Yalantis vs Intellias: full comparison for 2026
Last updated: July 2026
Quick verdict
Yalantis (4.0/5) edges ahead of Intellias (3.7/5) overall. Yalantis is the better choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. Intellias is the stronger option for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. The right choice depends on your project size, budget, and required tech stack.
Yalantis vs Intellias: head-to-head summary
| Criterion | Yalantis | Intellias |
|---|---|---|
| Founded | 2008 | 2002 |
| HQ | Larnaca, Cyprus | Sliema, Malta |
| Team size | 500+ | 2,961 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. | Automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage. |
| 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, AWS, Azure |
| Industries served | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain | Automotive, Manufacturing, FinTech, Retail & E-commerce |
Yalantis vs Intellias: 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.
Intellias
Intellias was founded in 2002 in Lviv, Ukraine by Michael Puzrakov and Vitaly Sedler and now lists its headquarters in Sliema, Malta, with a workforce exceeding 2,961 employees (some sources cite 3,000+). The company specializes in IoT, artificial intelligence, machine learning, big data, cloud computing, data science, and DevOps, and has been listed among top service providers by Clutch, IAOP, and the GSA UK Awards. Its automotive and mobility-sector heritage gives it particular depth in embedded/IoT-adjacent ML applications relative to more general-purpose AI consultancies.
Services and capabilities: Yalantis vs Intellias
| Capability | Yalantis | Intellias |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Yalantis vs Intellias
| Framework / platform | Yalantis | Intellias |
|---|---|---|
| TensorFlow | 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 Intellias
| Criterion | Yalantis | Intellias |
|---|---|---|
| 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 Intellias
| Dimension | Yalantis | Intellias |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, IoT & Embedded Systems, FinTech | Automotive, Manufacturing, FinTech |
| 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. | Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage., Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. |
| Typical project type | Fixed project | Dedicated team |
Yalantis vs Intellias: 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. |
| Intellias | |
|---|---|
| + | 22+ years of operating history (since 2002) with founders still traceable to the company's Lviv origins. |
| + | 2,961-person workforce provides strong delivery capacity for large, multi-workstream enterprise programs. |
| + | Recognized among top service providers by Clutch, IAOP, and the GSA UK Awards — three independent bodies rather than one. |
| + | Automotive and IoT sector depth differentiates it from generalist ML consultancies for embedded/connected-device use cases. |
| - | Legal headquarters in Sliema, Malta while founding and significant delivery capacity remains tied to Lviv, Ukraine — confirm contracting jurisdiction. |
| - | At nearly 3,000 employees, AI/ML is one of several core specializations (IoT, big data, cloud, DevOps) rather than a standalone focus. |
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 Intellias?
Intellias is the right choice for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases.. Minimum engagement starts at Not published. Works best with clients in Automotive, Manufacturing, FinTech, Retail & E-commerce.
Decision matrix: Yalantis vs Intellias
| 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 Intellias (Not published) |
| You need specialist depth in a specific vertical | Yalantis |
| 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: Yalantis vs Intellias
| Use case | Yalantis fit | Intellias 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 |
| Automotive or mobility company needs ML development from a firm with genuine embedded-systems and IoT heritage. | Limited | Strong | Intellias |
| Enterprise wants a vendor recognized by three independent bodies (Clutch, IAOP, GSA UK) rather than one. | Limited | Strong | Intellias |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Yalantis vs Intellias
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..
Intellias (3.7/5) is the better choice when automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage.. If your situation matches those criteria, Intellias is a competitive option.
Related comparisons
Yalantis vs Intellias FAQ
Is Yalantis better than Intellias?
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.. Intellias is better for automotive, mobility, and IoT companies wanting ML development from a firm with deep embedded-systems heritage..
How do Yalantis and Intellias differ in pricing?
Yalantis uses fixed project, dedicated team pricing with a minimum engagement of $10,000. Intellias 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 Intellias?
Intellias 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 Intellias?
Yalantis's primary differentiator is: compliance-first positioning combined with multi-cloud ml delivery (aws, azure, gcp) under one roof.. Intellias's primary differentiator is: strong automotive/mobility and iot sector heritage, giving it differentiated depth in embedded and connected-device ml use cases.. They also differ in team size (500+ vs 2,961), minimum engagement ($10,000 vs Not published), and primary industries served (Healthcare, IoT & Embedded Systems vs Automotive, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.