Yalantis
Cyprus-headquartered compliance-first engineering firm with ML delivery on AWS, Azure, and GCP.
What is 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.
Yalantis was founded in 2008 and is headquartered in Larnaca, Cyprus. The firm employs 500+ people and works primarily with clients in Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain sectors. Its primary differentiator is: Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof..
Yalantis tech stack and services
| Service area | Details |
|---|---|
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Available for Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain clients |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Available for Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain clients |
| Team needs multimodal LLM processing (visual + text) for a production application. | Available for Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain clients |
Yalantis use cases
Short answer: Yalantis is best suited for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
| Use case | Industries | Approach |
|---|---|---|
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Healthcare, IoT & Embedded Systems | AWS SageMaker, Azure ML |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Healthcare, IoT & Embedded Systems | AWS SageMaker, Azure ML |
| Team needs multimodal LLM processing (visual + text) for a production application. | Healthcare, IoT & Embedded Systems | AWS SageMaker, Azure ML |
Yalantis pricing
Short answer: Yalantis uses a fixed project, dedicated team pricing approach. Minimum engagement starts at $10,000.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $10,000 | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Yalantis pros and cons
| Advantages | Things to consider |
|---|---|
| +Compliance-first positioning is a genuine differentiator for regulated industries like healthcare and embedded/IoT systems. | -IoT and hardware engineering heritage means ML is one of several engineering disciplines rather than the firm's sole focus. |
| +Multi-cloud ML delivery capability (AWS, Azure, GCP) avoids vendor lock-in to a single hyperscaler. | -Larnaca, Cyprus legal HQ with all technical delivery in Ukraine is standard for the region but worth confirming for contract jurisdiction purposes. |
| +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. |
Yalantis vs alternatives
How Yalantis compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
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Yalantis FAQ
What is 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.
How much does Yalantis charge?
Yalantis uses fixed project, dedicated team pricing. Minimum engagement starts at $10,000. A discovery call is required to get project-specific quotes.
What tech stack does Yalantis use?
Yalantis works with AWS SageMaker, Azure ML, Google Cloud Vertex AI, Python, LangChain. Primary industries served include Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain.
Is Yalantis right for enterprise?
Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. 500+ team size. Key consideration: IoT and hardware engineering heritage means ML is one of several engineering disciplines rather than the firm's sole focus..
What are the best Yalantis alternatives?
The best alternatives to Yalantis depend on your use case. Top options are:
- Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
- Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
- Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
Compare Yalantis with other Machine Learning Development companies
Last reviewed: July 2026. Verify all details directly with Yalantis before making a decision.