Quantiphi vs Globant: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of Globant (4.1/5) overall. Quantiphi is the better choice for large document-heavy programs on Google Cloud or AWS. 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.
Quantiphi vs Globant: head-to-head summary
| Criterion | Quantiphi | Globant |
|---|---|---|
| Founded | 2013 | 2003 |
| HQ | Marlborough, MA, USA | Luxembourg (founded in Buenos Aires) |
| Team size | 3,500+ | 28,500+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Partner-of-the-year history with both Google Cloud and AWS on AI work | AI Pods priced by output or consumption instead of hours |
| Pricing model | Fixed-scope projects, time & materials, and dedicated teams; rates on request | Subscription AI Pods, time & materials, and managed services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Vertex AI, AWS Bedrock, Snowflake | Azure OpenAI, AWS Bedrock, Salesforce |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Media, Retail & e-commerce, Financial services, Healthcare |
Quantiphi vs Globant: overview
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and employs over 3,500 people, most of them in India. It reports 21 Google Cloud Partner of the Year awards over ten years and three AWS AI/ML Partner of the Year awards (per company materials; independently unverifiable). Document AI, contact-center AI, and healthcare and insurance workflows make up much of its integration work. Its size lets it staff large programs while still working only on AI and data.
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: Quantiphi vs Globant
| Capability | Quantiphi | 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: Quantiphi vs Globant
| Framework / platform | Quantiphi | 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 | N/A |
| BigQuery | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Quantiphi vs Globant
| Criterion | Quantiphi | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Time & materials, Managed services, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs Globant
| Dimension | Quantiphi | Globant |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Healthcare, Insurance, Financial services | Media, Retail & e-commerce, Financial services |
| Best use cases | Claims and medical-record extraction for insurers, Contact-center assistants on Google Cloud | Ongoing AI feature delivery on a monthly subscription, Customer-experience agents for media and retail brands |
| Typical project type | Fixed-scope project | Time & materials |
Quantiphi vs Globant: pros and cons
| Quantiphi | |
|---|---|
| + | Partner depth on two hyperscalers instead of one. |
| + | Document AI and contact-center AI are mature practice areas. |
| + | Enough staff to run several workstreams in parallel. |
| + | A multi-year Google Cloud partnership announced in 2026 covers joint industry solutions. |
| - | Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial |
| - | Fixed-price pilots aren't advertised as a standard entry point |
| - | Award counts come from the company itself |
| 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 Quantiphi?
A typical fit: claims and medical-record extraction for insurers.
Partner-of-the-year history with both Google Cloud and AWS on AI work. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
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: Quantiphi 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: Quantiphi (Not disclosed) 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: Quantiphi vs Globant
| Use case | Quantiphi fit | Globant fit | Winner |
|---|---|---|---|
| Claims and medical-record extraction for insurers | Strong | Limited | Quantiphi |
| Contact-center assistants on Google Cloud | Strong | Limited | Quantiphi |
| Ongoing AI feature delivery on a monthly subscription | Limited | Strong | Globant |
| Customer-experience agents for media and retail brands | Limited | Strong | Globant |
Verdict: Quantiphi vs Globant
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration Services projects. Partner-of-the-year history with both Google Cloud and AWS on AI work.
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
Quantiphi vs Globant FAQ
Is Quantiphi better than Globant?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: partner depth on two hyperscalers instead of one. Globant's strongest advantage: subscription pricing changes the cost conversation away from hourly rates.
How do Quantiphi and Globant differ in pricing?
Quantiphi's pricing: fixed-scope projects, time & materials, and dedicated teams; rates on request. 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: Quantiphi 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 Quantiphi and Globant?
Quantiphi's primary differentiator is: partner-of-the-year history with both Google Cloud and AWS on AI work. Globant's primary differentiator is: AI Pods priced by output or consumption instead of hours. They also differ in team size (3,500+ vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Media, Retail & e-commerce).
Verify all details directly with each provider before making a decision.