Top AI Integration Companies

Addepto vs EPAM Systems: full comparison for 2026

Quick verdict

Addepto (4.3/5) edges ahead of EPAM Systems (4.3/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. EPAM Systems is the stronger option for large enterprises with Salesforce and SAP estates. The right choice depends on your project size, budget, and required tech stack.

Addepto vs EPAM Systems: head-to-head summary

Criterion Addepto EPAM Systems
Founded 2018 1993
HQ Warsaw, Poland Newtown, PA, USA
Team size 50–249 60,000+
Rating 4.3 / 5 4.3 / 5
Primary differentiator Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic
Pricing model $50–$99/hr (Clutch band); discovery workshops, then T&M T&M, dedicated teams and fixed-scope programmes; rates on request
Min. engagement $10,000+ (Clutch) Not disclosed
Primary tech stack Databricks, Snowflake, Azure OpenAI Salesforce, SAP, Azure OpenAI
Industries served Manufacturing, Retail & e-commerce, Aviation, Financial services Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing

Addepto vs EPAM Systems: 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.

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.

Services and capabilities: Addepto vs EPAM Systems

Capability Addepto EPAM Systems
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 EPAM Systems

Framework / platform Addepto EPAM Systems
Salesforce N/A ✓
SAP 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 EPAM Systems

Criterion Addepto EPAM Systems
Minimum engagement $10,000+ (Clutch) Not disclosed
Engagement models Fixed project, Time & materials Fixed project, Time & materials, Dedicated team
Rate transparency Minimum disclosed Not public
Price tier Accessible Mid-market

Target audience comparison: Addepto vs EPAM Systems

Dimension Addepto EPAM Systems
Best company size Startup to mid-market Startup to mid-market
Best industries Manufacturing, Retail & e-commerce, Aviation Financial services, Healthcare & life sciences, Retail
Best use cases Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. Agentforce and service-agent features across a large Salesforce estate., AI features in SAP Commerce storefronts and order flows.
Typical project type Fixed project Fixed project

Addepto vs EPAM Systems: 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
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

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 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.

Decision matrix: Addepto vs EPAM Systems

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: Addepto ($10,000+ (Clutch)) vs EPAM Systems (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 EPAM Systems

Use case fit: Addepto vs EPAM Systems

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

Verdict: Addepto vs EPAM Systems

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.

EPAM Systems (4.3/5) is worth a look if you need AI features in SAP Commerce storefronts and order flows. If your situation matches that, EPAM Systems is a competitive option.

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Addepto vs EPAM Systems FAQ

Is Addepto better than EPAM Systems?

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. EPAM Systems's strongest advantage: thousands of certified Salesforce staff and a dedicated SAP Commerce bench.

How do Addepto and EPAM Systems differ in pricing?

Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). EPAM Systems pricing: T&M, dedicated teams and fixed-scope programmes; 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 EPAM Systems?

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 Addepto and EPAM Systems?

Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. EPAM Systems's primary differentiator is: engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. They also differ in team size (50–249 vs 60,000+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Retail & e-commerce vs Financial services, Healthcare & life sciences).

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