Tensorway vs Yalantis: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of Yalantis (4.0/5) overall. Tensorway is the better choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. 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.
Tensorway vs Yalantis: head-to-head summary
| Criterion | Tensorway | Yalantis |
|---|---|---|
| Founded | 2019 | 2008 |
| HQ | Alicante, Spain | Larnaca, Cyprus |
| Team size | 50–249 | 500+ |
| Rating | 4.6 / 5 | 4.0 / 5 |
| Best for | Fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent. | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. |
| Pricing model | Project-based, time & materials | Fixed project, dedicated team |
| Min. engagement | $10,000+ | $10,000 |
| Primary tech stack | TensorFlow, PyTorch, OpenCV | AWS SageMaker, Azure ML, Google Cloud Vertex AI |
| Industries served | FinTech, Healthcare, Retail & E-commerce, EdTech | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain |
Tensorway vs Yalantis: overview
Tensorway
Tensorway was founded in 2019 as an AI-focused unit of Anadea, a 20+ year software development company, and had its public launch in 2023. Based in Alicante, Spain with a team in the 50–249 band (per Clutch), the firm delivers machine learning, deep learning, computer vision, and NLP projects for fintech, healthcare, retail, and edtech clients, with post-deployment model retraining and 24/7 support included in its engagement model. Because Tensorway operates as a spin-out rather than a fully independent company, prospective clients should confirm current ownership and delivery-team overlap with Anadea before signing.
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: Tensorway vs Yalantis
| Capability | Tensorway | Yalantis |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Tensorway vs Yalantis
| Framework / platform | Tensorway | Yalantis |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | 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: Tensorway vs Yalantis
| Criterion | Tensorway | Yalantis |
|---|---|---|
| Minimum engagement | $10,000+ | $10,000 |
| Engagement models | Project-based, Time & materials | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Tensorway vs Yalantis
| Dimension | Tensorway | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Healthcare, IoT & Embedded Systems, FinTech |
| Best use cases | Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support., Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. | 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 |
Tensorway vs Yalantis: pros and cons
| Tensorway | |
|---|---|
| + | Backed by Anadea's 20+ years of software delivery experience, reducing the operational-risk profile typical of a 2019-founded firm. |
| + | Post-deployment model retraining and 24/7 support are included rather than sold as a separate line item. |
| + | $10,000+ minimum project size is accessible for mid-sized fintech and healthcare teams, not just large enterprises. |
| + | Focused service scope (ML, DL, computer vision, NLP) avoids the generalist sprawl of larger IT outsourcers. |
| - | As a unit spun out of Anadea in 2019 with a 2023 public launch, its independent track record is shorter than its 20-year parent-company narrative implies. |
| - | 50–249 employee band (per Clutch) is wide, making it hard to confirm how many staff are dedicated specifically to ML work. |
| - | Smaller public case-study footprint than larger regional peers like SoftServe or N-iX. |
| 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 Tensorway?
Tensorway is the right choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..
AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. Minimum engagement starts at $10,000+. Works best with clients in FinTech, Healthcare, Retail & E-commerce, EdTech.
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: Tensorway 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 | Yalantis |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| 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: Tensorway vs Yalantis
| Use case | Tensorway fit | Yalantis fit | Winner |
|---|---|---|---|
| Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support. | Strong | Limited | Tensorway |
| Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. | Strong | Limited | Tensorway |
| 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 | Strong | Limited | Tensorway |
Verdict: Tensorway vs Yalantis
Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. It is best for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..
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
Tensorway vs Yalantis FAQ
Is Tensorway better than Yalantis?
Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway is better for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
How do Tensorway and Yalantis differ in pricing?
Tensorway uses project-based, time & materials pricing with a minimum engagement of $10,000+. 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: Tensorway or Yalantis?
Tensorway 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 Tensorway and Yalantis?
Tensorway's primary differentiator is: ai boutique backed by 20+ years of software delivery experience via parent company anadea.. 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 (50–249 vs 500+), minimum engagement ($10,000+ vs $10,000), and primary industries served (FinTech, Healthcare vs Healthcare, IoT & Embedded Systems).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.