Addepto vs Globant: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Globant (4.0/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. Globant is the stronger option for firms wanting subscription-priced AI capacity. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Globant: head-to-head summary
| Criterion | Addepto | Globant |
|---|---|---|
| Founded | 2018 | 2003 |
| HQ | Warsaw, Poland | Luxembourg (operations: Buenos Aires) |
| Team size | 50–249 | 28,500+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour |
| Pricing model | $50–$99/hr (Clutch band); discovery workshops, then T&M | AI Pod subscriptions plus traditional T&M; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Snowflake, Azure OpenAI | Globant Enterprise AI, Azure OpenAI, AWS Bedrock |
| Industries served | Manufacturing, Retail & e-commerce, Aviation, Financial services | Media, Financial services, Retail, Travel |
Addepto vs Globant: overview
Addepto
Addepto is a Warsaw-based AI and data consultancy that started trading in April 2018 (some directories list 2017). Clutch shows 50–249 employees, a $50–$99 hourly band and a $10,000 minimum project. CB Insights reports that KMS Technology acquired the company in December 2025, after an earlier tie-up with Grape Up. Its work typically begins with data engineering and moves on to generative AI, MLOps and AI discovery workshops.
Globant
Globant is a NYSE-listed digital engineering company founded in 2003 in Buenos Aires and legally domiciled in Luxembourg, with more than 28,500 employees in over 30 countries. Its AI Pods are subscription units run by AI agents and supervised by human experts, and their annual recurring revenue reached $52.8 million in the second quarter of 2026. Glob.AI, launched in August 2026, sells these pods online and cites partnerships with OpenAI and Anthropic. Globant lowered its 2026 revenue guidance after slower North American decision cycles.
Services and capabilities: Addepto vs Globant
| Capability | Addepto | Globant |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✗ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: Addepto vs Globant
| Framework / platform | Addepto | Globant |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| LangChain | ✓ | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: Addepto vs Globant
| Criterion | Addepto | Globant |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed project, Time & materials | Subscription, 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 | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Aviation | Media, Financial services, Retail |
| Best use cases | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. | Buying AI-agent capacity for content or testing tasks on subscription., Large-scale digital product work with AI features. |
| Typical project type | Fixed project | Subscription |
Addepto vs Globant: pros and cons
| Addepto | |
|---|---|
| + | Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward |
| + | Databricks and Spark experience helps when the data estate is the real blocker |
| + | Discovery workshops scope use cases before larger spend |
| + | Predictive analytics and LLM work available from the same team |
| - | Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change |
| - | Corporate history includes several restructurings, which complicates long-term vendor planning |
| - | Limited published work inside CRM platforms |
| Globant | |
|---|---|
| + | Subscription pricing makes AI capacity easier to budget |
| + | Large Latin American delivery base with U.S. time-zone overlap |
| + | Formal partnerships with major model providers |
| - | The AI Pods model is new and has a short track record |
| - | Guidance cut in 2026 signals financial pressure |
| - | Less evidence of deep CRM or ERP integration work |
Who should choose Addepto?
A typical fit: building a Databricks lakehouse that later feeds demand forecasts and an internal assistant.
Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services.
Who should choose Globant?
A typical fit: buying AI-agent capacity for content or testing tasks on subscription.
Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour. Minimum engagement is not publicly disclosed. Works best with clients in Media, Financial services, Retail, Travel.
Decision matrix: Addepto vs Globant
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | Neither lists CRM/ERP integration work |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Globant (Not disclosed) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | Globant |
Use case fit: Addepto vs Globant
| Use case | Addepto fit | Globant fit | Winner |
|---|---|---|---|
| Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. | Strong | Limited | Addepto |
| Productionizing ML models with MLflow and monitoring. | Strong | Limited | Addepto |
| Buying AI-agent capacity for content or testing tasks on subscription. | Limited | Strong | Globant |
| Large-scale digital product work with AI features. | Limited | Strong | Globant |
Verdict: Addepto vs Globant
Addepto (4.3/5) is the stronger overall choice for most AI Integration projects. Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored.
Globant (4.0/5) is worth a look if you need large-scale digital product work with AI features. If your situation matches that, Globant is a competitive option.
Related comparisons
Addepto vs Globant FAQ
Is Addepto better than Globant?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward. Globant's strongest advantage: subscription pricing makes AI capacity easier to budget.
How do Addepto and Globant differ in pricing?
Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). Globant pricing: AI Pod subscriptions plus traditional T&M; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Addepto or Globant?
Addepto 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 Addepto and Globant?
Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Globant's primary differentiator is: subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour. They also differ in team size (50–249 vs 28,500+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Retail & e-commerce vs Media, Financial services).
Verify all details directly with each company before making a decision.