Addepto vs Debut Infotech: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of Debut Infotech (3.9/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Debut Infotech is the stronger option for companies wanting ML development from a firm that also has established blockchain engineering depth.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Debut Infotech: head-to-head summary
| Criterion | Addepto | Debut Infotech |
|---|---|---|
| Founded | 2018 | 2011 |
| HQ | Warsaw, Poland | Palatine, Illinois, United States (delivery: Ahmedabad, India) |
| Team size | 50–100 | 50–120 |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Companies wanting ML development from a firm that also has established blockchain engineering depth. |
| Pricing model | Project-based, consulting retainer | Project-based, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | Python, TensorFlow, AWS |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | FinTech, Retail & E-commerce, Healthcare |
Addepto vs Debut Infotech: 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.
Debut Infotech
Debut Infotech was founded in 2011 and has operated with a blockchain-native focus since 2015, later extending into machine learning model development and AI-powered automation. Reported headquarters vary across sources — including Palatine, Illinois and Ahmedabad, India — reflecting a global delivery network spanning the US, UK, Canada, and India, with a total employee count reported between roughly 50 and 120. As with several firms in this list, its AI/ML services sit alongside a distinct blockchain practice rather than standing as the company's sole focus.
Services and capabilities: Addepto vs Debut Infotech
| Capability | Addepto | Debut Infotech |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Addepto vs Debut Infotech
| Framework / platform | Addepto | Debut Infotech |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Addepto vs Debut Infotech
| Criterion | Addepto | Debut Infotech |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Project-based, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs Debut Infotech
| Dimension | Addepto | Debut Infotech |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | FinTech, Retail & E-commerce, Healthcare |
| 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. | Company building an AI feature with blockchain or Web3 integration needs a single vendor for both., Team wants ML model development from a firm with a global (US/UK/Canada/India) delivery footprint. |
| Typical project type | Project-based | Project-based |
Addepto vs Debut Infotech: 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. |
| Debut Infotech | |
|---|---|
| + | 13+ years of company history (since 2011) with 9+ years of specific blockchain engineering depth (since 2015). |
| + | Global delivery network across US, UK, Canada, and India provides time-zone flexibility. |
| + | Combined blockchain and ML capability suits clients building AI features on decentralized infrastructure. |
| - | Reported headquarters location is inconsistent across sources (Palatine, IL vs. Ahmedabad, India), which is worth clarifying before contracting. |
| - | Reported employee count varies meaningfully (50 vs. 120), and ML-specific headcount within that total is not separately disclosed. |
| - | Blockchain-native heritage means AI/ML is a secondary, more recently added practice rather than the firm's founding specialty. |
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 Debut Infotech?
Debut Infotech is the right choice for companies wanting ML development from a firm that also has established blockchain engineering depth..
Blockchain-native since 2015, combining that engineering discipline with newer machine learning and AI automation services.. Minimum engagement starts at Not published. Works best with clients in FinTech, Retail & E-commerce, Healthcare.
Decision matrix: Addepto vs Debut Infotech
| 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 | Debut Infotech |
| Your budget is at the lower end | Compare: Addepto (Not published) vs Debut Infotech (Not published) |
| You need specialist depth in a specific vertical | Addepto |
| You need production MLOps support after model launch | Debut Infotech |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs Debut Infotech
| Use case | Addepto fit | Debut Infotech 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 |
| Company building an AI feature with blockchain or Web3 integration needs a single vendor for both. | Strong | Strong | Both equally |
| Team wants ML model development from a firm with a global (US/UK/Canada/India) delivery footprint. | Limited | Strong | Debut Infotech |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs Debut Infotech
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..
Debut Infotech (3.9/5) is the better choice when companies wanting ML development from a firm that also has established blockchain engineering depth.. If your situation matches those criteria, Debut Infotech is a competitive option.
Related comparisons
Addepto vs Debut Infotech FAQ
Is Addepto better than Debut Infotech?
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.. Debut Infotech is better for companies wanting ML development from a firm that also has established blockchain engineering depth..
How do Addepto and Debut Infotech differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. Debut Infotech 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 Debut Infotech?
Debut Infotech 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 Debut Infotech?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. Debut Infotech's primary differentiator is: blockchain-native since 2015, combining that engineering discipline with newer machine learning and ai automation services.. They also differ in team size (50–100 vs 50–120), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs FinTech, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.