KORE1 vs Globant: full comparison for 2026
Quick verdict
KORE1 (3.9/5) edges ahead of Globant (3.9/5) overall. KORE1 is the better choice for U.S. companies that want to hire AI engineers onto payroll. 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.
KORE1 vs Globant: head-to-head summary
| Criterion | KORE1 | Globant |
|---|---|---|
| Founded | 2005 | 2003 |
| HQ | Irvine, California, USA | Luxembourg (operations centered in Buenos Aires) |
| Team size | Not disclosed | 28,500 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | Direct-hire and contract-to-hire paths for AI roles | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Contract bill rate or direct-hire placement fee; rates on request | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Claude, OpenAI, Gemini |
| Industries served | Healthcare, SaaS, Fintech, Manufacturing | Media, Fintech, Retail, Travel, Healthcare |
KORE1 vs Globant: overview
KORE1
KORE1 was founded in 2005 and is headquartered in Irvine, California, serving clients in more than 30 U.S. metro areas. Unlike most companies on this list, it is a traditional staffing and recruiting firm: it places AI and ML engineers as contractors, contract-to-hire or direct employees of the client. It says it fills AI roles in an average of 17 days with 92% twelve-month retention (per company website; independently unverifiable).
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: KORE1 vs Globant
| Capability | KORE1 | 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: KORE1 vs Globant
| Framework / platform | KORE1 | Globant |
|---|---|---|
| PyTorch | ✓ | 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 | ✓ | ✓ |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: KORE1 vs Globant
| Criterion | KORE1 | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Contract-to-hire, Full-time dedicated engineers | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: KORE1 vs Globant
| Dimension | KORE1 | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, SaaS, Fintech | Media, Fintech, Retail |
| Best use cases | Hiring a U.S.-based ML engineer as a permanent employee, Contract-to-hire for an MLOps role | Buying AI-assisted engineering capacity on a subscription, Large LatAm-based teams for media and entertainment companies |
| Typical project type | Contract-to-hire | Dedicated team |
KORE1 vs Globant: pros and cons
| KORE1 | |
|---|---|
| + | Only company here built around converting contractors into your own employees |
| + | U.S.-based candidates for roles that need on-site or domestic staff |
| + | Stated 17-day average fill time |
| - | Recruiter-led screening; technical vetting relies on your interviews |
| - | U.S. salaries make it the costliest option per engineer |
| - | Performance claims are self-reported |
| 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 KORE1?
A typical fit: hiring a U.S.-based ML engineer as a permanent employee.
Direct-hire and contract-to-hire paths for AI roles. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, SaaS, Fintech, Manufacturing.
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: KORE1 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 | KORE1 |
| Your budget is at the lower end | Compare: KORE1 (Not disclosed) 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: KORE1 vs Globant
| Use case | KORE1 fit | Globant fit | Winner |
|---|---|---|---|
| Hiring a U.S.-based ML engineer as a permanent employee | Strong | Limited | KORE1 |
| Contract-to-hire for an MLOps role | Strong | Limited | KORE1 |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: KORE1 vs Globant
KORE1 (3.9/5) is the stronger overall choice for most AI Staffing projects. Direct-hire and contract-to-hire paths for AI roles.
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.
Related comparisons
KORE1 vs Globant FAQ
Is KORE1 better than Globant?
KORE1 (3.9/5) scores higher overall, but "better" depends on your use case. KORE1's strongest advantage: only company here built around converting contractors into your own employees. Globant's strongest advantage: novel pricing model tied to delivered output.
How do KORE1 and Globant differ in pricing?
KORE1 uses contract bill rate or direct-hire placement fee; rates on request pricing. 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: KORE1 or Globant?
Globant 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 KORE1 and Globant?
KORE1's primary differentiator is: direct-hire and contract-to-hire paths for AI roles. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (Not disclosed vs 28,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, SaaS vs Media, Fintech).
Verify all details directly with each agency before making a decision.