EPAM Systems vs InData Labs: full comparison for 2026
Quick verdict
EPAM Systems (4.3/5) edges ahead of InData Labs (4.1/5) overall. EPAM Systems is the better choice for large enterprises with Salesforce and SAP estates. InData Labs is the stronger option for mid-size firms needing forecasting and data science. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs InData Labs: head-to-head summary
| Criterion | EPAM Systems | InData Labs |
|---|---|---|
| Founded | 1993 | 2014 |
| HQ | Newtown, PA, USA | Nicosia, Cyprus |
| Team size | 60,000+ | 50–249 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | Data-science-led team that builds predictive models alongside generative features |
| Pricing model | T&M, dedicated teams and fixed-scope programmes; rates on request | Fixed-price and T&M; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, SAP, Azure OpenAI | Python, Azure OpenAI, AWS Bedrock |
| Industries served | Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing | Retail & e-commerce, Healthcare, Financial services, Logistics |
EPAM Systems vs InData Labs: 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.
InData Labs
InData Labs is a data science and AI company founded in 2014 and headquartered in Nicosia, Cyprus, with offices in Vilnius and Miami. Clutch lists 50–249 employees, and the firm says it has delivered 150+ projects since 2014 (per company website; independently unverifiable). Clutch shows AI development as more than half of its work, followed by BI and big data consulting. Reviewers praise its data science skill and mention slower proposal and planning cycles.
Services and capabilities: EPAM Systems vs InData Labs
| Capability | EPAM Systems | InData Labs |
|---|---|---|
| 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 InData Labs
| Framework / platform | EPAM Systems | InData Labs |
|---|---|---|
| Salesforce | ✓ | N/A |
| 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 InData Labs
| Criterion | EPAM Systems | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Time & materials, Dedicated team | Fixed project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs InData Labs
| Dimension | EPAM Systems | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare & life sciences, Retail | Retail & e-commerce, Healthcare, Financial services |
| Best use cases | Agentforce and service-agent features across a large Salesforce estate., AI features in SAP Commerce storefronts and order flows. | Churn or demand models that feed a BI dashboard., Document extraction for invoices and receipts. |
| Typical project type | Fixed project | Fixed project |
EPAM Systems vs InData Labs: 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 |
| InData Labs | |
|---|---|
| + | Long track record in classical data science as well as LLM work |
| + | EU-registered company with Lithuanian delivery |
| + | Strong Clutch reviews on technical quality |
| - | Reviewers note slower proposals and planning |
| - | Limited published integration work inside large CRM or ERP suites |
| - | Headcount estimates vary widely between directories |
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 InData Labs?
A typical fit: churn or demand models that feed a BI dashboard.
Data-science-led team that builds predictive models alongside generative features. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Financial services, Logistics.
Decision matrix: EPAM Systems vs InData Labs
| 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 InData Labs (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: EPAM Systems vs InData Labs
| Use case | EPAM Systems fit | InData Labs 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 | Limited | EPAM Systems |
| Churn or demand models that feed a BI dashboard. | Limited | Strong | InData Labs |
| Document extraction for invoices and receipts. | Limited | Strong | InData Labs |
Verdict: EPAM Systems vs InData Labs
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.
InData Labs (4.1/5) is worth a look if you need document extraction for invoices and receipts. If your situation matches that, InData Labs is a competitive option.
Related comparisons
EPAM Systems vs InData Labs FAQ
Is EPAM Systems better than InData Labs?
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. InData Labs's strongest advantage: long track record in classical data science as well as LLM work.
How do EPAM Systems and InData Labs differ in pricing?
EPAM Systems pricing: T&M, dedicated teams and fixed-scope programmes; rates on request. InData Labs pricing: Fixed-price and 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 InData Labs?
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 InData Labs?
EPAM Systems's primary differentiator is: engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. InData Labs's primary differentiator is: data-science-led team that builds predictive models alongside generative features. They also differ in team size (60,000+ vs 50–249), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare & life sciences vs Retail & e-commerce, Healthcare).
Verify all details directly with each company before making a decision.