Addepto vs Globant: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Globant (4.1/5) overall. Addepto is the better choice for manufacturers connecting AI to engineering data. Globant is the stronger option for buyers wanting subscription pricing on AI delivery. 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 (founded in Buenos Aires) |
| Team size | 50–249 | 28,500+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Integration work with industrial systems such as SCADA, CAD, and PLM | AI Pods priced by output or consumption instead of hours |
| Pricing model | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) | Subscription AI Pods, time & materials, and managed services; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure OpenAI, Snowflake | Azure OpenAI, AWS Bedrock, Salesforce |
| Industries served | Manufacturing, Energy, Logistics, Retail & e-commerce | Media, Retail & e-commerce, Financial services, Healthcare |
Addepto vs Globant: overview
Addepto
Addepto was founded in Warsaw in 2018 and employs 50–100 people according to most directories (Clutch shows 50–249). KMS Technology acquired it in December 2025, and it continues as an independent subsidiary. Its focus is unusual. The integration work leans toward industrial and engineering data, connecting AI to supervisory control (SCADA), computer-aided design (CAD), and product lifecycle management (PLM) systems alongside more common document and analytics projects. Clutch lists a $10,000 minimum and a $50–$99 hourly band, one of the more accessible entry points on this list.
Globant
Globant was founded in Buenos Aires in 2003, is now legally headquartered in Luxembourg, and employs more than 28,500 people in over 30 countries. Its notable pricing change is the AI Pods model: clients subscribe to AI-assisted delivery units and pay for output or consumption rather than staff hours. Glob.AI annual recurring revenue reached $52.8 million in Q2 2026. The company cut its 2026 revenue forecast that quarter, citing slower North American decisions.
Services and capabilities: Addepto vs Globant
| Capability | Addepto | Globant |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✗ |
| Document processing | ✓ | ✗ |
| Conversational AI | ✗ | ✓ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✓ |
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 | ✓ | ✓ |
| Databricks | ✓ | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | 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 | Time & materials, Managed services, 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, Energy, Logistics | Media, Retail & e-commerce, Financial services |
| Best use cases | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history | Ongoing AI feature delivery on a monthly subscription, Customer-experience agents for media and retail brands |
| Typical project type | Fixed-scope project | Time & materials |
Addepto vs Globant: pros and cons
| Addepto | |
|---|---|
| + | The $10K Clutch minimum lets small teams test an integration without a large commitment. |
| + | Experience with plant and engineering systems most AI vendors don't touch. |
| + | Clutch reviews average close to 4.9. |
| + | Data engineering and AI are scoped by the same team. |
| - | Acquired by KMS Technology in December 2025; long-term pricing and branding may change |
| - | Headcount varies a lot between directories |
| - | No managed-service offer for running systems after launch |
| Globant | |
|---|---|
| + | Subscription pricing changes the cost conversation away from hourly rates. |
| + | Large nearshore bench in Latin America with U.S. time-zone overlap. |
| + | Strong media and entertainment portfolio. |
| + | Public reporting on Glob.AI revenue. |
| - | Lowered 2026 revenue guidance signals pressure on the business |
| - | Subscription pods are new, with limited public results to judge |
| - | Too large a commitment for a single-system integration |
Who should choose Addepto?
A typical fit: search across CAD and PLM records with an LLM front end.
Integration work with industrial systems such as SCADA, CAD, and PLM. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Energy, Logistics, Retail & e-commerce.
Who should choose Globant?
A typical fit: ongoing AI feature delivery on a monthly subscription.
AI Pods priced by output or consumption instead of hours. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail & e-commerce, Financial services, Healthcare.
Decision matrix: Addepto vs Globant
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Globant |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Globant (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Check each profile; neither lists CRM or ERP work |
| You need multi-step agents acting across systems | Globant |
| You need a large team for a multi-year program | Globant |
Use case fit: Addepto vs Globant
| Use case | Addepto fit | Globant fit | Winner |
|---|---|---|---|
| Search across CAD and PLM records with an LLM front end | Strong | Limited | Addepto |
| Predictive maintenance from SCADA sensor history | Strong | Limited | Addepto |
| Ongoing AI feature delivery on a monthly subscription | Limited | Strong | Globant |
| Customer-experience agents for media and retail brands | Limited | Strong | Globant |
Verdict: Addepto vs Globant
Addepto (4.3/5) is the stronger overall choice for most AI Integration Services projects. Integration work with industrial systems such as SCADA, CAD, and PLM.
Globant (4.1/5) is worth a look if you need customer-experience agents for media and retail brands. 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: the $10K Clutch minimum lets small teams test an integration without a large commitment. Globant's strongest advantage: subscription pricing changes the cost conversation away from hourly rates.
How do Addepto and Globant differ in pricing?
Addepto's pricing: fixed-scope projects and time & materials; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). Globant's pricing: subscription AI Pods, time & materials, and managed services; rates on request. 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: integration work with industrial systems such as SCADA, CAD, and PLM. Globant's primary differentiator is: AI Pods priced by output or consumption instead of hours. They also differ in team size (50–249 vs 28,500+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Energy vs Media, Retail & e-commerce).
Verify all details directly with each provider before making a decision.