Markovate vs Belitsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
Markovate (4.1/5) edges ahead of Belitsoft (3.8/5) overall. Markovate is the better choice for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. 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.
Markovate vs Belitsoft: head-to-head summary
| Criterion | Markovate | Belitsoft |
|---|---|---|
| Founded | 2015 | 2004 |
| HQ | San Francisco, California, United States | Warsaw, Poland |
| Team size | 50–100 | 400+ |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Best for | Companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM). | 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, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | LangChain, OpenAI API, Python | Python, .NET, AWS |
| Industries served | Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality | Healthcare, FinTech, SaaS (cross-industry) |
Markovate vs Belitsoft: overview
Markovate
Markovate was founded in 2015 and is led by CEO Rajeev Sharma, an AI veteran with 18+ years of experience who previously led AI initiatives at AT&T and IBM. Headquartered with a San Francisco address (some sources cite Toronto as an operating base), the company has grown to roughly 51 employees, including 50+ engineers described as 'certified AI engineers' (per company website), delivering custom AI agents, chatbot development, and cloud services for healthcare, retail, fintech, SaaS, and travel clients. Its small team size makes it a boutique play best suited to scoped generative AI or agent projects rather than large-scale programs.
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: Markovate vs Belitsoft
| Capability | Markovate | Belitsoft |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Markovate vs Belitsoft
| Framework / platform | Markovate | Belitsoft |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs Belitsoft
| Criterion | Markovate | Belitsoft |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Markovate vs Belitsoft
| Dimension | Markovate | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail & E-commerce, FinTech | Healthcare, FinTech, SaaS (cross-industry) |
| Best use cases | Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive., Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | 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 |
Markovate vs Belitsoft: pros and cons
| Markovate | |
|---|---|
| + | CEO's 18+ years leading AI initiatives at AT&T and IBM brings genuine enterprise AI leadership experience to client engagements. |
| + | Focused service scope (AI agents, chatbots, generative AI) rather than a broad, diluted general-consulting offering. |
| + | Serves a wide industry spread (healthcare to travel) despite small team size, suggesting adaptable delivery patterns. |
| - | At roughly 51 employees, capacity for multiple concurrent large engagements is limited. |
| - | HQ location is inconsistently reported (San Francisco vs. Toronto across sources) — confirm the contracting entity directly. |
| - | "50+ certified AI engineers" claim on a 51-person total headcount is a company claim worth verifying during vendor due diligence. |
| 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 Markovate?
Markovate is the right choice for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality.
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: Markovate 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 | Markovate |
| Your budget is at the lower end | Compare: Markovate (Not published) vs Belitsoft (Not published) |
| You need specialist depth in a specific vertical | Markovate |
| You need production MLOps support after model launch | Belitsoft |
| You need consulting before committing to a build | Belitsoft |
Use case fit: Markovate vs Belitsoft
| Use case | Markovate fit | Belitsoft fit | Winner |
|---|---|---|---|
| Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive. | Strong | Strong | Both equally |
| Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | Strong | Limited | Markovate |
| 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. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Markovate vs Belitsoft
Markovate (4.1/5) is the stronger overall choice for most Machine Learning Development projects. CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background.. It is best for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
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.
Related comparisons
Markovate vs Belitsoft FAQ
Is Markovate better than Belitsoft?
Markovate (4.1/5) scores higher overall, but "better" depends on your use case. Markovate is better for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. 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 Markovate and Belitsoft differ in pricing?
Markovate uses project-based, dedicated team 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: Markovate or Belitsoft?
Markovate 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 Markovate and Belitsoft?
Markovate's primary differentiator is: ceo brings direct enterprise ai leadership experience (at&t, ibm) rather than a purely technical or agency background.. 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 (Healthcare, Retail & E-commerce vs Healthcare, FinTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.