Kineo.ai vs DEPT: full comparison for 2026
Last updated: July 2026
Quick verdict
Kineo.ai (4.6/5) edges ahead of DEPT (4.0/5) overall. Kineo.ai is the better choice for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project. 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.
Kineo.ai vs DEPT: head-to-head summary
| Criterion | Kineo.ai | DEPT |
|---|---|---|
| Founded | 2020 | 2015 |
| HQ | Berlin, Germany | Amsterdam, Netherlands |
| Team size | 11–50 | 1000+ |
| Rating | 4.6 / 5 | 4.0 / 5 |
| Best for | Mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project | Large enterprise brands needing ML-driven marketing personalization at global scale |
| Pricing model | Fixed project, consulting retainer | Retainer, dedicated team |
| Min. engagement | $20K | $75K |
| Primary tech stack | Python, Scikit-learn, Azure | Python, GCP, AWS |
| Industries served | Manufacturing, Logistics, Retail, Financial Services | Retail, Media, Enterprise, E-commerce |
Kineo.ai vs DEPT: overview
Kineo.ai
Kineo.ai is a Berlin-headquartered AI consulting firm founded in 2020. With a team of 11 to 50 employees based entirely in Germany, Kineo partners with businesses to identify and implement customized AI and ML projects aimed at improving operational efficiency. As a younger boutique, its public track record is shorter than more established German AI consultancies.
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: Kineo.ai vs DEPT
| Capability | Kineo.ai | DEPT |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Kineo.ai vs DEPT
| Framework / platform | Kineo.ai | DEPT |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Kineo.ai vs DEPT
| Criterion | Kineo.ai | DEPT |
|---|---|---|
| Minimum engagement | $20K | $75K |
| Engagement models | Fixed project, Retainer | Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Kineo.ai vs DEPT
| Dimension | Kineo.ai | DEPT |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Logistics, Retail | Retail, Media, Enterprise |
| Best use cases | Operational efficiency AI audits, Predictive analytics for logistics scheduling | ML-driven marketing personalization at global brand scale, Enterprise data engineering supporting a large media or retail platform |
| Typical project type | Fixed project | Retainer |
Kineo.ai vs DEPT: pros and cons
| Kineo.ai | |
|---|---|
| + | Fully Germany-based team, useful for clients requiring EU-only data handling |
| + | Focused specifically on operational-efficiency AI use cases rather than broad generalist scope |
| + | Lean boutique structure enables direct access to senior consultants |
| - | Founded in 2020, so has a shorter track record than established German AI consultancies |
| - | Small team size (11–50) limits capacity for large multi-workstream programmes |
| - | Fewer public named case studies available for independent verification |
| 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 Kineo.ai?
Kineo.ai is the right choice for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project.
All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases. Minimum engagement starts at $20K. Works best with clients in Manufacturing, Logistics, Retail, Financial Services.
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: Kineo.ai vs DEPT
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Kineo.ai |
| You need a large dedicated team for an ongoing programme | DEPT |
| Your budget is at the lower end | Kineo.ai |
| You need specialist depth in a specific vertical | Kineo.ai |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Kineo.ai |
Use case fit: Kineo.ai vs DEPT
| Use case | Kineo.ai fit | DEPT fit | Winner |
|---|---|---|---|
| Operational efficiency AI audits | Strong | Limited | Kineo.ai |
| Predictive analytics for logistics scheduling | Strong | Limited | Kineo.ai |
| 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: Kineo.ai vs DEPT
Kineo.ai (4.6/5) is the stronger overall choice for most Machine Learning Development projects. All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases. It is best for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project.
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
Kineo.ai vs DEPT FAQ
Is Kineo.ai better than DEPT?
Kineo.ai (4.6/5) scores higher overall, but "better" depends on your use case. Kineo.ai is better for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project. DEPT is better for large enterprise brands needing ML-driven marketing personalization at global scale.
How do Kineo.ai and DEPT differ in pricing?
Kineo.ai uses fixed project, consulting retainer 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: Kineo.ai or DEPT?
Kineo.ai 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 Kineo.ai and DEPT?
Kineo.ai's primary differentiator is: all-germany team of ai consultants focused specifically on operational-efficiency ml use cases. 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 (11–50 vs 1000+), minimum engagement ($20K vs $75K), and primary industries served (Manufacturing, Logistics vs Retail, Media).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.