Edvantis vs DEPT: full comparison for 2026
Last updated: July 2026
Quick verdict
DEPT (4.0/5) edges ahead of Edvantis (3.9/5) overall. DEPT is the better choice for large enterprise brands needing ML-driven marketing personalization at global scale. Edvantis is the stronger option for enterprises wanting an EU-registered vendor with large-scale nearshore ML and software engineering capacity. The right choice depends on your project size, budget, and required tech stack.
Edvantis vs DEPT: head-to-head summary
| Criterion | Edvantis | DEPT |
|---|---|---|
| Founded | 2005 | 2015 |
| HQ | Rzeszow, Poland (delivery centers in Lviv/Kyiv, Ukraine and Berlin, Germany) | Amsterdam, Netherlands |
| Team size | 201–500 | 1000+ |
| Rating | 3.9 / 5 | 4.0 / 5 |
| Best for | Enterprises wanting an EU-registered vendor with large-scale nearshore ML and software engineering capacity | Large enterprise brands needing ML-driven marketing personalization at global scale |
| Pricing model | Dedicated team, staff augmentation, fixed project | Retainer, dedicated team |
| Min. engagement | $25K | $75K |
| Primary tech stack | Python, Java, .NET | Python, GCP, AWS |
| Industries served | Healthcare, Fintech, Enterprise, Telecommunications | Retail, Media, Enterprise, E-commerce |
Edvantis vs DEPT: overview
Edvantis
Edvantis, legally Edvantis Sp. z o.o., founded in 2005, is registered in Rzeszow, Poland, with a further operational hub in Warsaw, Poland and major development centers in Lviv and Kyiv, Ukraine, plus a Berlin, Germany office. The company partners with startups through large enterprises on custom software and machine learning development, employing several hundred professionals across its European locations.
DEPT
DEPT, founded in Amsterdam in 2015, has grown into a global digital agency with over 4,000 digital specialists across more than 30 offices on five continents, backed by the Carlyle Group. DEPT's AI-enabled marketing technology platform, Ada, and its Engineering practice deliver machine learning-driven personalization, growth, and data engineering work for major brands including Google, TikTok, and eBay. As a large, private-equity-backed marketing and engineering agency, ML and AI here sits within a much broader full-service offering rather than being the firm's sole focus.
Services and capabilities: Edvantis vs DEPT
| Capability | Edvantis | DEPT |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✗ |
Tech stack comparison: Edvantis vs DEPT
| Framework / platform | Edvantis | DEPT |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Edvantis vs DEPT
| Criterion | Edvantis | DEPT |
|---|---|---|
| Minimum engagement | $25K | $75K |
| Engagement models | Dedicated team, Staff augmentation, Fixed project | Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Edvantis vs DEPT
| Dimension | Edvantis | DEPT |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Enterprise | Retail, Media, Enterprise |
| Best use cases | Staff augmentation for an in-house ML engineering team, Enterprise custom software with an ML and data component | ML-driven marketing personalization at global brand scale, Enterprise data engineering supporting a large media or retail platform |
| Typical project type | Dedicated team | Retainer |
Edvantis vs DEPT: pros and cons
| Edvantis | |
|---|---|
| + | Two decades of operating history since founding in 2005, with an EU-registered legal entity in Poland |
| + | Substantial delivery scale of several hundred professionals across multiple European countries |
| + | Berlin, Germany office adds Western European client-facing presence |
| + | Established staff augmentation offering for enterprises scaling teams quickly |
| - | Major development centers remain in Lviv and Kyiv, Ukraine, carrying the same operational-continuity considerations as other Ukraine-linked firms |
| - | ML and AI is one practice within a broader custom software development business |
| - | Larger organization size means less boutique-style attention on smaller engagements |
| DEPT | |
|---|---|
| + | Global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list |
| + | Proprietary AI-enabled marketing technology platform, Ada, with proven enterprise brand clients |
| + | Carlyle Group backing provides financial stability for very large, long-term programmes |
| + | Named clients include Google, TikTok, KFC, and eBay, indicating enterprise-grade delivery capacity |
| - | ML and AI sits within a much broader marketing and full-service digital agency offering, not a dedicated ML practice |
| - | High minimum engagement size, inaccessible for startups or small businesses |
| - | Enterprise agency structure means less specialized, boutique-style ML research depth |
Who should choose Edvantis?
Edvantis is the right choice for enterprises wanting an EU-registered vendor with large-scale nearshore ML and software engineering capacity.
EU legal registration in Poland combined with substantial delivery scale across Ukraine and Germany. Minimum engagement starts at $25K. Works best with clients in Healthcare, Fintech, Enterprise, Telecommunications.
Who should choose DEPT?
DEPT is the right choice for large enterprise brands needing ML-driven marketing personalization at global scale.
Proprietary AI marketing platform, Ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list. Minimum engagement starts at $75K. Works best with clients in Retail, Media, Enterprise, E-commerce.
Decision matrix: Edvantis vs DEPT
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Edvantis |
| You need a large dedicated team for an ongoing programme | Edvantis |
| Your budget is at the lower end | Edvantis |
| You need specialist depth in a specific vertical | Edvantis |
| You need staff augmentation or team extension | Edvantis |
| You need consulting before committing to a build | Edvantis |
Use case fit: Edvantis vs DEPT
| Use case | Edvantis fit | DEPT fit | Winner |
|---|---|---|---|
| Staff augmentation for an in-house ML engineering team | Strong | Limited | Edvantis |
| Enterprise custom software with an ML and data component | Strong | Strong | Both equally |
| ML-driven marketing personalization at global brand scale | Limited | Strong | DEPT |
| Enterprise data engineering supporting a large media or retail platform | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | Edvantis |
Verdict: Edvantis vs DEPT
DEPT (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Proprietary AI marketing platform, Ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list. It is best for large enterprise brands needing ML-driven marketing personalization at global scale.
Edvantis (3.9/5) is the better choice when enterprises wanting an EU-registered vendor with large-scale nearshore ML and software engineering capacity. If your situation matches those criteria, Edvantis is a competitive option.
Related comparisons
Edvantis vs DEPT FAQ
Is Edvantis better than DEPT?
DEPT (4.0/5) scores higher overall, but "better" depends on your use case. Edvantis is better for enterprises wanting an EU-registered vendor with large-scale nearshore ML and software engineering capacity. DEPT is better for large enterprise brands needing ML-driven marketing personalization at global scale.
How do Edvantis and DEPT differ in pricing?
Edvantis uses dedicated team, staff augmentation, fixed project pricing with a minimum engagement of $25K. DEPT uses retainer, dedicated team pricing with a minimum engagement of $75K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Edvantis or DEPT?
Edvantis 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 Edvantis and DEPT?
Edvantis's primary differentiator is: eu legal registration in poland combined with substantial delivery scale across ukraine and germany. DEPT's primary differentiator is: proprietary ai marketing platform, ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list. They also differ in team size (201–500 vs 1000+), minimum engagement ($25K vs $75K), and primary industries served (Healthcare, Fintech vs Retail, Media).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.