Neoteric vs DEPT: full comparison for 2026
Last updated: July 2026
Quick verdict
Neoteric (4.3/5) edges ahead of DEPT (4.0/5) overall. Neoteric is the better choice for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product. DEPT is the stronger option for large enterprise brands needing ML-driven marketing personalization at global scale. The right choice depends on your project size, budget, and required tech stack.
Neoteric vs DEPT: head-to-head summary
| Criterion | Neoteric | DEPT |
|---|---|---|
| Founded | 2005 | 2015 |
| HQ | Gdansk, Poland | Amsterdam, Netherlands |
| Team size | 51–200 | 1000+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product | Large enterprise brands needing ML-driven marketing personalization at global scale |
| Pricing model | Fixed project, dedicated team | Retainer, dedicated team |
| Min. engagement | $20K | $75K |
| Primary tech stack | Python, OpenAI API, LangChain | Python, GCP, AWS |
| Industries served | SaaS, Fintech, Healthcare, Enterprise | Retail, Media, Enterprise, E-commerce |
Neoteric vs DEPT: overview
Neoteric
Neoteric was founded in 2005 and is headquartered in Gdansk, Poland, with an additional office in New York. The midsize company specializes in generative AI, AI consulting, and custom software development, helping clients move from AI proof-of-concept to production deployment.
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: Neoteric vs DEPT
| Capability | Neoteric | DEPT |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Neoteric vs DEPT
| Framework / platform | Neoteric | DEPT |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Neoteric vs DEPT
| Criterion | Neoteric | DEPT |
|---|---|---|
| Minimum engagement | $20K | $75K |
| Engagement models | Fixed project, Dedicated team | Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Neoteric vs DEPT
| Dimension | Neoteric | DEPT |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Retail, Media, Enterprise |
| Best use cases | Taking a generative AI proof-of-concept to production, LLM integration into an existing SaaS product | ML-driven marketing personalization at global brand scale, Enterprise data engineering supporting a large media or retail platform |
| Typical project type | Fixed project | Retainer |
Neoteric vs DEPT: pros and cons
| Neoteric | |
|---|---|
| + | Two decades of operating history since founding in 2005 as a Polish software consultancy |
| + | Dedicated generative AI practice, not a bolted-on service line |
| + | New York office provides closer coverage for US-based clients |
| + | Track record spanning both custom software delivery and AI-specific projects |
| - | Broader custom-software heritage means ML and AI is one of several practice areas |
| - | Mid-size team may have longer ramp time for highly specialized ML research work |
| 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 Neoteric?
Neoteric is the right choice for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product.
Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office. Minimum engagement starts at $20K. Works best with clients in SaaS, Fintech, Healthcare, Enterprise.
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: Neoteric vs DEPT
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Neoteric |
| You need a large dedicated team for an ongoing programme | Neoteric |
| Your budget is at the lower end | Neoteric |
| You need specialist depth in a specific vertical | Neoteric |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Neoteric |
Use case fit: Neoteric vs DEPT
| Use case | Neoteric fit | DEPT fit | Winner |
|---|---|---|---|
| Taking a generative AI proof-of-concept to production | Strong | Limited | Neoteric |
| LLM integration into an existing SaaS product | Strong | Limited | Neoteric |
| ML-driven marketing personalization at global brand scale | Limited | Strong | DEPT |
| Enterprise data engineering supporting a large media or retail platform | Limited | Strong | DEPT |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Neoteric vs DEPT
Neoteric (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office. It is best for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product.
DEPT (4.0/5) is the better choice when large enterprise brands needing ML-driven marketing personalization at global scale. If your situation matches those criteria, DEPT is a competitive option.
Related comparisons
Neoteric vs DEPT FAQ
Is Neoteric better than DEPT?
Neoteric (4.3/5) scores higher overall, but "better" depends on your use case. Neoteric is better for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product. DEPT is better for large enterprise brands needing ML-driven marketing personalization at global scale.
How do Neoteric and DEPT differ in pricing?
Neoteric uses fixed project, dedicated team pricing with a minimum engagement of $20K. 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: Neoteric or DEPT?
Neoteric 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 Neoteric and DEPT?
Neoteric's primary differentiator is: two-decade-old polish software house with a dedicated generative ai practice and a us-facing new york office. 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 (51–200 vs 1000+), minimum engagement ($20K vs $75K), and primary industries served (SaaS, Fintech vs Retail, Media).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.