Azumo vs Riseup Labs: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.3/5) edges ahead of Riseup Labs (3.7/5) overall. Azumo is the better choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. Riseup Labs is the stronger option for startups and budget-constrained teams needing a lower-cost entry point into agentic AI development.. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Riseup Labs: head-to-head summary
| Criterion | Azumo | Riseup Labs |
|---|---|---|
| Founded | 2016 | 2009 |
| HQ | San Francisco, CA, USA | Dhaka, Bangladesh |
| Team size | 51–200 | 51–200 |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Best for | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. | Startups and budget-constrained teams needing a lower-cost entry point into agentic AI development. |
| Pricing model | Dedicated team, staff augmentation | Fixed project, staff augmentation |
| Min. engagement | $20K (per company website; independently unverifiable) | $10K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangGraph, CrewAI | Python, LangChain, AWS |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare | Retail & E-commerce, Technology & SaaS, Healthcare |
Azumo vs Riseup Labs: overview
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.
Riseup Labs
Riseup Labs is an IT services company founded in 2009 and headquartered in Dhaka, Bangladesh, with roughly 175 employees delivering AI-powered software and broader digital transformation services. Its South Asian cost base makes it one of the more accessible options on this list for budget-constrained agent projects, led by founder and CEO Ershadul Hoque. As a smaller, regionally concentrated firm, it has a shorter enterprise-scale track record than the larger, longer-established competitors on this list.
Services and capabilities: Azumo vs Riseup Labs
| Capability | Azumo | Riseup Labs |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Riseup Labs
| Framework / platform | Azumo | Riseup Labs |
|---|---|---|
| LangChain | N/A | ✓ |
| LangGraph | ✓ | N/A |
| 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 | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Riseup Labs
| Criterion | Azumo | Riseup Labs |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $10K (per company website; independently unverifiable) |
| Engagement models | Dedicated team, Staff augmentation | Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Azumo vs Riseup Labs
| Dimension | Azumo | Riseup Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Retail & E-commerce, Technology & SaaS, Healthcare |
| Best use cases | 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 | Budget-constrained startups needing a functional agent prototype, Extending an internal team with lower-cost offshore agentic AI development capacity |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Riseup Labs: pros and cons
| 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 |
| Riseup Labs | |
|---|---|
| + | South Asian cost base makes it one of the more budget-accessible firms on this list |
| + | 15+ years of IT services delivery history since founding in 2009 |
| + | Founder-led continuity under CEO Ershadul Hoque |
| + | AI-powered software positioning suggests active investment in current AI tooling |
| - | Smaller, more regionally concentrated team than larger global competitors on this list |
| - | Fewer large-enterprise or regulated-industry public case studies than established Western firms |
| - | Time-zone distance from US/EU clients may require more asynchronous project management |
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.
Who should choose Riseup Labs?
Riseup Labs is the right choice for startups and budget-constrained teams needing a lower-cost entry point into agentic AI development..
South Asian cost base combined with 15+ years of IT services history, aimed at budget-conscious agent projects.. Minimum engagement starts at $10K (per company website; independently unverifiable). Works best with clients in Retail & E-commerce, Technology & SaaS, Healthcare.
Decision matrix: Azumo vs Riseup Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Riseup Labs |
| You need a large dedicated team for an ongoing programme | Azumo |
| Your budget is at the lower end | Riseup Labs |
| You need specialist depth in a specific vertical | Azumo |
| 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: Azumo vs Riseup Labs
| Use case | Azumo fit | Riseup Labs fit | Winner |
|---|---|---|---|
| Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process | Strong | Limited | Azumo |
| Extending an internal engineering team with nearshore agentic AI capacity | Strong | Strong | Both equally |
| Budget-constrained startups needing a functional agent prototype | Limited | Strong | Riseup Labs |
| Extending an internal team with lower-cost offshore agentic AI development capacity | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs Riseup Labs
Azumo (4.3/5) is the stronger overall choice for most AI Agent Development projects. Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration.. It is best for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
Riseup Labs (3.7/5) is the better choice when startups and budget-constrained teams needing a lower-cost entry point into agentic AI development.. If your situation matches those criteria, Riseup Labs is a competitive option.
Related comparisons
Azumo vs Riseup Labs FAQ
Is Azumo better than Riseup Labs?
Azumo (4.3/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. Riseup Labs is better for startups and budget-constrained teams needing a lower-cost entry point into agentic AI development..
How do Azumo and Riseup Labs differ in pricing?
Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). Riseup Labs uses fixed project, staff augmentation pricing with a minimum engagement of $10K (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: Azumo or Riseup Labs?
Azumo 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 Azumo and Riseup Labs?
Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. Riseup Labs's primary differentiator is: south asian cost base combined with 15+ years of it services history, aimed at budget-conscious agent projects.. They also differ in team size (51–200 vs 51–200), minimum engagement ($20K (per company website; independently unverifiable) vs $10K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Retail & E-commerce, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.