Yalantis vs Belitsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
Yalantis (4.0/5) edges ahead of Belitsoft (3.8/5) overall. Yalantis is the better choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. 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.
Yalantis vs Belitsoft: head-to-head summary
| Criterion | Yalantis | Belitsoft |
|---|---|---|
| Founded | 2008 | 2004 |
| HQ | Larnaca, Cyprus | Warsaw, Poland |
| Team size | 500+ | 400+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. | Companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth. |
| Pricing model | Fixed project, dedicated team | Time & materials, dedicated team |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | AWS SageMaker, Azure ML, Google Cloud Vertex AI | Python, .NET, AWS |
| Industries served | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain | Healthcare, FinTech, SaaS (cross-industry) |
Yalantis vs Belitsoft: overview
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.
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: Yalantis vs Belitsoft
| Capability | Yalantis | Belitsoft |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Yalantis vs Belitsoft
| Framework / platform | Yalantis | Belitsoft |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Yalantis vs Belitsoft
| Criterion | Yalantis | Belitsoft |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Yalantis vs Belitsoft
| Dimension | Yalantis | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, IoT & Embedded Systems, FinTech | Healthcare, FinTech, SaaS (cross-industry) |
| Best use cases | 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. | 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 | Fixed project | Dedicated team |
Yalantis vs Belitsoft: pros and cons
| 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. |
| 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 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.
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: Yalantis vs Belitsoft
| 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 | Yalantis |
| Your budget is at the lower end | Compare: Yalantis ($10,000) vs Belitsoft (Not published) |
| You need specialist depth in a specific vertical | Yalantis |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Belitsoft |
Use case fit: Yalantis vs Belitsoft
| Use case | Yalantis fit | Belitsoft fit | Winner |
|---|---|---|---|
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Strong | Limited | Yalantis |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | 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: Yalantis vs Belitsoft
Yalantis (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof.. It is best for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
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
Yalantis vs Belitsoft FAQ
Is Yalantis better than Belitsoft?
Yalantis (4.0/5) scores higher overall, but "better" depends on your use case. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. 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 Yalantis and Belitsoft differ in pricing?
Yalantis uses fixed project, dedicated team pricing with a minimum engagement of $10,000. 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: Yalantis or Belitsoft?
Yalantis 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 Yalantis and Belitsoft?
Yalantis's primary differentiator is: compliance-first positioning combined with multi-cloud ml delivery (aws, azure, gcp) under one roof.. 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 (500+ vs 400+), minimum engagement ($10,000 vs Not published), and primary industries served (Healthcare, IoT & Embedded Systems vs Healthcare, FinTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.