Quantiphi vs Globant: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of Globant (4.0/5) overall. Quantiphi is the better choice for google Cloud estates, high-volume document AI. 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.
Quantiphi vs Globant: head-to-head summary
| Criterion | Quantiphi | Globant |
|---|---|---|
| Founded | 2013 | 2003 |
| HQ | Marlborough, MA, USA | Luxembourg (operations: Buenos Aires) |
| Team size | 3,500+ | 28,500+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour |
| Pricing model | Fixed-price and T&M with offshore-weighted rates; rates on request | AI Pod subscriptions plus traditional T&M; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Google Vertex AI, Google Document AI, AWS Bedrock | Globant Enterprise AI, Azure OpenAI, AWS Bedrock |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Media, Financial services, Retail, Travel |
Quantiphi vs Globant: overview
Quantiphi
Quantiphi is an AI-first digital engineering firm founded in 2013, with U.S. headquarters in Marlborough, Massachusetts and most of its delivery staff in India. It employs about 3,500–4,000 people and holds premier-level partnerships with Google Cloud and AWS, plus many partner-of-the-year awards (exact counts differ across its own pages). Document AI, contact-centre AI and data modernization make up much of its published work.
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: Quantiphi vs Globant
| Capability | Quantiphi | 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: 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 | ✓ | N/A |
| Databricks | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| LangChain | N/A | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: Quantiphi vs Globant
| Criterion | Quantiphi | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Time & materials, Dedicated team | Subscription, Time & materials, 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 | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Insurance, Financial services | Media, Financial services, Retail |
| Best use cases | Insurance claims intake with Document AI extraction and human review., Contact-centre AI on Google Cloud for a high-volume support operation. | 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 |
Quantiphi vs Globant: pros and cons
| Quantiphi | |
|---|---|
| + | Rare dual premier status with Google Cloud and AWS |
| + | Mature document AI practice for claims, forms and medical records |
| + | India-weighted delivery keeps blended rates below U.S. consultancies |
| + | Can scale teams quickly for large backlogs |
| - | Award and partner counts vary between its own pages, so confirm current tiers in partner directories |
| - | Offshore-heavy delivery needs strong client-side product ownership |
| - | Less visible work inside Salesforce or SAP |
| 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 Quantiphi?
A typical fit: insurance claims intake with Document AI extraction and human review.
Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. 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: 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: Quantiphi 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: Quantiphi (Not disclosed) 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: Quantiphi vs Globant
| Use case | Quantiphi fit | Globant fit | Winner |
|---|---|---|---|
| Insurance claims intake with Document AI extraction and human review. | Strong | Limited | Quantiphi |
| Contact-centre AI on Google Cloud for a high-volume support operation. | Strong | Limited | Quantiphi |
| 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: Quantiphi vs Globant
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration projects. Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments.
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
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: rare dual premier status with Google Cloud and AWS. Globant's strongest advantage: subscription pricing makes AI capacity easier to budget.
How do Quantiphi and Globant differ in pricing?
Quantiphi pricing: Fixed-price and T&M with offshore-weighted rates; rates on request. 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: 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 company before shortlisting.
What are the main differences between Quantiphi and Globant?
Quantiphi's primary differentiator is: premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. 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 (3,500+ vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Media, Financial services).
Verify all details directly with each company before making a decision.