RTS Labs vs Azumo: full comparison for 2026
Last updated: August 2026
Quick verdict
RTS Labs (4.5/5) edges ahead of Azumo (4.3/5) overall. RTS Labs is the better choice for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system.. Azumo is the stronger option for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Azumo: head-to-head summary
| Criterion | RTS Labs | Azumo |
|---|---|---|
| Founded | 2010 | 2016 |
| HQ | Glen Allen, VA, USA | San Francisco, CA, USA |
| Team size | 51–200 | 51–200 |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Best for | Mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system. | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. |
| Pricing model | Fixed project, dedicated team | Dedicated team, staff augmentation |
| Min. engagement | $25K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, LangGraph | Python, LangGraph, CrewAI |
| Industries served | Financial Services, Healthcare, Manufacturing, Retail & E-commerce | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare |
RTS Labs vs Azumo: overview
RTS Labs
RTS Labs is a Richmond/Glen Allen, Virginia-based AI consultancy founded in 2010 that positions itself as a boutique alternative to large systems integrators for enterprise AI and agent programs. The roughly 66–100 person team focuses on the architecture, guardrails, and hands-on engineering needed to move an AI pilot into a governed production deployment rather than stopping at a proof of concept. Its size gives it a shorter chain of command than the global SIs on this list, at the cost of the bench depth those firms can offer for very large multi-country rollouts.
Azumo
Azumo is a nearshore software development firm founded in 2016 and headquartered in San Francisco, with roughly 110 employees spread across South America, North America, and Asia. It explicitly builds production-grade agentic systems using LangGraph, CrewAI, and Microsoft AutoGen, coordinating multiple models and tools to complete multi-step business processes for enterprise clients. Its nearshore staffing model trades some of the premium of onshore-only teams for time-zone-aligned delivery, without the larger enterprise support apparatus of bigger SIs.
Services and capabilities: RTS Labs vs Azumo
| Capability | RTS Labs | Azumo |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✓ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Azumo
| Framework / platform | RTS Labs | Azumo |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | ✓ | ✓ |
| AutoGen | N/A | ✓ |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: RTS Labs vs Azumo
| Criterion | RTS Labs | Azumo |
|---|---|---|
| Minimum engagement | $25K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Azumo
| Dimension | RTS Labs | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Healthcare, Manufacturing | Technology & SaaS, Retail & E-commerce, Financial Services |
| Best use cases | Converting an internal AI pilot into a production system with proper monitoring and guardrails, Building workflow-integration agents that connect into existing enterprise software | Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process, Extending an internal engineering team with nearshore agentic AI capacity |
| Typical project type | Fixed project | Dedicated team |
RTS Labs vs Azumo: pros and cons
| RTS Labs | |
|---|---|
| + | Explicit specialization in the pilot-to-production transition, not just prototype building |
| + | Boutique team size means direct access to senior architects rather than layered account management |
| + | Founder-led (Jyot Singh) with a decade-plus of continuity at the same firm |
| + | Guardrails and governance framing appeals to risk-conscious enterprise buyers |
| - | Team of roughly 66–100 people limits capacity for very large, multi-workstream enterprise rollouts |
| - | Narrower public case study library than larger, longer-established competitors |
| - | Primarily US-market focused with less documented international delivery experience |
| Azumo | |
|---|---|
| + | Named, current expertise across three major multi-agent orchestration frameworks |
| + | Nearshore staffing (South/North America) keeps time zones aligned with US clients |
| + | ~110-person team stays small enough for direct engineering access without large-SI layers |
| + | Founded 2016 with a decade of nearshore delivery track record |
| - | Smaller team than the global systems integrators limits very large concurrent programs |
| - | Public enterprise-scale compliance certifications are less documented than at bigger competitors |
| - | Delivery model depends on continued nearshore talent availability across multiple countries |
Who should choose RTS Labs?
RTS Labs is the right choice for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system..
Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Financial Services, Healthcare, Manufacturing, Retail & E-commerce.
Who should choose Azumo?
Azumo is the right choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare.
Decision matrix: RTS Labs vs Azumo
| 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 | RTS Labs |
| Your budget is at the lower end | Azumo |
| 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 Azumo
| Use case | RTS Labs fit | Azumo fit | Winner |
|---|---|---|---|
| Converting an internal AI pilot into a production system with proper monitoring and guardrails | Strong | Limited | RTS Labs |
| Building workflow-integration agents that connect into existing enterprise software | Strong | Strong | Both equally |
| Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process | Strong | Strong | Both equally |
| Extending an internal engineering team with nearshore agentic AI capacity | Limited | Strong | Azumo |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Azumo
RTS Labs (4.5/5) is the stronger overall choice for most AI Agent Development projects. Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.. It is best for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system..
Azumo (4.3/5) is the better choice when uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. If your situation matches those criteria, Azumo is a competitive option.
Related comparisons
RTS Labs vs Azumo FAQ
Is RTS Labs better than Azumo?
RTS Labs (4.5/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for mid-market and enterprise teams that have an AI pilot and need help turning it into a governed production system.. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
How do RTS Labs and Azumo differ in pricing?
RTS Labs uses fixed project, dedicated team pricing with a minimum engagement of $25K (per company website; independently unverifiable). Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: RTS Labs or Azumo?
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 Azumo?
RTS Labs's primary differentiator is: architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping.. Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. They also differ in team size (51–200 vs 51–200), minimum engagement ($25K (per company website; independently unverifiable) vs $20K (per company website; independently unverifiable)), and primary industries served (Financial Services, Healthcare vs Technology & SaaS, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.