Globant vs InData Labs: full comparison for 2026
Quick verdict
Globant (4.1/5) edges ahead of InData Labs (4.0/5) overall. Globant is the better choice for enterprises that want to buy AI delivery as a subscription instead of paying for hours. InData Labs is the stronger option for a small dedicated computer vision or NLP team rather than one person. The right choice depends on your project size, budget, and required tech stack.
Globant vs InData Labs: head-to-head summary
| Criterion | Globant | InData Labs |
|---|---|---|
| Founded | 2003 | 2014 |
| HQ | Luxembourg (founded in Buenos Aires, Argentina) | Nicosia, Cyprus |
| Team size | 27,000+ | 50–100 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Token-metered AI Pods subscription alongside conventional staffing | Dedicated AI teams with ten years of computer vision and NLP work |
| Pricing model | AI Pods subscription with token-based capacity; conventional teams billed monthly; rates on request | Dedicated team billed monthly; projects from under $50,000 to over $100,000 (Clutch); rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, Google Cloud | Python, PyTorch, OpenCV |
| Industries served | Media, Financial services, Retail, Travel, Healthcare | Retail, Healthcare, Fintech, Media, Manufacturing |
Globant vs InData Labs: overview
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.
InData Labs
InData Labs started in 2014 and is registered in Nicosia, Cyprus, with an office in Singapore and roughly 70 to 80 people. Clutch lists dedicated teams and staff augmentation as core services, and reported project sizes run from under $50,000 to over $100,000. Buyers get a team built around computer vision, NLP or generative AI rather than individual freelancers. It is an AWS partner. Monthly rates, minimums and trial terms are not published.
Services and capabilities: Globant vs InData Labs
| Capability | Globant | InData Labs |
|---|---|---|
| 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: Globant vs InData Labs
| Framework / platform | Globant | InData Labs |
|---|---|---|
| PyTorch | N/A | ✓ |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Globant vs InData Labs
| Criterion | Globant | InData Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Subscription, Dedicated team, Project delivery | Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Globant vs InData Labs
| Dimension | Globant | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media, Financial services, Retail | Retail, Healthcare, Fintech |
| Best use cases | Testing a subscription model for internal software maintenance, Buying agent-driven QA capacity by the token | Buying a three-person computer vision team for a retail app, Adding an NLP team for document processing |
| Typical project type | Subscription | Dedicated team |
Globant vs InData Labs: pros and cons
| 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 |
| InData Labs | |
|---|---|
| + | AI-only company with long computer vision and NLP experience |
| + | Clutch shows typical project sizes |
| + | AWS partner |
| - | No single-engineer or part-time option published |
| - | Small team |
| - | Headquarters listed differently across sources |
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.
Who should choose InData Labs?
A typical fit: buying a three-person computer vision team for a retail app.
Dedicated AI teams with ten years of computer vision and NLP work. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Healthcare, Fintech, Media, Manufacturing.
Decision matrix: Globant vs InData Labs
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Neither lists full-time placements; ask about minimum hours |
| 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: Globant (Not published) vs InData Labs (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; Globant rates higher overall |
Use case fit: Globant vs InData Labs
| Use case | Globant fit | InData Labs fit | Winner |
|---|---|---|---|
| Testing a subscription model for internal software maintenance | Strong | Limited | Globant |
| Buying agent-driven QA capacity by the token | Strong | Strong | Both equally |
| Buying a three-person computer vision team for a retail app | Strong | Strong | Both equally |
| Adding an NLP team for document processing | Limited | Strong | InData Labs |
Verdict: Globant vs InData Labs
Globant (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. Token-metered AI Pods subscription alongside conventional staffing.
InData Labs (4.0/5) is worth a look if you need adding an NLP team for document processing. If your situation matches that, InData Labs is a competitive option.
Related comparisons
Globant vs InData Labs FAQ
Is Globant better than InData Labs?
Globant (4.1/5) scores higher overall, but "better" depends on your use case. Globant's strongest advantage: a genuinely different way to buy: output capacity, not headcount. InData Labs's strongest advantage: AI-only company with long computer vision and NLP experience.
How do Globant and InData Labs differ in pricing?
Globant uses ai pods subscription with token-based capacity; conventional teams billed monthly; rates on request pricing. InData Labs uses dedicated team billed monthly; projects from under $50,000 to over $100,000 (clutch); 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: Globant or InData Labs?
InData Labs 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 Globant and InData Labs?
Globant's primary differentiator is: token-metered AI Pods subscription alongside conventional staffing. InData Labs's primary differentiator is: dedicated AI teams with ten years of computer vision and NLP work. They also differ in team size (27,000+ vs 50–100), minimum engagement (Not published vs Not published), and primary industries served (Media, Financial services vs Retail, Healthcare).
Verify all details directly with each provider before making a decision.