Addepto vs Master of Code Global: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of Master of Code Global (4.1/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Master of Code Global is the stronger option for enterprise brands that need chat or voice AI experiences built by a firm with two decades of conversational-AI focus.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Master of Code Global: head-to-head summary
| Criterion | Addepto | Master of Code Global |
|---|---|---|
| Founded | 2018 | 2004 |
| HQ | Warsaw, Poland | Redwood City, California, United States |
| Team size | 50–100 | 200–250 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Enterprise brands that need chat or voice AI experiences built by a firm with two decades of conversational-AI focus. |
| Pricing model | Project-based, consulting retainer | Project-based, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | LangChain, OpenAI API, Python |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | Retail & E-commerce, Telecom, FinTech, Media & Entertainment |
Addepto vs Master of Code Global: overview
Addepto
Addepto was founded in Warsaw in 2018 by Data Science enthusiasts Edwin Lisowski and Artur Haponik, delivering AI consulting and data-driven solutions recognized by Forbes, Deloitte, and the Financial Times. In December 2025, Addepto was acquired by KMS Technology, and prospective clients should confirm how delivery teams, pricing, and leadership continuity have changed post-acquisition. Reported employee counts vary from roughly 11–50 to 72, reflecting the transition period around the acquisition.
Master of Code Global
Master of Code Global was founded in 2004 and has grown under CEO Dmitry Gritsenko to roughly 200–250 professionals, with headquarters listed in both Winnipeg, Canada and Redwood City, California. The company specializes in enterprise-grade chat and voice AI solutions, reporting more than 1,000 completed projects for clients including T-Mobile, Burberry, Tom Ford, and Dr. Oetker (per company website; independently unverifiable claim of '1 billion+ users'). Its focus on AI development, AI agents, AI consulting, and generative AI (a combined 85% of stated service mix) makes it one of the more conversational-AI-concentrated firms in this list.
Services and capabilities: Addepto vs Master of Code Global
| Capability | Addepto | Master of Code Global |
|---|---|---|
| Custom ML Models | ✓ | ✗ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
Tech stack comparison: Addepto vs Master of Code Global
| Framework / platform | Addepto | Master of Code Global |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Addepto vs Master of Code Global
| Criterion | Addepto | Master of Code Global |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Project-based, Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs Master of Code Global
| Dimension | Addepto | Master of Code Global |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | Retail & E-commerce, Telecom, FinTech |
| Best use cases | Company wants an AI consultancy with independent press recognition for vendor due diligence., Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Enterprise retail or telecom brand needs a chatbot or voice AI experience built by a specialist., Company wants a vendor with named, verifiable enterprise client references for procurement. |
| Typical project type | Project-based | Project-based |
Addepto vs Master of Code Global: pros and cons
| Addepto | |
|---|---|
| + | Press recognition from Forbes, Deloitte, and the Financial Times provides independent third-party validation beyond client testimonials. |
| + | Founder-led AI consulting model since 2018, prior to being acquired. |
| + | Now backed by KMS Technology's broader resources post-acquisition, which may add delivery capacity. |
| - | Acquired by KMS Technology in December 2025 — leadership continuity, pricing, and delivery-team stability during integration are unconfirmed. |
| - | Reported headcount varies significantly across sources (11–50 vs. 72), making current team size hard to pin down. |
| - | Recent acquisition means the company's standalone track record may not reflect how engagements are run going forward. |
| Master of Code Global | |
|---|---|
| + | Named enterprise clients (T-Mobile, Burberry, Tom Ford, Dr. Oetker) provide verifiable, non-anonymized proof points. |
| + | 20 years of company history (since 2004), with a specific and consistent focus on conversational AI rather than pivoting service lines yearly. |
| + | 1,000+ completed projects gives the firm a large delivery pattern library for chat/voice use cases. |
| + | 200–250 team size is large enough for enterprise brand engagements but still small enough for direct account access. |
| - | "1 billion+ users" figure is a company claim without independent verification. |
| - | Conversational AI concentration (chat/voice) means less depth in computer vision or predictive analytics relative to broader ML firms. |
Who should choose Addepto?
Addepto is the right choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Retail & E-commerce.
Who should choose Master of Code Global?
Master of Code Global is the right choice for enterprise brands that need chat or voice AI experiences built by a firm with two decades of conversational-AI focus..
20-year specialization in enterprise chat and voice AI, with named enterprise clients like T-Mobile and Burberry.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Telecom, FinTech, Media & Entertainment.
Decision matrix: Addepto vs Master of Code Global
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Master of Code Global |
| Your budget is at the lower end | Compare: Addepto (Not published) vs Master of Code Global (Not published) |
| You need specialist depth in a specific vertical | Master of Code Global |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs Master of Code Global
| Use case | Addepto fit | Master of Code Global fit | Winner |
|---|---|---|---|
| Company wants an AI consultancy with independent press recognition for vendor due diligence. | Strong | Strong | Both equally |
| Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Strong | Strong | Both equally |
| Enterprise retail or telecom brand needs a chatbot or voice AI experience built by a specialist. | Limited | Strong | Master of Code Global |
| Company wants a vendor with named, verifiable enterprise client references for procurement. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs Master of Code Global
Addepto (4.3/5) is the stronger overall choice for most Machine Learning Development projects. AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. It is best for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
Master of Code Global (4.1/5) is the better choice when enterprise brands that need chat or voice AI experiences built by a firm with two decades of conversational-AI focus.. If your situation matches those criteria, Master of Code Global is a competitive option.
Related comparisons
Addepto vs Master of Code Global FAQ
Is Addepto better than Master of Code Global?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Master of Code Global is better for enterprise brands that need chat or voice AI experiences built by a firm with two decades of conversational-AI focus..
How do Addepto and Master of Code Global differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. Master of Code Global uses project-based, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Addepto or Master of Code Global?
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 company before shortlisting.
What are the main differences between Addepto and Master of Code Global?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. Master of Code Global's primary differentiator is: 20-year specialization in enterprise chat and voice ai, with named enterprise clients like t-mobile and burberry.. They also differ in team size (50–100 vs 200–250), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs Retail & E-commerce, Telecom).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.