Simform vs Globant: full comparison for 2026
Quick verdict
Simform (4.1/5) edges ahead of Globant (3.9/5) overall. Simform is the better choice for azure-based companies wanting a lower-cost dedicated AI team. 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.
Simform vs Globant: head-to-head summary
| Criterion | Simform | Globant |
|---|---|---|
| Founded | 2010 | 2003 |
| HQ | Orlando, Florida, USA (delivery in India) | Luxembourg (operations centered in Buenos Aires) |
| Team size | 800–1,300 | 28,500 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Azure-centered AI engineering at India delivery rates | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Dedicated team; time and materials; rates on request | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure ML, Azure OpenAI, Python | Claude, OpenAI, Gemini |
| Industries served | SaaS, Healthcare, Fintech, Logistics | Media, Fintech, Retail, Travel, Healthcare |
Simform vs Globant: overview
Simform
Simform was founded in October 2010, lists its headquarters in Orlando, Florida, and runs most of its engineering from Ahmedabad, India. Employee estimates range from about 820 to 1,300 depending on the source. Its dedicated-team model is the core of the business, with AI/ML and agentic-AI work sold alongside cloud engineering. The company states it holds Microsoft Azure Expert MSP status (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: Simform vs Globant
| Capability | Simform | 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: Simform vs Globant
| Framework / platform | Simform | Globant |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | ✓ | ✓ |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Simform vs Globant
| Criterion | Simform | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Full-time dedicated engineers, Managed delivery | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Simform vs Globant
| Dimension | Simform | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Healthcare, Fintech | Media, Fintech, Retail |
| Best use cases | Adding Azure ML engineers to an enterprise data team, Building a dedicated agent-development team on Azure OpenAI | Buying AI-assisted engineering capacity on a subscription, Large LatAm-based teams for media and entertainment companies |
| Typical project type | Dedicated team | Dedicated team |
Simform vs Globant: pros and cons
| Simform | |
|---|---|
| + | Strong fit for Microsoft-stack companies |
| + | Pre-vetted bench shortens the search for common roles |
| + | India delivery keeps monthly costs lower than nearshore options |
| - | Little working-hour overlap with U.S. teams |
| - | AI is one service among many |
| - | Partner status should be confirmed in Microsoft's directory |
| 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 Simform?
A typical fit: adding Azure ML engineers to an enterprise data team.
Azure-centered AI engineering at India delivery rates. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Healthcare, Fintech, Logistics.
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: Simform 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 | Simform |
| Your budget is at the lower end | Compare: Simform (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: Simform vs Globant
| Use case | Simform fit | Globant fit | Winner |
|---|---|---|---|
| Adding Azure ML engineers to an enterprise data team | Strong | Limited | Simform |
| Building a dedicated agent-development team on Azure OpenAI | Strong | Limited | Simform |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: Simform vs Globant
Simform (4.1/5) is the stronger overall choice for most AI Staffing projects. Azure-centered AI engineering at India delivery rates.
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
Simform vs Globant FAQ
Is Simform better than Globant?
Simform (4.1/5) scores higher overall, but "better" depends on your use case. Simform's strongest advantage: strong fit for Microsoft-stack companies. Globant's strongest advantage: novel pricing model tied to delivered output.
How do Simform and Globant differ in pricing?
Simform uses dedicated team; time and materials; 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: Simform or Globant?
Simform 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 Simform and Globant?
Simform's primary differentiator is: azure-centered AI engineering at India delivery rates. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (800–1,300 vs 28,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (SaaS, Healthcare vs Media, Fintech).
Verify all details directly with each agency before making a decision.