Azumo vs Encora: full comparison for 2026
Quick verdict
Azumo (4.1/5) edges ahead of Encora (4.0/5) overall. Azumo is the better choice for nearshore LLM and NLP builds for U.S. mid-market. Encora is the stronger option for U.S. firms wanting nearshore AI teams from a large provider. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Encora: head-to-head summary
| Criterion | Azumo | Encora |
|---|---|---|
| Founded | 2016 | 2005 |
| HQ | San Francisco, California, USA | Scottsdale, Arizona, USA |
| Team size | 100–500 (sources vary) | 9,500+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | A nearshore team that also builds its own NLP products | Large Mexican and Latin American delivery base with an AI engineering practice |
| Pricing model | Monthly rates for augmented engineers; dedicated teams; project pricing; rates on request | Dedicated teams; time and materials; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, OpenAI | Python, OpenAI, AWS |
| Industries served | Healthcare & life sciences, Media, Software & SaaS, Financial services | Software & SaaS, Healthcare & life sciences, Financial services, Travel |
Azumo vs Encora: overview
Azumo
Azumo is headquartered in San Francisco and has built AI-driven applications since 2016, with most of its engineers in Latin America. Directory headcounts range from under 100 to several hundred people. It offers staff augmentation, dedicated teams and full product outsourcing, and it also maintains its own AI products, including an NLU toolkit. Named clients include Meta and UnitedHealth (per company website; independently unverifiable).
Encora
Encora was founded in 2005 and is headquartered in Scottsdale, Arizona. It took its current name in 2020 after combining subsidiaries including Nearsoft, and it later absorbed Avantica. The company reports more than 9,500 engineers, designers and domain experts across the Americas, Europe, India and Southeast Asia, with AI and LLM engineering among its service lines. In December 2025 the Indian IT firm Coforge agreed to acquire Encora for about $2.35 billion, and Coforge said in April 2026 that all regulatory clearances had been received.
Services and capabilities: Azumo vs Encora
| Capability | Azumo | Encora |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✓ |
| AI agent development | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✓ |
Tech stack comparison: Azumo vs Encora
| Framework / platform | Azumo | Encora |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Encora
| Criterion | Azumo | Encora |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Full-time dedicated engineers, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Azumo vs Encora
| Dimension | Azumo | Encora |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare & life sciences, Media, Software & SaaS | Software & SaaS, Healthcare & life sciences, Financial services |
| Best use cases | Adding a conversational-AI engineer to a healthcare app team, Building a document-search assistant on internal knowledge | Building a nearshore team for a SaaS product's AI roadmap, Adding data and LLM engineers to a healthcare platform |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Azumo vs Encora: pros and cons
| Azumo | |
|---|---|
| + | Its own AI products show applied NLP experience |
| + | Latin American engineers share U.S. working hours |
| + | Flexible mix of augmentation and project delivery |
| - | Headcount reports vary widely, so ask how many AI engineers are actually on staff |
| - | Smaller bench than the large nearshore firms on this list |
| - | Founding year differs across sources (2013 or 2016) |
| Encora | |
|---|---|
| + | Nearshore delivery from Mexico and Latin America on U.S. hours |
| + | Scale to staff several teams at once |
| + | AI work is a named service line with its own platform |
| - | The Coforge acquisition may change account management, pricing and contract terms |
| - | Dedicated teams are the norm, so single-seat placements are less common |
| - | AI depth varies by delivery center |
Who should choose Azumo?
A typical fit: adding a conversational-AI engineer to a healthcare app team.
A nearshore team that also builds its own NLP products. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare & life sciences, Media, Software & SaaS, Financial services.
Who should choose Encora?
A typical fit: building a nearshore team for a SaaS product's AI roadmap.
Large Mexican and Latin American delivery base with an AI engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Healthcare & life sciences, Financial services, Travel.
Decision matrix: Azumo vs Encora
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; Azumo rates higher overall |
| You want the supplier to own delivery as well as staffing | Both; Azumo rates higher overall |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: Azumo (Not published) vs Encora (Not published) |
| You need overlap with U.S. working hours | Both; Azumo rates higher overall |
| You need specialist depth in a specific vertical | Azumo |
Use case fit: Azumo vs Encora
| Use case | Azumo fit | Encora fit | Winner |
|---|---|---|---|
| Adding a conversational-AI engineer to a healthcare app team | Strong | Strong | Both equally |
| Building a document-search assistant on internal knowledge | Strong | Strong | Both equally |
| Building a nearshore team for a SaaS product's AI roadmap | Strong | Strong | Both equally |
| Adding data and LLM engineers to a healthcare platform | Strong | Strong | Both equally |
Verdict: Azumo vs Encora
Azumo (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. A nearshore team that also builds its own NLP products.
Encora (4.0/5) is worth a look if you need adding data and LLM engineers to a healthcare platform. If your situation matches that, Encora is a competitive option.
Related comparisons
Azumo vs Encora FAQ
Is Azumo better than Encora?
Azumo (4.1/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: its own AI products show applied NLP experience. Encora's strongest advantage: nearshore delivery from Mexico and Latin America on U.S. hours.
How do Azumo and Encora differ in pricing?
Azumo uses monthly rates for augmented engineers; dedicated teams; project pricing; rates on request pricing. Encora uses dedicated teams; time and materials; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or Encora?
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 Encora?
Azumo's primary differentiator is: a nearshore team that also builds its own NLP products. Encora's primary differentiator is: large Mexican and Latin American delivery base with an AI engineering practice. They also differ in team size (100–500 (sources vary) vs 9,500+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare & life sciences, Media vs Software & SaaS, Healthcare & life sciences).
Verify all details directly with each company before making a decision.