deepsense.ai vs Globant: full comparison for 2026
Quick verdict
deepsense.ai (4.6/5) edges ahead of Globant (3.9/5) overall. deepsense.ai is the better choice for research-heavy ML problems, senior data scientists. 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.
deepsense.ai vs Globant: head-to-head summary
| Criterion | deepsense.ai | Globant |
|---|---|---|
| Founded | 2014 | 2003 |
| HQ | Warsaw, Poland | Luxembourg (operations centered in Buenos Aires) |
| Team size | 100–200 | 28,500 |
| Rating | 4.6 / 5 | 3.9 / 5 |
| Primary differentiator | Research-grade data scientists available as embedded team members | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Time and materials; dedicated team; rates on request | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | PyTorch, TensorFlow, Hugging Face | Claude, OpenAI, Gemini |
| Industries served | Retail and e-commerce, Manufacturing, Healthcare, Fintech | Media, Fintech, Retail, Travel, Healthcare |
deepsense.ai vs Globant: overview
deepsense.ai
deepsense.ai was founded in 2014 in Warsaw, Poland, and keeps a second office in Palo Alto. It is an AI-first company whose work spans generative AI, LLMs, retrieval-augmented generation, MLOps, computer vision and edge AI. Its team-augmentation offer draws on a staff of more than 100 data scientists, data engineers and software engineers, a group that includes Kaggle competition winners and PhD holders (per company website; independently unverifiable). Clutch reviewers describe engineers who integrate with in-house teams and add capacity on strategic projects.
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: 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 SageMaker | ✓ | N/A |
| Azure ML | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: deepsense.ai vs Globant
| Criterion | deepsense.ai | 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: deepsense.ai vs Globant
| Dimension | deepsense.ai | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Manufacturing, Healthcare | Media, Fintech, Retail |
| Best use cases | Embedding a senior data scientist in a product team with a hard modeling problem, Adding computer-vision engineers for an edge-device deployment | Buying AI-assisted engineering capacity on a subscription, Large LatAm-based teams for media and entertainment companies |
| Typical project type | Dedicated team | Dedicated team |
deepsense.ai vs Globant: pros and cons
| deepsense.ai | |
|---|---|
| + | Every engineer comes from a company that has done nothing but applied AI since 2014 |
| + | Unusually deep bench for computer vision and edge deployment |
| + | Can supply data engineers alongside data scientists, so the people building features also get clean data |
| + | Polish base gives EU data-protection familiarity and a few hours of overlap with the U.S. East Coast |
| - | Bench of roughly 100 people limits how many concurrent placements it can take |
| - | Senior research talent is priced accordingly; rates are not published |
| - | Better suited to multi-month engagements than one-off fractional help |
| 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 deepsense.ai?
A typical fit: embedding a senior data scientist in a product team with a hard modeling problem.
Research-grade data scientists available as embedded team members. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Manufacturing, Healthcare, Fintech.
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: deepsense.ai 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 | deepsense.ai |
| Your budget is at the lower end | Compare: deepsense.ai (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: deepsense.ai vs Globant
| Use case | deepsense.ai fit | Globant fit | Winner |
|---|---|---|---|
| Embedding a senior data scientist in a product team with a hard modeling problem | Strong | Limited | deepsense.ai |
| Adding computer-vision engineers for an edge-device deployment | Strong | Limited | deepsense.ai |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: deepsense.ai vs Globant
deepsense.ai (4.6/5) is the stronger overall choice for most AI Staffing projects. Research-grade data scientists available as embedded team members.
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
deepsense.ai vs Globant FAQ
Is deepsense.ai better than Globant?
deepsense.ai (4.6/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: every engineer comes from a company that has done nothing but applied AI since 2014. Globant's strongest advantage: novel pricing model tied to delivered output.
How do deepsense.ai and Globant differ in pricing?
deepsense.ai uses time and materials; dedicated team; 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: 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 agency before shortlisting.
What are the main differences between deepsense.ai and Globant?
deepsense.ai's primary differentiator is: research-grade data scientists available as embedded team members. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (100–200 vs 28,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail and e-commerce, Manufacturing vs Media, Fintech).
Verify all details directly with each agency before making a decision.