Howdy.com vs Globant: full comparison for 2026
Quick verdict
Howdy.com (4.1/5) edges ahead of Globant (3.9/5) overall. Howdy.com is the better choice for teams that want transparent nearshore pricing. Globant is the stronger option for enterprises open to outcome-priced AI delivery. The right choice depends on your project size, budget, and required tech stack.
Howdy.com vs Globant: head-to-head summary
| Criterion | Howdy.com | Globant |
|---|---|---|
| Founded | 2018 | 2003 |
| HQ | Austin, Texas, USA | Luxembourg (operations centered in Buenos Aires) |
| Team size | 100–249 | 28,500 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Published 15% fee on top of the engineer's pay | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Engineer salary plus a flat 15% service fee (published) | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | 1 engineer | Not disclosed |
| Primary tech stack | Python, AWS, Databricks | Claude, OpenAI, Gemini |
| Industries served | SaaS, Fintech, Healthcare, E-commerce | Media, Fintech, Retail, Travel, Healthcare |
Howdy.com vs Globant: overview
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.
Globant
Globant was founded in Buenos Aires in 2003 and is incorporated in Luxembourg, with about 28,500 employees as of mid-2026. Since June 2025 it has sold AI Pods, a subscription priced on token consumption in which Globant experts supervise AI-agent workflows that produce software. In June 2026 it announced a multi-year alliance with Anthropic and joined the Claude Partner Network as a preferred services partner. The pod model is managed delivery, so buyers looking for classic seat-based staffing should ask about it specifically.
Services and capabilities: Howdy.com vs Globant
| Capability | Howdy.com | Globant |
|---|---|---|
| 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: Howdy.com vs Globant
| Framework / platform | Howdy.com | Globant |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | 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: Howdy.com vs Globant
| Criterion | Howdy.com | Globant |
|---|---|---|
| Minimum engagement | 1 engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team | Dedicated team, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Howdy.com vs Globant
| Dimension | Howdy.com | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Media, Fintech, Retail |
| Best use cases | Hiring a full-time LatAm data engineer with clear cost visibility, Building a two-to-four person nearshore team for a U.S. startup | Buying AI-assisted engineering capacity on a subscription, Large LatAm-based teams for media and entertainment companies |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Howdy.com vs Globant: pros and cons
| 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 |
| Globant | |
|---|---|
| + | Novel pricing model tied to delivered output |
| + | Large LatAm workforce in U.S.-friendly time zones |
| + | Anthropic alliance gives early access to Claude tooling |
| - | Pods are managed delivery; individual augmentation is secondary |
| - | Company is in the middle of a strategy shift after a steep share-price fall |
| - | Enterprise sales cycle |
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.
Who should choose Globant?
A typical fit: buying AI-assisted engineering capacity on a subscription.
Token-subscription pricing in place of seat-based staffing. Minimum engagement is not publicly disclosed. Works best with clients in Media, Fintech, Retail, Travel, Healthcare.
Decision matrix: Howdy.com vs Globant
| 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 | Howdy.com |
| Your budget is at the lower end | Compare: Howdy.com (1 engineer) vs Globant (Not disclosed) |
| You need specialist depth in a specific vertical | Globant |
| 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: Howdy.com vs Globant
| Use case | Howdy.com fit | Globant fit | Winner |
|---|---|---|---|
| Hiring a full-time LatAm data engineer with clear cost visibility | Strong | Limited | Howdy.com |
| Building a two-to-four person nearshore team for a U.S. startup | Strong | Limited | Howdy.com |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: Howdy.com vs Globant
Howdy.com (4.1/5) is the stronger overall choice for most AI Staffing projects. Published 15% fee on top of the engineer's pay.
Globant (3.9/5) is worth a look if you need large LatAm-based teams for media and entertainment companies. If your situation matches that, Globant is a competitive option.
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Howdy.com vs Globant FAQ
Is Howdy.com better than Globant?
Howdy.com (4.1/5) scores higher overall, but "better" depends on your use case. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns. Globant's strongest advantage: novel pricing model tied to delivered output.
How do Howdy.com and Globant differ in pricing?
Howdy.com uses engineer salary plus a flat 15% service fee (published) pricing with a minimum engagement of 1 engineer. Globant uses ai pods subscription based on token consumption; traditional dedicated teams pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Howdy.com or Globant?
Howdy.com 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 Howdy.com and Globant?
Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (100–249 vs 28,500), minimum engagement (1 engineer vs Not disclosed), and primary industries served (SaaS, Fintech vs Media, Fintech).
Verify all details directly with each agency before making a decision.