Azumo vs Howdy.com: full comparison for 2026
Quick verdict
Azumo (4.5/5) edges ahead of Howdy.com (4.1/5) overall. Azumo is the better choice for startups adding GenAI engineers on U.S. hours. Howdy.com is the stronger option for teams that want transparent nearshore pricing. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Howdy.com: head-to-head summary
| Criterion | Azumo | Howdy.com |
|---|---|---|
| Founded | 2016 | 2018 |
| HQ | San Francisco, USA | Austin, Texas, USA |
| Team size | 100–249 | 100–249 |
| Rating | 4.5 / 5 | 4.1 / 5 |
| Primary differentiator | Nearshore staffing with a hiring focus on GenAI and agent roles | Published 15% fee on top of the engineer's pay |
| Pricing model | Monthly per engineer; dedicated team; project-based; rates on request | Engineer salary plus a flat 15% service fee (published) |
| Min. engagement | Not disclosed | 1 engineer |
| Primary tech stack | OpenAI, LangChain, Hugging Face | Python, AWS, Databricks |
| Industries served | SaaS, Fintech, Healthcare, Media | SaaS, Fintech, Healthcare, E-commerce |
Azumo vs Howdy.com: overview
Azumo
Azumo was founded in San Francisco in 2016 by former investment banker Chike Agbai, whose first client was Twitter. Its engineers are based in more than 20 Latin American countries and work U.S. hours. The company sells three formats: staff augmentation alongside an existing team, dedicated teams, and project delivery, and its recent hiring is weighted toward generative-AI, agent and forward-deployed engineering roles. Headcount estimates range from about 80 to just over 100 depending on the source.
Howdy.com
Howdy.com was founded in Austin, Texas, in 2018 by Jacqueline Samira, with Frank Licea later joining as co-founder and CTO. Unlike a pure marketplace, it recruits, employs and supports its engineers, and it runs in-country hubs it calls Howdy Houses in Latin American cities. In August 2023 it acquired the Brazilian talent marketplace GeekHunter, citing rising demand for AI and ML skills. A 2026 industry ranking lists its fee as a flat 15% of the billed rate.
Services and capabilities: Azumo vs Howdy.com
| Capability | Azumo | Howdy.com |
|---|---|---|
| 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 Howdy.com
| Framework / platform | Azumo | Howdy.com |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | ✓ | N/A |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Howdy.com
| Criterion | Azumo | Howdy.com |
|---|---|---|
| Minimum engagement | Not disclosed | 1 engineer |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Azumo vs Howdy.com
| Dimension | Azumo | Howdy.com |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | SaaS, Fintech, Healthcare |
| Best use cases | Adding an LLM engineer to ship a first GenAI feature, Hiring an agent developer to prototype internal automation | Hiring a full-time LatAm data engineer with clear cost visibility, Building a two-to-four person nearshore team for a U.S. startup |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Azumo vs Howdy.com: pros and cons
| Azumo | |
|---|---|
| + | Hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers |
| + | No long-term commitment required for augmentation seats |
| + | U.S. time zones and a U.S.-based management team |
| + | Small enough that founders and senior staff stay involved in client accounts |
| - | Headcount is modest, so very large teams may take longer to assemble |
| - | Public detail on how candidates are technically screened is thin |
| - | No published rates |
| Howdy.com | |
|---|---|
| + | Fee structure is published, so you can see what the engineer actually earns |
| + | Engineers are employed and supported locally, which helps retention |
| + | GeekHunter acquisition widened its Brazilian candidate pool |
| + | U.S. time zones |
| - | AI depth depends on who is available; it is a general engineering staffing company |
| - | Disclosure: acquired GeekHunter in 2023, so part of its candidate supply comes through a marketplace subsidiary |
| - | Technical screening is lighter than at AI-only companies |
Who should choose Azumo?
A typical fit: adding an LLM engineer to ship a first GenAI feature.
Nearshore staffing with a hiring focus on GenAI and agent roles. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Healthcare, Media.
Who should choose Howdy.com?
A typical fit: hiring a full-time LatAm data engineer with clear cost visibility.
Published 15% fee on top of the engineer's pay. Minimum engagement starts at 1 engineer. Works best with clients in SaaS, Fintech, Healthcare, E-commerce.
Decision matrix: Azumo vs Howdy.com
| 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 | Azumo |
| Your budget is at the lower end | Compare: Azumo (Not disclosed) vs Howdy.com (1 engineer) |
| 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 Howdy.com
| Use case | Azumo fit | Howdy.com fit | Winner |
|---|---|---|---|
| Adding an LLM engineer to ship a first GenAI feature | Strong | Strong | Both equally |
| Hiring an agent developer to prototype internal automation | Strong | Strong | Both equally |
| Hiring a full-time LatAm data engineer with clear cost visibility | Strong | Strong | Both equally |
| Building a two-to-four person nearshore team for a U.S. startup | Limited | Strong | Howdy.com |
Verdict: Azumo vs Howdy.com
Azumo (4.5/5) is the stronger overall choice for most AI Staffing projects. Nearshore staffing with a hiring focus on GenAI and agent roles.
Howdy.com (4.1/5) is worth a look if you need building a two-to-four person nearshore team for a U.S. startup. If your situation matches that, Howdy.com is a competitive option.
Related comparisons
Azumo vs Howdy.com FAQ
Is Azumo better than Howdy.com?
Azumo (4.5/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns.
How do Azumo and Howdy.com differ in pricing?
Azumo uses monthly per engineer; dedicated team; project-based; rates on request pricing. Howdy.com uses engineer salary plus a flat 15% service fee (published) pricing with a minimum engagement of 1 engineer. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or Howdy.com?
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 agency before shortlisting.
What are the main differences between Azumo and Howdy.com?
Azumo's primary differentiator is: nearshore staffing with a hiring focus on GenAI and agent roles. Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. They also differ in team size (100–249 vs 100–249), minimum engagement (Not disclosed vs 1 engineer), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.