deepsense.ai vs Globant: full comparison for 2026
Quick verdict
deepsense.ai (4.3/5) edges ahead of Globant (4.1/5) overall. deepsense.ai is the better choice for research-heavy ML problems, computer vision, edge AI. Globant is the stronger option for enterprises wanting AI capacity on a subscription model. The right choice depends on your project size, budget, and required tech stack.
deepsense.ai vs Globant: head-to-head summary
| Criterion | deepsense.ai | Globant |
|---|---|---|
| Founded | 2014 | 2003 |
| HQ | Warsaw, Poland | Luxembourg |
| Team size | 100–200 | 28,000+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench | Subscription-based AI Pods as an alternative to per-engineer billing |
| Pricing model | Time and materials for augmented engineers; project contracts; rates on request | AI Pods monthly subscription with token-based capacity; staff augmentation and SOW contracts; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, OpenAI, Azure ML |
| Industries served | Manufacturing, Retail & e-commerce, Healthcare & life sciences, Financial services, Software & SaaS | Media, Financial services, Travel, Retail & e-commerce, Healthcare & life sciences |
deepsense.ai vs Globant: overview
deepsense.ai
deepsense.ai was founded in 2014, grew out of the AI division of CodiLime, and is headquartered in Warsaw with an office in Palo Alto. Third-party directories put its headcount between roughly 100 and 200 people, and the company says it employs more than 120 AI experts, including Kaggle competition winners and PhD holders. Besides project work in generative AI, MLOps, computer vision and edge AI, it runs a dedicated AI staff augmentation service in which its own engineers extend a client's team.
Globant
Globant was founded in Buenos Aires in 2003 and is now headquartered in Luxembourg. The NYSE-listed company reported 28,773 employees at the end of 2025. In 2025 it launched AI Pods, a monthly subscription for AI-assisted engineering capacity metered by tokens. Third-party reviews say classic staff augmentation runs mainly through Belatrix, a firm Globant acquired, while large accounts usually buy managed pods or statements of work.
Services and capabilities: deepsense.ai vs Globant
| Capability | deepsense.ai | 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: deepsense.ai vs Globant
| Framework / platform | deepsense.ai | Globant |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Databricks | N/A | ✓ |
| MLflow | ✓ | N/A |
| Kubernetes | ✓ | ✓ |
Pricing comparison: deepsense.ai vs Globant
| Criterion | deepsense.ai | Globant |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Managed delivery, Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: deepsense.ai vs Globant
| Dimension | deepsense.ai | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Healthcare & life sciences | Media, Financial services, Travel |
| Best use cases | Adding a computer-vision specialist to a manufacturing quality team, Bringing research depth into a stalled model-accuracy effort | Buying a monthly AI engineering pod for a marketing-tech roadmap, Staffing agent development across several brands |
| Typical project type | Full-time dedicated engineers | Dedicated team |
deepsense.ai vs Globant: pros and cons
| deepsense.ai | |
|---|---|
| + | Every engineer it places comes from an AI-only company |
| + | Strong record in computer vision and edge deployment |
| + | Clutch reviewers describe team-augmentation work with strong engineering skills |
| - | A bench of roughly 120 AI staff limits how many people can start at once |
| - | Polish rates are higher than Ukrainian or Latin American alternatives |
| - | Better suited to hard modeling work than to routine LLM integration |
| Globant | |
|---|---|
| + | AI Pods give finance teams a predictable monthly cost |
| + | Large Latin American delivery footprint on U.S.-friendly hours |
| + | Public-company governance suits procurement-heavy buyers |
| - | Individual staff augmentation is a side channel run largely through the acquired Belatrix business |
| - | Headcount fell about 8% during 2025, according to Bloomberg Línea |
| - | Pod and token-based pricing is hard to compare with per-engineer quotes |
Who should choose deepsense.ai?
A typical fit: adding a computer-vision specialist to a manufacturing quality team.
A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail & e-commerce, Healthcare & life sciences, Financial services, Software & SaaS.
Who should choose Globant?
A typical fit: buying a monthly AI engineering pod for a marketing-tech roadmap.
Subscription-based AI Pods as an alternative to per-engineer billing. Minimum engagement is not publicly disclosed. Works best with clients in Media, Financial services, Travel, Retail & e-commerce, Healthcare & life sciences.
Decision matrix: deepsense.ai vs Globant
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; deepsense.ai rates higher overall |
| You want the supplier to own delivery as well as staffing | Both; deepsense.ai 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: deepsense.ai (Not published) vs Globant (Not published) |
| You need overlap with U.S. working hours | Globant |
| You need specialist depth in a specific vertical | deepsense.ai |
Use case fit: deepsense.ai vs Globant
| Use case | deepsense.ai fit | Globant fit | Winner |
|---|---|---|---|
| Adding a computer-vision specialist to a manufacturing quality team | Strong | Limited | deepsense.ai |
| Bringing research depth into a stalled model-accuracy effort | Strong | Limited | deepsense.ai |
| Buying a monthly AI engineering pod for a marketing-tech roadmap | Limited | Strong | Globant |
| Staffing agent development across several brands | Limited | Strong | Globant |
Verdict: deepsense.ai vs Globant
deepsense.ai (4.3/5) is the stronger overall choice for most AI Staff Augmentation projects. A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench.
Globant (4.1/5) is worth a look if you need staffing agent development across several brands. If your situation matches that, Globant is a competitive option.
Related comparisons
deepsense.ai vs Globant FAQ
Is deepsense.ai better than Globant?
deepsense.ai (4.3/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: every engineer it places comes from an AI-only company. Globant's strongest advantage: AI Pods give finance teams a predictable monthly cost.
How do deepsense.ai and Globant differ in pricing?
deepsense.ai uses time and materials for augmented engineers; project contracts; rates on request pricing. Globant uses ai pods monthly subscription with token-based capacity; staff augmentation and sow contracts; 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: deepsense.ai or Globant?
deepsense.ai 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 deepsense.ai and Globant?
deepsense.ai's primary differentiator is: a pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. Globant's primary differentiator is: subscription-based AI Pods as an alternative to per-engineer billing. They also differ in team size (100–200 vs 28,000+), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Retail & e-commerce vs Media, Financial services).
Verify all details directly with each company before making a decision.