deepsense.ai vs Globant: full comparison for 2026
Quick verdict
deepsense.ai (4.4/5) edges ahead of Globant (4.1/5) overall. deepsense.ai is the better choice for long monthly contracts with employed senior ML engineers. Globant is the stronger option for enterprises that want to buy AI delivery as a subscription instead of paying for hours. 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 (founded in Buenos Aires, Argentina) |
| Team size | 100–200 | 27,000+ |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | Monthly access to about 120 employed AI specialists with production experience | Token-metered AI Pods subscription alongside conventional staffing |
| Pricing model | Team extension billed monthly per engineer; projects quoted separately; rates on request | AI Pods subscription with token-based capacity; conventional teams billed monthly; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, OpenAI, Google Cloud |
| Industries served | Manufacturing, Retail, Healthcare, Financial services, Technology | Media, Financial services, Retail, Travel, Healthcare |
deepsense.ai vs Globant: overview
deepsense.ai
deepsense.ai has worked on AI from Warsaw since 2014 and employs about 120 AI specialists, according to its job listings. You buy its engineers as monthly team extension, alongside or instead of a consulting project, and most of them are employees rather than contractors, which keeps the same person on your work for longer. Its strengths are computer vision, MLOps and LLM systems that have to run in production. There is no public rate card, and staffing gets less marketing attention than its project work.
Globant
Globant was founded in 2003 in Buenos Aires and had about 27,400 employees in mid-2026 after cutting from roughly 30,000. It is here because of how its newest service is bought. AI Pods are agent-driven service units supervised by Globant experts and sold as a subscription with token-based capacity, so you pay for output rather than for engineers' hours. AI Pod annual recurring revenue reached $52.8 million in June 2026, still around 2% of company revenue. Classic staff augmentation remains available, but this is a large generalist, not an AI specialist.
Services and capabilities: deepsense.ai vs Globant
| Capability | deepsense.ai | Globant |
|---|---|---|
| Full-time dedicated engineers | ✓ | ✗ |
| Part-time / fractional experts | ✗ | ✗ |
| Dedicated team | ✓ | ✓ |
| Trial before commitment | ✗ | ✗ |
| Published rates | ✗ | ✗ |
| Direct hire option | ✗ | ✗ |
| Subscription or output-based pricing | ✗ | ✓ |
| Nearshore time-zone overlap | ✗ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| Data engineering | ✗ | ✓ |
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 | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: deepsense.ai vs Globant
| Criterion | deepsense.ai | Globant |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Dedicated team, Project delivery | Subscription, Dedicated team, Project delivery |
| 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, Healthcare | Media, Financial services, Retail |
| Best use cases | Extending a platform team with an MLOps engineer for a year, Adding a computer vision engineer to a quality-inspection product | Testing a subscription model for internal software maintenance, Buying agent-driven QA capacity by the token |
| Typical project type | Full-time dedicated | Subscription |
deepsense.ai vs Globant: pros and cons
| deepsense.ai | |
|---|---|
| + | Mostly employed engineers, so continuity is good |
| + | Can switch between staffing and a delivered project |
| + | Strong computer vision and MLOps depth |
| - | No part-time or trial option published |
| - | No public rates |
| - | About 120 people, so large requests take time |
| Globant | |
|---|---|
| + | A genuinely different way to buy: output capacity, not headcount |
| + | Large Latin American workforce on U.S.-friendly hours |
| + | Publicly listed, with audited reporting on the AI Pods business |
| - | AI Pods are new and only about 2% of revenue |
| - | A generalist where AI is one line among many |
| - | Recent layoffs and a cut to annual guidance in 2026 |
Who should choose deepsense.ai?
A typical fit: extending a platform team with an MLOps engineer for a year.
Monthly access to about 120 employed AI specialists with production experience. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail, Healthcare, Financial services, Technology.
Who should choose Globant?
A typical fit: testing a subscription model for internal software maintenance.
Token-metered AI Pods subscription alongside conventional staffing. Minimum engagement is not publicly disclosed. Works best with clients in Media, Financial services, Retail, Travel, Healthcare.
Decision matrix: deepsense.ai vs Globant
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | deepsense.ai |
| You only need a specialist a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| You need a rate before the first call | Neither publishes rates; ask both for a written rate card |
| Your budget is at the lower end | Compare: deepsense.ai (Not published) vs Globant (Not published) |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
| You want several engineers working as one team | Both; deepsense.ai rates higher overall |
Use case fit: deepsense.ai vs Globant
| Use case | deepsense.ai fit | Globant fit | Winner |
|---|---|---|---|
| Extending a platform team with an MLOps engineer for a year | Strong | Limited | deepsense.ai |
| Adding a computer vision engineer to a quality-inspection product | Strong | Limited | deepsense.ai |
| Testing a subscription model for internal software maintenance | Limited | Strong | Globant |
| Buying agent-driven QA capacity by the token | Limited | Strong | Globant |
Verdict: deepsense.ai vs Globant
deepsense.ai (4.4/5) is the stronger overall choice for most AI Staff Augmentation projects. Monthly access to about 120 employed AI specialists with production experience.
Globant (4.1/5) is worth a look if you need buying agent-driven QA capacity by the token. 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 (4.4/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: mostly employed engineers, so continuity is good. Globant's strongest advantage: a genuinely different way to buy: output capacity, not headcount.
How do deepsense.ai and Globant differ in pricing?
deepsense.ai uses team extension billed monthly per engineer; projects quoted separately; rates on request pricing. Globant uses ai pods subscription with token-based capacity; conventional teams billed monthly; 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 provider before shortlisting.
What are the main differences between deepsense.ai and Globant?
deepsense.ai's primary differentiator is: monthly access to about 120 employed AI specialists with production experience. Globant's primary differentiator is: token-metered AI Pods subscription alongside conventional staffing. They also differ in team size (100–200 vs 27,000+), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Retail vs Media, Financial services).
Verify all details directly with each provider before making a decision.