MathCo vs Azumo: full comparison for 2026
Last updated: August 2026
Quick verdict
MathCo (4.1/5) edges ahead of Azumo (4.0/5) overall. MathCo is the better choice for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations.. 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.
MathCo vs Azumo: head-to-head summary
| Criterion | MathCo | Azumo |
|---|---|---|
| Founded | 2016 | 2016 |
| HQ | Chicago, IL, USA | San Francisco, CA, USA |
| Team size | 1,001–5,000 | 51–200 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations. | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. |
| Pricing model | Retainer, dedicated team | Dedicated team, staff augmentation |
| Min. engagement | Not published | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, AWS | Python, LangGraph, CrewAI |
| Industries served | Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare |
MathCo vs Azumo: overview
MathCo
MathCo (formally TheMathCompany) was founded in 2016 and operates dual headquarters in Chicago, Illinois and Bangalore, India, with approximately 2,000 employees across five continents. A global enterprise AI and analytics company, it applies its data science and AI platform work to agentic AI, giving buyers a mid-large firm with genuine dual-continent leadership rather than a single offshore delivery center dressed up as a US company.
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.
Services and capabilities: MathCo vs Azumo
| Capability | MathCo | Azumo |
|---|---|---|
| Multi-agent orchestration | ✗ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: MathCo vs Azumo
| Framework / platform | MathCo | Azumo |
|---|---|---|
| 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 |
| Kubernetes | N/A | N/A |
Pricing comparison: MathCo vs Azumo
| Criterion | MathCo | Azumo |
|---|---|---|
| Minimum engagement | Not published | $20K (per company website; independently unverifiable) |
| Engagement models | Retainer, Dedicated team | Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: MathCo vs Azumo
| Dimension | MathCo | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Retail & E-commerce, Manufacturing | Technology & SaaS, Retail & E-commerce, Financial Services |
| Best use cases | Enterprises wanting agentic AI bundled with a broader enterprise AI/analytics platform engagement, Buyers wanting genuine dual-continent account leadership, not just offshore delivery | 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 | Retainer | Dedicated team |
MathCo vs Azumo: pros and cons
| MathCo | |
|---|---|
| + | Genuine dual headquarters (Chicago, Bangalore) rather than a US sales front over offshore delivery |
| + | A decade of enterprise AI and analytics history since 2016 |
| + | ~2,000 employees across five continents gives substantial bench depth |
| + | Existing enterprise data and AI platform work gives agentic use cases a mature foundation |
| - | Agentic AI is an application of a broader enterprise AI and analytics platform, not a standalone specialty |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Reported employee counts vary by source, worth confirming current headcount directly |
| 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 MathCo?
MathCo is the right choice for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations..
Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS.
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: MathCo vs Azumo
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | MathCo |
| Your budget is at the lower end | Compare: MathCo (Not published) vs Azumo ($20K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | MathCo |
| 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: MathCo vs Azumo
| Use case | MathCo fit | Azumo fit | Winner |
|---|---|---|---|
| Enterprises wanting agentic AI bundled with a broader enterprise AI/analytics platform engagement | Strong | Limited | MathCo |
| Buyers wanting genuine dual-continent account leadership, not just offshore delivery | Strong | Limited | MathCo |
| 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: MathCo vs Azumo
MathCo (4.1/5) is the stronger overall choice for most Agentic AI projects. Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale.. It is best for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations..
Azumo (4.0/5) 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
MathCo vs Azumo FAQ
Is MathCo better than Azumo?
MathCo (4.1/5) scores higher overall, but "better" depends on your use case. MathCo is better for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations.. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
How do MathCo and Azumo differ in pricing?
MathCo uses retainer, dedicated team pricing with a minimum engagement of Not published. 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: MathCo or Azumo?
MathCo 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 MathCo and Azumo?
MathCo's primary differentiator is: genuine dual headquarters (chicago and bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale.. 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 (1,001–5,000 vs 51–200), minimum engagement (Not published vs $20K (per company website; independently unverifiable)), and primary industries served (Financial Services, Retail & E-commerce vs Technology & SaaS, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.