Addepto vs EPAM Systems: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of EPAM Systems (4.1/5) overall. Addepto is the better choice for manufacturers connecting AI to engineering data. EPAM Systems is the stronger option for enterprises with multi-year engineering budgets. 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 | 61,000+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Integration work with industrial systems such as SCADA, CAD, and PLM | Engineering capacity across Europe, India, and the Americas for long AI programs |
| Pricing model | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) | Time & materials and dedicated teams; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure OpenAI, Snowflake | Azure OpenAI, AWS Bedrock, Databricks |
| Industries served | Manufacturing, Energy, Logistics, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce, Media, Energy |
Addepto vs EPAM Systems: 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.
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with over 61,200 employees at the end of 2025. Acquisitions shaped the recent mix: NEORIS (2024) for Latin America and Iberia, and First Derivative (completed December 2024) for financial-services data. Management targets more than $600 million of AI-native revenue in 2026, after reporting over $105 million in Q4 2025. Its AI/Run tooling and Agentic QA product support large engineering programs more than single-workflow pilots.
Services and capabilities: Addepto vs EPAM Systems
| Capability | Addepto | EPAM Systems |
|---|---|---|
| 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 EPAM Systems
| Framework / platform | Addepto | EPAM Systems |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | ✓ |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Addepto vs EPAM Systems
| Criterion | Addepto | EPAM Systems |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials | Time & materials, Dedicated team, Managed services |
| 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 | Enterprise |
| Best industries | Manufacturing, Energy, Logistics | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history | Large data-platform programs that end in AI features, Agent development across several business units |
| Typical project type | Fixed-scope project | Time & materials |
Addepto vs EPAM Systems: 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 |
| EPAM Systems | |
|---|---|
| + | Engineering depth to staff many workstreams at once. |
| + | Public reporting on AI-native revenue gives a measurable view of the practice. |
| + | First Derivative added capital-markets data skills. |
| + | Agentic QA product addresses testing of AI-generated code. |
| - | Acquisition-driven growth (NEORIS, First Derivative) means teams are still being integrated |
| - | Not built for a small fixed-price pilot |
| - | Management flagged slower organic growth in 2026 guidance |
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 EPAM Systems?
A typical fit: large data-platform programs that end in AI features.
Engineering capacity across Europe, India, and the Americas for long AI programs. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media, Energy.
Decision matrix: Addepto vs EPAM Systems
| 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 | EPAM Systems |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs EPAM Systems (Not disclosed) |
| The AI has to read and write in your CRM or ERP | EPAM Systems |
| You need multi-step agents acting across systems | EPAM Systems |
| You need a large team for a multi-year program | EPAM Systems |
Use case fit: Addepto vs EPAM Systems
| Use case | Addepto fit | EPAM Systems 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 |
| Large data-platform programs that end in AI features | Limited | Strong | EPAM Systems |
| Agent development across several business units | Limited | Strong | EPAM Systems |
Verdict: Addepto vs EPAM Systems
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.
EPAM Systems (4.1/5) is worth a look if you need agent development across several business units. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
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: the $10K Clutch minimum lets small teams test an integration without a large commitment. EPAM Systems's strongest advantage: engineering depth to staff many workstreams at once.
How do Addepto and EPAM Systems 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). EPAM Systems's pricing: time & materials and dedicated teams; 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 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 provider before shortlisting.
What are the main differences between Addepto and EPAM Systems?
Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. They also differ in team size (50–249 vs 61,000+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Energy vs Financial services, Healthcare).
Verify all details directly with each provider before making a decision.