru | |
|---|---|
| + | Internal production agent (Omega) demonstrates real operational agent use, not just advisory pitches |
| + | Established digital product consultancy since 2008 with strong startup/scaleup portfolio |
| + | Multiple Poland offices provide solid EU delivery coverage |
| - | Broader digital-product identity means AI agent advisory is one of several service lines |
| - | Internal agent case study (Omega) is sales-process-specific, less evidence in other advisory domains |
Who should choose RTS Labs?
RTS Labs is the right choice for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI.
Explicit pilot-to-production advisory focus with named architecture/guardrails methodology. Minimum engagement starts at $25K. Works best with clients in Manufacturing, Healthcare, Logistics.
Who should choose Netguru?
Netguru is the right choice for digital product companies wanting a proven internal-agent case study translated into advisory work.
Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, Retail.
Decision matrix: RTS Labs vs Netguru
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| You need a large dedicated team for an ongoing programme | Netguru |
| Your budget is at the lower end | RTS Labs |
| You need specialist depth in a specific vertical | RTS Labs |
| 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: RTS Labs vs Netguru
| Use case | RTS Labs fit | Netguru fit | Winner |
|---|---|---|---|
| Pilot-to-production advisory | Strong | Limited | RTS Labs |
| Enterprise workflow automation strategy | Strong | Limited | RTS Labs |
| Sales process automation advisory | Limited | Strong | Netguru |
| Customer support agent strategy | Limited | Strong | Netguru |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Netguru
RTS Labs (4.1/5) is the stronger overall choice for most AI Agent projects. Explicit pilot-to-production advisory focus with named architecture/guardrails methodology. It is best for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI.
Netguru (3.6/5) is the better choice when digital product companies wanting a proven internal-agent case study translated into advisory work. If your situation matches those criteria, Netguru is a competitive option.
Related comparisons
RTS Labs vs Netguru FAQ
Is RTS Labs better than Netguru?
RTS Labs (4.1/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI. Netguru is better for digital product companies wanting a proven internal-agent case study translated into advisory work.
How do RTS Labs and Netguru differ in pricing?
RTS Labs uses fixed project, retainer pricing with a minimum engagement of $25K. Netguru uses dedicated team, retainer pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: RTS Labs or Netguru?
Netguru is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between RTS Labs and Netguru?
RTS Labs's primary differentiator is: explicit pilot-to-production advisory focus with named architecture/guardrails methodology. Netguru's primary differentiator is: publicly documented internal production agent (omega) as proof of applied advisory-to-delivery capability. They also differ in team size (51-100 vs 501-1000), minimum engagement ($25K vs $25K), and primary industries served (Manufacturing, Healthcare vs SaaS, Fintech).