Azumo vs Kanerika: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.3/5) edges ahead of Kanerika (4.2/5) overall. Azumo is the better choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. Kanerika is the stronger option for organizations that want agentic AI built on top of an existing or new enterprise data and analytics foundation.. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Kanerika: head-to-head summary
| Criterion | Azumo | Kanerika |
|---|---|---|
| Founded | 2016 | 2015 |
| HQ | San Francisco, CA, USA | Austin, TX, USA |
| Team size | 51–200 | 201–500 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best for | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. | Organizations that want agentic AI built on top of an existing or new enterprise data and analytics foundation. |
| Pricing model | Dedicated team, staff augmentation | Fixed project, dedicated team |
| Min. engagement | $20K (per company website; independently unverifiable) | $25K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangGraph, CrewAI | Python, LangChain, Databricks |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare | Manufacturing, Retail & E-commerce, Healthcare, Financial Services |
Azumo vs Kanerika: 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.
Kanerika
Kanerika is an Austin, Texas-headquartered IT consultancy founded in 2015, with 201–500 employees, specializing in data analytics, data integration, and outsourced product development. Its agentic AI offering builds on that existing data and automation practice, positioning agent work as a natural extension of data pipelines the firm already manages for clients rather than a greenfield specialty. Buyers whose priority is agent-framework depth specifically, rather than data engineering plus agents, may find more concentrated expertise at a narrower specialist.
Services and capabilities: Azumo vs Kanerika
| Capability | Azumo | Kanerika |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Kanerika
| Framework / platform | Azumo | Kanerika |
|---|---|---|
| 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: Azumo vs Kanerika
| Criterion | Azumo | Kanerika |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $25K (per company website; independently unverifiable) |
| Engagement models | Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Azumo vs Kanerika
| Dimension | Azumo | Kanerika |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Manufacturing, Retail & E-commerce, 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 | Building analytical agents that scan a client's existing data warehouse for insight, Automating a specific workflow (e.g. invoice processing) tied into existing BI infrastructure |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Kanerika: 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 |
| Kanerika | |
|---|---|
| + | Existing data-integration and analytics practice gives agent work a governed data foundation |
| + | 201–500 headcount gives more bench depth than pure boutique competitors |
| + | Outsourced product development background suits clients wanting a longer-term extended team |
| + | Broad enterprise tooling experience (Databricks, Snowflake, Power BI) beyond agent frameworks alone |
| - | Agent-framework specialization is less concentrated than at AI-only boutiques on this list |
| - | Employee-count figures vary noticeably by source (from roughly 211 to 308), so verify current headcount directly |
| - | Data-and-analytics-first positioning may mean less experience with agent UX/conversational design specifically |
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 Kanerika?
Kanerika is the right choice for organizations that want agentic AI built on top of an existing or new enterprise data and analytics foundation..
Data-integration and analytics heritage means agents are built directly on top of governed data pipelines, not bolted on separately.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Manufacturing, Retail & E-commerce, Healthcare, Financial Services.
Decision matrix: Azumo vs Kanerika
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Kanerika |
| You need a large dedicated team for an ongoing programme | Azumo |
| Your budget is at the lower end | Azumo |
| 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 Kanerika
| Use case | Azumo fit | Kanerika fit | Winner |
|---|---|---|---|
| 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 | Strong | Strong | Both equally |
| Building analytical agents that scan a client's existing data warehouse for insight | Strong | Strong | Both equally |
| Automating a specific workflow (e.g. invoice processing) tied into existing BI infrastructure | Limited | Strong | Kanerika |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs Kanerika
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..
Kanerika (4.2/5) is the better choice when organizations that want agentic AI built on top of an existing or new enterprise data and analytics foundation.. If your situation matches those criteria, Kanerika is a competitive option.
Related comparisons
Azumo vs Kanerika FAQ
Is Azumo better than Kanerika?
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.. Kanerika is better for organizations that want agentic AI built on top of an existing or new enterprise data and analytics foundation..
How do Azumo and Kanerika differ in pricing?
Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). Kanerika uses fixed project, dedicated team pricing with a minimum engagement of $25K (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 Kanerika?
Kanerika 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 Kanerika?
Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. Kanerika's primary differentiator is: data-integration and analytics heritage means agents are built directly on top of governed data pipelines, not bolted on separately.. They also differ in team size (51–200 vs 201–500), minimum engagement ($20K (per company website; independently unverifiable) vs $25K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Manufacturing, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.