Centific vs Azumo: full comparison for 2026
Last updated: August 2026
Quick verdict
Centific (4.0/5) edges ahead of Azumo (4.0/5) overall. Centific is the better choice for enterprises wanting agentic AI built on top of rigorous, purpose-built data pipelines rather than ad hoc data prep.. 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.
Centific vs Azumo: head-to-head summary
| Criterion | Centific | Azumo |
|---|---|---|
| Founded | 2020 | 2016 |
| HQ | Redmond, WA, USA | San Francisco, CA, USA |
| Team size | 3,000–5,000 | 51–200 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Best for | Enterprises wanting agentic AI built on top of rigorous, purpose-built data pipelines rather than ad hoc data prep. | 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 | Technology & SaaS, Retail & E-commerce, Financial Services, Manufacturing | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare |
Centific vs Azumo: overview
Centific
Centific (formerly Pactera EDGE) was founded in 2020 and is headquartered in Redmond, Washington, with approximately 3,400 employees. It operates as an AI data foundry, building data pipelines and platforms to collect, curate, and refine multimodal data for training and deploying AI models at scale, extending that data-infrastructure specialization into agentic AI delivery. Its rebrand from Pactera EDGE is a material fact worth disclosing to buyers researching its history under the older name.
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: Centific vs Azumo
| Capability | Centific | Azumo |
|---|---|---|
| Multi-agent orchestration | ✗ | ✓ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Centific vs Azumo
| Framework / platform | Centific | 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: Centific vs Azumo
| Criterion | Centific | 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: Centific vs Azumo
| Dimension | Centific | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Technology & SaaS, Retail & E-commerce, Financial Services |
| Best use cases | Enterprises wanting agent reliability built on rigorous, purpose-built data curation pipelines, Large-scale multimodal data preparation feeding into agentic AI training and deployment | 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 |
Centific vs Azumo: pros and cons
| Centific | |
|---|---|
| + | ~3,400 employees gives substantial bench depth for large enterprise programs |
| + | Specialized data-foundry background (curating multimodal data at scale) is directly relevant to reliable agent behavior |
| + | Founded 2020, but built on the pre-existing Pactera EDGE business with a longer institutional history |
| + | US headquarters (Redmond, WA) with global delivery capacity |
| - | Rebrand from Pactera EDGE (2020) means buyers researching the older name need to connect the history |
| - | Data-foundry-first positioning means agentic AI is one application of a broader data infrastructure practice |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| 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 Centific?
Centific is the right choice for enterprises wanting agentic AI built on top of rigorous, purpose-built data pipelines rather than ad hoc data prep..
An AI data foundry specialization — data pipeline and curation infrastructure for training and deploying AI at scale — feeding directly into agentic AI delivery.. Minimum engagement starts at Not published. Works best with clients in Technology & SaaS, Retail & E-commerce, Financial Services, Manufacturing.
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: Centific 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 | Centific |
| Your budget is at the lower end | Compare: Centific (Not published) vs Azumo ($20K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | Centific |
| 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: Centific vs Azumo
| Use case | Centific fit | Azumo fit | Winner |
|---|---|---|---|
| Enterprises wanting agent reliability built on rigorous, purpose-built data curation pipelines | Strong | Limited | Centific |
| Large-scale multimodal data preparation feeding into agentic AI training and deployment | Strong | Limited | Centific |
| Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process | Limited | Strong | Azumo |
| 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: Centific vs Azumo
Centific (4.0/5) is the stronger overall choice for most Agentic AI projects. An AI data foundry specialization — data pipeline and curation infrastructure for training and deploying AI at scale — feeding directly into agentic AI delivery.. It is best for enterprises wanting agentic AI built on top of rigorous, purpose-built data pipelines rather than ad hoc data prep..
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
Centific vs Azumo FAQ
Is Centific better than Azumo?
Centific (4.0/5) scores higher overall, but "better" depends on your use case. Centific is better for enterprises wanting agentic AI built on top of rigorous, purpose-built data pipelines rather than ad hoc data prep.. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
How do Centific and Azumo differ in pricing?
Centific 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: Centific or Azumo?
Centific 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 Centific and Azumo?
Centific's primary differentiator is: an ai data foundry specialization — data pipeline and curation infrastructure for training and deploying ai at scale — feeding directly into agentic ai delivery.. 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 (3,000–5,000 vs 51–200), minimum engagement (Not published vs $20K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Technology & SaaS, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.