Master of Code Global vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Master of Code Global (4.1/5) edges ahead of Addepto (4.1/5) overall. Master of Code Global is the better choice for companies specifically building conversational AI, chatbot, or generative-AI-driven customer interaction products.. Addepto is the stronger option for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. The right choice depends on your project size, budget, and required tech stack.
Master of Code Global vs Addepto: head-to-head summary
| Criterion | Master of Code Global | Addepto |
|---|---|---|
| Founded | 2004 | 2018 |
| HQ | Redwood City, California, USA | Warsaw, Poland |
| Team size | 201–500 | 51–200 |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Best for | Companies specifically building conversational AI, chatbot, or generative-AI-driven customer interaction products. | Companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition. |
| Pricing model | Fixed project and dedicated team | Fixed project and consulting retainer |
| Min. engagement | $25K | $20K |
| Primary tech stack | Python, Dialogflow, OpenAI API | Python, Scikit-learn, TensorFlow |
| Industries served | Retail, Financial Services, Technology/SaaS, Travel & Hospitality | Financial Services, Retail, Manufacturing |
Master of Code Global vs Addepto: overview
Master of Code Global
Master of Code Global was founded in 2004 and is headquartered in Redwood City, California, with roughly 200–500 'Masters' across five global offices. The company specializes specifically in conversational AI, chatbots, generative AI, and AI consulting, positioning itself as an AI and technology consultancy that moves at 'startup speed' despite two decades of operating history.
Addepto
Addepto is an AI and data consulting company founded in Warsaw, Poland in 2018 by Edwin Lisowski and Artur Haponik (one source lists 2017), specializing in machine learning, artificial intelligence, and business intelligence solutions. Reported headcount is roughly 55–58 employees across Europe, North America, and Asia. In December 2025, Addepto was acquired by KMS Technology; prospective clients should confirm how the acquisition affects team continuity, existing contracts, and service delivery going forward.
Services and capabilities: Master of Code Global vs Addepto
| Capability | Master of Code Global | Addepto |
|---|---|---|
| Custom ML model development | ✗ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✓ | ✗ |
| MLOps & production deployment | ✗ | ✗ |
| Data engineering | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✗ |
Tech stack comparison: Master of Code Global vs Addepto
| Framework / platform | Master of Code Global | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Master of Code Global vs Addepto
| Criterion | Master of Code Global | Addepto |
|---|---|---|
| Minimum engagement | $25K | $20K |
| Engagement models | Fixed project, Dedicated team | Fixed project, Consulting retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Master of Code Global vs Addepto
| Dimension | Master of Code Global | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Financial Services, Technology/SaaS | Financial Services, Retail, Manufacturing |
| Best use cases | Building a customer-facing chatbot or conversational AI assistant, Generative-AI-powered conversation design for retail or travel customer service | Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources, Business intelligence projects that also require a machine learning component |
| Typical project type | Fixed project | Fixed project |
Master of Code Global vs Addepto: pros and cons
| Master of Code Global | |
|---|---|
| + | 21 years of continuous operation with a stable specialization in conversational AI |
| + | 1,000+ projects delivered (per company website) gives one of the higher cited project counts among mid-size firms here |
| + | Narrow specialization in chatbots/conversational AI/Gen AI supports deep domain expertise in that specific niche |
| + | Five global offices support multi-region conversational AI rollouts |
| - | Narrow specialization in conversational AI means it is not the right fit for computer vision, predictive analytics, or non-conversational ML work |
| - | Mid-size team (200–500) limits capacity for very large, multi-workstream programs |
| - | Less breadth across ML subdomains than firms explicitly covering the full ML lifecycle |
| Addepto | |
|---|---|
| + | 7 years of focused AI/BI consulting experience prior to the KMS Technology acquisition |
| + | Small team size historically meant direct founder-level access on engagements |
| + | Multi-continent presence (Europe, North America, Asia) despite a compact headcount |
| + | Acquisition by KMS Technology (Dec 2025) may bring additional delivery resources and stability |
| - | Acquired by KMS Technology in December 2025 — buyers should confirm how this affects team continuity, pricing, and existing contracts before signing |
| - | Public sources disagree on exact founding year (2017 vs. 2018) and employee count (55 vs. 58) |
| - | Post-acquisition integration could change the service delivery model in ways not yet publicly documented |
Who should choose Master of Code Global?
Master of Code Global is the right choice for companies specifically building conversational AI, chatbot, or generative-AI-driven customer interaction products..
Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years.. Minimum engagement starts at $25K. Works best with clients in Retail, Financial Services, Technology/SaaS, Travel & Hospitality.
Who should choose Addepto?
Addepto is the right choice for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology.. Minimum engagement starts at $20K. Works best with clients in Financial Services, Retail, Manufacturing.
Decision matrix: Master of Code Global vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Master of Code Global |
| You need a large dedicated team for an ongoing programme | Master of Code Global |
| Your budget is at the lower end | Addepto |
| You need specialist depth in a specific vertical | Master of Code Global |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Master of Code Global |
Use case fit: Master of Code Global vs Addepto
| Use case | Master of Code Global fit | Addepto fit | Winner |
|---|---|---|---|
| Building a customer-facing chatbot or conversational AI assistant | Strong | Limited | Master of Code Global |
| Generative-AI-powered conversation design for retail or travel customer service | Strong | Limited | Master of Code Global |
| Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources | Limited | Strong | Addepto |
| Business intelligence projects that also require a machine learning component | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Master of Code Global vs Addepto
Master of Code Global (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years.. It is best for companies specifically building conversational AI, chatbot, or generative-AI-driven customer interaction products..
Addepto (4.1/5) is the better choice when companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Master of Code Global vs Addepto FAQ
Is Master of Code Global better than Addepto?
Master of Code Global (4.1/5) scores higher overall, but "better" depends on your use case. Master of Code Global is better for companies specifically building conversational AI, chatbot, or generative-AI-driven customer interaction products.. Addepto is better for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
How do Master of Code Global and Addepto differ in pricing?
Master of Code Global uses fixed project and dedicated team pricing with a minimum engagement of $25K. Addepto uses fixed project and consulting retainer pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Master of Code Global or Addepto?
Master of Code Global is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Master of Code Global and Addepto?
Master of Code Global's primary differentiator is: specialization narrowly focused on conversational ai and chatbots, with 1,000+ projects delivered over 21 years.. Addepto's primary differentiator is: boutique ai/bi consultancy that gained additional scale and resources through its december 2025 acquisition by kms technology.. They also differ in team size (201–500 vs 51–200), minimum engagement ($25K vs $20K), and primary industries served (Retail, Financial Services vs Financial Services, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.