Markovate vs Yalantis: full comparison for 2026
Last updated: July 2026
Quick verdict
Markovate (4.1/5) edges ahead of Yalantis (4.0/5) 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).. Yalantis is the stronger option for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. The right choice depends on your project size, budget, and required tech stack.
Markovate vs Yalantis: head-to-head summary
| Criterion | Markovate | Yalantis |
|---|---|---|
| Founded | 2015 | 2008 |
| HQ | San Francisco, California, United States | Larnaca, Cyprus |
| Team size | 50–100 | 500+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM). | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. |
| Pricing model | Project-based, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | $10,000 |
| Primary tech stack | LangChain, OpenAI API, Python | AWS SageMaker, Azure ML, Google Cloud Vertex AI |
| Industries served | Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain |
Markovate vs Yalantis: 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.
Yalantis
Yalantis was founded in 2008 with headquarters in Larnaca, Cyprus and development hubs in Dnipro, Kyiv, and Lviv, Ukraine, growing to roughly 500 specialists. The firm positions itself as a 'compliance-first engineering partner,' building high-performance ML models across Amazon, Microsoft Azure, and Google Cloud ML platforms, including data preparation, model selection, training, deployment, and multimodal LLM processing for visual and text data. Project costs are reported to range from $10,000 to over $800,000, indicating the firm handles both small scoped projects and large enterprise programs.
Services and capabilities: Markovate vs Yalantis
| Capability | Markovate | Yalantis |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Markovate vs Yalantis
| Framework / platform | Markovate | Yalantis |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs Yalantis
| Criterion | Markovate | Yalantis |
|---|---|---|
| Minimum engagement | Not published | $10,000 |
| Engagement models | Project-based, Dedicated team | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Markovate vs Yalantis
| Dimension | Markovate | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail & E-commerce, FinTech | Healthcare, IoT & Embedded Systems, FinTech |
| 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. | Healthcare or IoT company needs ML development from a compliance-first engineering partner., Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. |
| Typical project type | Project-based | Fixed project |
Markovate vs Yalantis: 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. |
| Yalantis | |
|---|---|
| + | Compliance-first positioning is a genuine differentiator for regulated industries like healthcare and embedded/IoT systems. |
| + | Multi-cloud ML delivery capability (AWS, Azure, GCP) avoids vendor lock-in to a single hyperscaler. |
| + | Wide project-cost range ($10,000–$800,000+) means the firm can serve both small scoped projects and large programs without switching vendors. |
| + | 500+ specialists across three Ukrainian development hubs provides meaningful delivery redundancy. |
| - | IoT and hardware engineering heritage means ML is one of several engineering disciplines rather than the firm's sole focus. |
| - | Larnaca, Cyprus legal HQ with all technical delivery in Ukraine is standard for the region but worth confirming for contract jurisdiction purposes. |
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 Yalantis?
Yalantis is the right choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof.. Minimum engagement starts at $10,000. Works best with clients in Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain.
Decision matrix: Markovate vs Yalantis
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Yalantis |
| You need a large dedicated team for an ongoing programme | Markovate |
| Your budget is at the lower end | Compare: Markovate (Not published) vs Yalantis ($10,000) |
| You need specialist depth in a specific vertical | Markovate |
| You need production MLOps support after model launch | Yalantis |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Markovate vs Yalantis
| Use case | Markovate fit | Yalantis 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 | Strong | Both equally |
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Strong | Strong | Both equally |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Markovate vs Yalantis
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)..
Yalantis (4.0/5) is the better choice when compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. If your situation matches those criteria, Yalantis is a competitive option.
Related comparisons
Markovate vs Yalantis FAQ
Is Markovate better than Yalantis?
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).. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
How do Markovate and Yalantis differ in pricing?
Markovate uses project-based, dedicated team pricing with a minimum engagement of Not published. Yalantis uses fixed project, dedicated team pricing with a minimum engagement of $10,000. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Markovate or Yalantis?
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 Yalantis?
Markovate's primary differentiator is: ceo brings direct enterprise ai leadership experience (at&t, ibm) rather than a purely technical or agency background.. Yalantis's primary differentiator is: compliance-first positioning combined with multi-cloud ml delivery (aws, azure, gcp) under one roof.. They also differ in team size (50–100 vs 500+), minimum engagement (Not published vs $10,000), and primary industries served (Healthcare, Retail & E-commerce vs Healthcare, IoT & Embedded Systems).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.