Addepto vs Globant: full comparison for 2026
Quick verdict
Addepto (4.2/5) edges ahead of Globant (4.0/5) overall. Addepto is the better choice for mid-size firms wanting tested LLM apps cheaply. Globant is the stronger option for US firms wanting nearshore AI engineering. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
Addepto vs Globant: head-to-head summary
| Criterion | Addepto | Globant |
|---|---|---|
| Founded | 2017 | 2003 |
| HQ | Warsaw, Poland | Luxembourg (operations: Buenos Aires) |
| Team size | 50–249 | 28,500+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point | Nearshore Latin American engineering teams in US time zones |
| Pricing model | Project-based; $50–$99/hr (Clutch band) | Time & materials and dedicated teams; rates not published |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure, AWS | Google Cloud, AWS, Azure |
| Industries served | Manufacturing, Aviation, Logistics, Retail, Financial services | Media, Retail, Financial services, Travel, Healthcare |
Addepto vs Globant: overview
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta engineering company backed by Sunstone Partners. It built ContextCheck, an open-source framework for testing language models and chatbots, which says something about how it approaches quality before release. Its chief executive says 97% of staff are AI engineers (per company website; independently unverifiable). Clutch lists $50–$99 an hour and a $10,000+ minimum project.
Globant
Globant was founded in 2003 in Buenos Aires, is legally domiciled in Luxembourg, and employs more than 28,500 people. It is listed on the New York Stock Exchange. Its AI work runs through studios that combine design and engineering, with nearshore delivery that keeps time zones close for US clients. Production AI usually comes inside a wider digital product program.
Services and capabilities: Addepto vs Globant
| Capability | Addepto | Globant |
|---|---|---|
| LLM gateway & model routing | ✗ | ✗ |
| Regression tests on prompt and model changes | ✓ | ✗ |
| Canary or staged rollout | ✗ | ✗ |
| Hallucination and drift monitoring | ✗ | ✗ |
| MLOps & model serving | ✓ | ✗ |
| Fixed-scope pilot | ✗ | ✗ |
| Managed run after launch | ✗ | ✗ |
Tech stack comparison: Addepto vs Globant
| Framework / platform | Addepto | Globant |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| Kubernetes | N/A | N/A |
| MLflow | N/A | N/A |
| Databricks | ✓ | ✓ |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | ✓ | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: Addepto vs Globant
| Criterion | Addepto | Globant |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Globant
| Dimension | Addepto | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Manufacturing, Aviation, Logistics | Media, Retail, Financial services |
| Best use cases | Testing a chatbot or LLM app before release., AI on manufacturing and aviation data. | AI features inside consumer digital products., Nearshore AI engineering teams for US companies. |
| Typical project type | Fixed-scope project | Time & materials |
Addepto vs Globant: pros and cons
| Addepto | |
|---|---|
| + | ContextCheck shows real investment in testing language models |
| + | A $10,000+ Clutch minimum makes a small first project possible |
| + | Databricks experience for data-heavy builds |
| + | Team is almost all engineers |
| - | Acquired by KMS Technology in December 2025, so teams and priorities may change |
| - | No managed-run service listed |
| - | Less depth on staged rollouts than the leaders |
| Globant | |
|---|---|
| + | Nearshore teams share working hours with US clients |
| + | Large design and engineering capacity |
| + | Public company with regular disclosures |
| - | AI is one part of a broad digital business |
| - | Large-firm process for small pilots |
| - | Rates not published |
Who should choose Addepto?
A typical fit: testing a chatbot or LLM app before release.
Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Who should choose Globant?
A typical fit: AI features inside consumer digital products.
Nearshore Latin American engineering teams in US time zones. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail, Financial services, Travel, Healthcare.
Decision matrix: Addepto vs Globant
| Your situation | Recommended choice |
|---|---|
| Your pilot works but nobody trusts it in production yet | Ask each for its release and rollback process |
| Model API spend is growing faster than usage | Neither lists a gateway; ask how cost per feature is tracked |
| You need someone to watch quality after launch | Neither; plan for your own team to monitor it |
| You run classic ML models that need serving and retraining | Addepto |
| You want a priced pilot before a full rollout | Neither advertises one; ask for a scoped quote |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Globant (Not disclosed) |
| You need a large team for many products at once | Globant |
Use case fit: Addepto vs Globant
| Use case | Addepto fit | Globant fit | Winner |
|---|---|---|---|
| Testing a chatbot or LLM app before release. | Strong | Limited | Addepto |
| AI on manufacturing and aviation data. | Strong | Limited | Addepto |
| AI features inside consumer digital products. | Limited | Strong | Globant |
| Nearshore AI engineering teams for US companies. | Limited | Strong | Globant |
Verdict: Addepto vs Globant
Addepto (4.2/5) is the stronger overall choice for most AI Implementation projects. Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point.
Globant (4.0/5) is worth a look if you need nearshore AI engineering teams for US companies. If your situation matches that, Globant is a competitive option.
Related comparisons
Addepto vs Globant FAQ
Is Addepto better than Globant?
Addepto (4.2/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: ContextCheck shows real investment in testing language models. Globant's strongest advantage: nearshore teams share working hours with US clients.
How do Addepto and Globant differ in pricing?
Addepto's pricing: project-based; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). Globant's pricing: time & materials and dedicated teams; rates not published. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Addepto or Globant?
Globant 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 Addepto and Globant?
Addepto's primary differentiator is: open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. Globant's primary differentiator is: nearshore Latin American engineering teams in US time zones. They also differ in team size (50–249 vs 28,500+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Aviation vs Media, Retail).
Verify all details directly with each provider before making a decision.