Azumo vs RTS Labs: full comparison for 2026
Last updated: June 2026
Quick verdict
Azumo (4.4/5) edges ahead of RTS Labs (4.3/5) overall. Azumo is the better choice for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance. RTS Labs is the stronger option for enterprise teams needing combined data strategy and AI agent development from a single delivery partner. The right choice depends on your project size, budget, and required tech stack.
Azumo vs RTS Labs: head-to-head summary
| Criterion | Azumo | RTS Labs |
|---|---|---|
| Founded | 2016 | 2011 |
| HQ | San Francisco, CA, USA (nearshore delivery in Latin America) | Richmond, VA, USA |
| Team size | 201–500 | 51–200 |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best for | US product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance | Enterprise teams needing combined data strategy and AI agent development from a single delivery partner |
| Pricing model | Dedicated team, retainer, T&M | Fixed project, retainer, dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | LLaMA, OpenAI, Gemini | OpenAI, LangChain, Python |
| Industries served | Fintech, Healthcare, SaaS, E-commerce, Enterprise | Supply chain, Logistics, Healthcare, Manufacturing, Financial services |
Azumo vs RTS Labs: overview
Azumo
Azumo is a nearshore software development company specialising in AI, machine learning, and natural language processing, with engineering teams in Latin America and leadership in San Francisco. The firm's AI agent approach centres on fine-tuning pre-trained LLMs (LLaMA, OpenAI, Gemini) for specific, well-defined use cases — customer support, document summarisation, risk analysis — rather than broad generalised systems. SOC 2 compliance is supported for private model tuning. Azumo is a practical fit for US product teams needing nearshore speed with Silicon Valley engineering standards.
RTS Labs
RTS Labs is a Richmond, Virginia-based technology and AI consultancy specialising in enterprise AI agent development, data strategy, and LLM integration. The firm focuses on moving enterprise clients from data strategy to production-grade AI deployment, with particular strength in supply chain, logistics, healthcare, and manufacturing. RTS Labs serves organisations that need both data engineering depth and AI agent capability from a single partner, avoiding the handoff complexity between a data firm and a separate AI agency.
Services and capabilities: Azumo vs RTS Labs
| Capability | Azumo | RTS Labs |
|---|---|---|
| Custom AI agents | ✓ | ✓ |
| Multi-agent systems | ✗ | ✓ |
| RAG pipelines | ✓ | ✓ |
| LLM integration | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Azumo vs RTS Labs
| Framework / platform | Azumo | RTS Labs |
|---|---|---|
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| CrewAI | N/A | N/A |
| LangChain | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| AWS Bedrock | N/A | N/A |
| GCP Vertex AI | N/A | N/A |
| Azure OpenAI | N/A | N/A |
Pricing comparison: Azumo vs RTS Labs
| Criterion | Azumo | RTS Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer, Time and materials | Fixed project, Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Azumo vs RTS Labs
| Dimension | Azumo | RTS Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | Supply chain, Logistics, Healthcare |
| Best use cases | Fine-tuned LLM agents for customer support automation, Document summarisation and risk analysis agents | Supply chain and logistics AI agent automation, Healthcare workflow agents with data pipeline integration |
| Typical project type | Dedicated team | Fixed project |
Azumo vs RTS Labs: pros and cons
| Azumo | |
|---|---|
| + | Nearshore Latin America delivery — same time zones as US clients |
| + | SOC 2 compliance for private model tuning and sensitive data |
| + | Focused LLM fine-tuning approach avoids over-engineering |
| + | Silicon Valley engineering practices at nearshore rates |
| - | Focused agent approach — less suited to open-ended multi-agent architecture |
| - | No fixed-price project model |
| RTS Labs | |
|---|---|
| + | Combines data strategy and AI agent delivery in one firm |
| + | Strong supply chain and logistics AI track record |
| + | US-based team for easy collaboration with North American enterprises |
| - | Mid-size team — limited for very large enterprise programmes |
| - | Less suited to startup or sub-$50K engagements |
Who should choose Azumo?
Azumo is the right choice for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance.
Nearshore Latin America delivery with US time zones; SOC 2 compliant private model tuning. Minimum engagement starts at Not disclosed. Works best with clients in Fintech, Healthcare, SaaS, E-commerce, Enterprise.
Who should choose RTS Labs?
RTS Labs is the right choice for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
Data strategy and AI agent development in one firm; supply chain and logistics AI depth. Minimum engagement starts at Not disclosed. Works best with clients in Supply chain, Logistics, Healthcare, Manufacturing, Financial services.
Decision matrix: Azumo vs RTS Labs
| Your situation | Recommended choice |
|---|---|
| You need production-ready AI agents with full delivery ownership | Azumo |
| You have a budget over $200K and need enterprise-scale delivery | Consider EPAM Systems for very large programmes |
| You need a fixed-price project with a well-defined scope | RTS Labs |
| You need AI engineers assembled within days | Consider Turing for speed of team assembly |
| You need healthcare AI with compliance expertise | Consider SoftServe for deep healthcare AI |
| Your budget is under $30K | Consider SoluLab ($15K) or Appinventiv ($20K) |
| You want multi-agent LangGraph architecture | Consider Tensorway or Leewayhertz |
| You need RAG over proprietary knowledge bases | Both Azumo and RTS Labs cover RAG |
Use case fit: Azumo vs RTS Labs
| Use case | Azumo fit | RTS Labs fit | Winner |
|---|---|---|---|
| Autonomous AI agents | Limited | Limited | Both equally |
| RAG knowledge systems | Limited | Limited | Both equally |
| Enterprise compliance AI | Limited | Strong | RTS Labs |
| Healthcare AI | Limited | Strong | RTS Labs |
| Startup AI MVP | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs RTS Labs
Azumo (4.4/5) is the stronger overall choice for most AI agent development projects in 2026. Nearshore Latin America delivery with US time zones; SOC 2 compliant private model tuning. It is best for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance.
RTS Labs (4.3/5) is the better choice when enterprise teams needing combined data strategy and AI agent development from a single delivery partner. If your situation matches those criteria, RTS Labs is a competitive option.
Related comparisons
Azumo vs RTS Labs FAQ
Is Azumo better than RTS Labs?
Azumo (4.4/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance. RTS Labs is better for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
How do Azumo and RTS Labs differ in pricing?
Azumo uses dedicated team, retainer, t&m pricing with a minimum engagement of Not disclosed. RTS Labs uses fixed project, retainer, dedicated team pricing with a minimum engagement of Not disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or RTS Labs?
Neither is the better enterprise choice due to team size and compliance capabilities. For large-scale enterprise AI programmes with multi-region requirements, EPAM Systems (10,000+ engineers) is worth evaluating alongside both firms.
What are the main differences between Azumo and RTS Labs?
Azumo's primary differentiator is: nearshore latin america delivery with us time zones; soc 2 compliant private model tuning. RTS Labs's primary differentiator is: data strategy and ai agent development in one firm; supply chain and logistics ai depth. They also differ in team size (201–500 vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Supply chain, Logistics).
Last reviewed: June 2026. Verify all details directly with each company before making a decision.