Top AI Integration Companies

EPAM Systems vs Globant: full comparison for 2026

Quick verdict

EPAM Systems (4.3/5) edges ahead of Globant (4.0/5) overall. EPAM Systems is the better choice for large enterprises with Salesforce and SAP estates. 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.

EPAM Systems vs Globant: head-to-head summary

Criterion EPAM Systems Globant
Founded 1993 2003
HQ Newtown, PA, USA Luxembourg (operations: Buenos Aires)
Team size 60,000+ 28,500+
Rating 4.3 / 5 4.0 / 5
Primary differentiator Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour
Pricing model T&M, dedicated teams and fixed-scope programmes; rates on request AI Pod subscriptions plus traditional T&M; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Salesforce, SAP, Azure OpenAI Globant Enterprise AI, Azure OpenAI, AWS Bedrock
Industries served Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing Media, Financial services, Retail, Travel

EPAM Systems vs Globant: overview

EPAM Systems

EPAM Systems is a NYSE-listed software engineering services company founded in 1993 in Princeton, New Jersey, and now headquartered in Newtown, Pennsylvania, with roughly 62,000 employees in more than 55 countries. It runs large Salesforce and SAP Commerce practices and bought Netherlands-based Just-BI to deepen its SAP consulting. In May 2026 it announced a multi-year partnership with Anthropic and a plan to certify more than 10,000 architects on Claude. Its AI/RUN platform is used to package enterprise deployments.

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: EPAM Systems vs Globant

Capability EPAM Systems 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: EPAM Systems vs Globant

Framework / platform EPAM Systems Globant
Salesforce ✓ ✓
SAP ✓ N/A
Microsoft Dynamics 365 N/A N/A
HubSpot N/A N/A
Snowflake N/A N/A
Databricks N/A N/A
Azure OpenAI ✓ ✓
AWS Bedrock ✓ ✓
LangChain N/A N/A
ServiceNow N/A N/A

Pricing comparison: EPAM Systems vs Globant

Criterion EPAM Systems 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: EPAM Systems vs Globant

Dimension EPAM Systems Globant
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare & life sciences, Retail Media, Financial services, Retail
Best use cases Agentforce and service-agent features across a large Salesforce estate., AI features in SAP Commerce storefronts and order flows. 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

EPAM Systems vs Globant: pros and cons

EPAM Systems
+ Thousands of certified Salesforce staff and a dedicated SAP Commerce bench
+ Formal model-provider partnership gives early access and support for Claude-based builds
+ Engineering rigor suited to complex, multi-system integrations
+ Large nearshore delivery in Central Europe and Latin America
- Scale and account structure favour large, multi-year engagements
- Delivery staff numbers for specific platforms come partly from older announcements
- Advice tends to lead toward EPAM-delivered builds
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 EPAM Systems?

A typical fit: agentforce and service-agent features across a large Salesforce estate.

Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing.

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: EPAM Systems 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 EPAM Systems
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: EPAM Systems (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 Both

Use case fit: EPAM Systems vs Globant

Use case EPAM Systems fit Globant fit Winner
Agentforce and service-agent features across a large Salesforce estate. Strong Limited EPAM Systems
AI features in SAP Commerce storefronts and order flows. Strong Strong Both equally
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: EPAM Systems vs Globant

EPAM Systems (4.3/5) is the stronger overall choice for most AI Integration projects. Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic.

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.

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EPAM Systems vs Globant FAQ

Is EPAM Systems better than Globant?

EPAM Systems (4.3/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: thousands of certified Salesforce staff and a dedicated SAP Commerce bench. Globant's strongest advantage: subscription pricing makes AI capacity easier to budget.

How do EPAM Systems and Globant differ in pricing?

EPAM Systems pricing: T&M, dedicated teams and fixed-scope programmes; 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: EPAM Systems or Globant?

EPAM Systems 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 EPAM Systems and Globant?

EPAM Systems's primary differentiator is: engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. 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 (60,000+ vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare & life sciences vs Media, Financial services).

Verify all details directly with each company before making a decision.