Addepto vs Belitsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of Belitsoft (3.8/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. Belitsoft is the stronger option for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Belitsoft: head-to-head summary
| Criterion | Addepto | Belitsoft |
|---|---|---|
| Founded | 2018 | 2004 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 50–100 | 400+ |
| Rating | 4.3 / 5 | 3.8 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth. |
| Pricing model | Project-based, consulting retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | Python, .NET, AWS |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | Healthcare, FinTech, SaaS (cross-industry) |
Addepto vs Belitsoft: 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.
Belitsoft
Belitsoft has operated since 2004 and is headquartered in Warsaw, Poland, with more than 400 software developers, testers, project managers, and DevOps staff distributed between Poland, Latvia, and Georgia. The firm's AI/ML specialists design, train, and fine-tune models, while its software engineers integrate those models into client products; for enterprise and Fortune 500 clients, Belitsoft supplies larger teams including data engineers and MLOps engineers for deployment and monitoring. Its core strength — 20+ years of SaaS development experience — makes it a strong integration partner, though its AI-specific brand recognition is thinner than firms that were AI-native from founding.
Services and capabilities: Addepto vs Belitsoft
| Capability | Addepto | Belitsoft |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✓ |
Tech stack comparison: Addepto vs Belitsoft
| Framework / platform | Addepto | Belitsoft |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| 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 Belitsoft
| Criterion | Addepto | Belitsoft |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs Belitsoft
| Dimension | Addepto | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | Healthcare, FinTech, SaaS (cross-industry) |
| 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. | B2B SaaS company needs an AI model integrated into an existing product by a firm with deep SaaS engineering history., Enterprise or Fortune 500 client needs a scalable team including dedicated MLOps and data engineering roles. |
| Typical project type | Project-based | Dedicated team |
Addepto vs Belitsoft: 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. |
| Belitsoft | |
|---|---|
| + | 20 years of continuous SaaS development history (since 2004) gives it strong AI-into-product integration experience. |
| + | Previously featured in Clutch's annual Top 30 enterprise software development firms list. |
| + | Can scale team composition for enterprise/Fortune 500 clients, adding dedicated data engineers and MLOps engineers as needed. |
| + | 400+ distributed staff across Poland, Latvia, and Georgia provides meaningful delivery capacity. |
| - | Company's core brand identity is SaaS/software development rather than AI specifically — AI/ML is an applied capability layered onto that base. |
| - | Less publicly documented AI-specific case-study detail than firms whose primary marketing focus is AI/ML. |
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 Belitsoft?
Belitsoft is the right choice for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth..
20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS.. Minimum engagement starts at Not published. Works best with clients in Healthcare, FinTech, SaaS (cross-industry).
Decision matrix: Addepto vs Belitsoft
| 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 | Belitsoft |
| Your budget is at the lower end | Compare: Addepto (Not published) vs Belitsoft (Not published) |
| You need specialist depth in a specific vertical | Addepto |
| You need production MLOps support after model launch | Belitsoft |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs Belitsoft
| Use case | Addepto fit | Belitsoft 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 |
| B2B SaaS company needs an AI model integrated into an existing product by a firm with deep SaaS engineering history. | Limited | Strong | Belitsoft |
| Enterprise or Fortune 500 client needs a scalable team including dedicated MLOps and data engineering roles. | Limited | Strong | Belitsoft |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs Belitsoft
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..
Belitsoft (3.8/5) is the better choice when companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.. If your situation matches those criteria, Belitsoft is a competitive option.
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Addepto vs Belitsoft FAQ
Is Addepto better than Belitsoft?
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.. Belitsoft is better for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth..
How do Addepto and Belitsoft differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. Belitsoft uses time & materials, 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 Belitsoft?
Addepto 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 Belitsoft?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. Belitsoft's primary differentiator is: 20+ years of dedicated saas product development experience, applied specifically to ai model integration for b2b saas.. They also differ in team size (50–100 vs 400+), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs Healthcare, FinTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.