Tensorway vs Yalantis: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Yalantis (3.9/5) overall. Tensorway is the better choice for mid-market teams needing custom ML builds with full production ownership, from model design to drift monitoring. Yalantis is the stronger option for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Yalantis: head-to-head summary
| Criterion | Tensorway | Yalantis |
|---|---|---|
| Founded | 2007 | 2008 |
| HQ | Kharkiv, Ukraine (US office) | Kyiv, Ukraine |
| Team size | 250+ | 200–400 |
| Rating | 4.8 / 5 | 3.9 / 5 |
| Best for | Mid-market teams needing custom ML builds with full production ownership, from model design to drift monitoring | Healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering |
| Pricing model | Fixed project, T&M, retainer | Fixed project, T&M |
| Min. engagement | $15K | $25K+ |
| Primary tech stack | Python, scikit-learn, XGBoost | Python, TensorFlow, PyTorch |
| Industries served | e-commerce, logistics, fintech, healthcare, travel | healthcare, fintech, saas, logistics, manufacturing |
Tensorway vs Yalantis: overview
Tensorway
Tensorway is a machine learning engineering firm with roots in Anadea, a software development company founded in 2001, operating as a dedicated ML-focused unit with US and Ukraine offices. The firm specialises in custom ML product builds requiring sustained ownership — covering model design, training infrastructure, MLOps pipelines, and ongoing drift monitoring under one team. Core stack includes Python (scikit-learn, XGBoost, LightGBM), Prophet for time-series, and cloud platforms such as AWS SageMaker and Azure ML. Industries served include e-commerce, logistics, fintech, healthcare, and online travel.
Yalantis
Yalantis was founded in 2008 and operates with a focus on compliance-first IoT and software engineering alongside machine learning consulting. The company's ML team provides domain-specific consulting, model deployment, and ongoing support, with depth in regulated industries including healthcare and fintech. ML consultants hold master's degrees in machine learning and have production data science experience. (Founded year per Tracxn; specialisation per Yalantis official website.)
Services and capabilities: Tensorway vs Yalantis
| Capability | Tensorway | Yalantis |
|---|---|---|
| Custom ML build | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Computer vision | ✓ | ✓ |
| NLP / LLM | ✓ | ✓ |
| Predictive analytics | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| Data engineering | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✗ | ✗ |
Tech stack comparison: Tensorway vs Yalantis
| Framework / platform | Tensorway | Yalantis |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | ✓ | N/A |
| Azure ML | ✓ | N/A |
Pricing comparison: Tensorway vs Yalantis
| Criterion | Tensorway | Yalantis |
|---|---|---|
| Minimum engagement | $15K | $25K+ |
| Engagement models | Fixed project, T&M, Retainer | Fixed project, T&M, Retainer |
| 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 | e-commerce, logistics, fintech | healthcare, fintech, saas |
| Best use cases | Time-series demand forecasting for e-commerce or logistics, Fraud detection model for fintech | Compliance-aware ML model for healthcare data, Predictive analytics for fintech risk management |
| Typical project type | Fixed project | Fixed project |
Tensorway vs Yalantis: pros and cons
| Tensorway | |
|---|---|
| + | Full ML lifecycle covered — from scoping to production drift monitoring |
| + | No-handoff model: same team from prototype to deployment |
| + | Strong time-series and predictive analytics specialisation (Prophet, XGBoost) |
| + | Cloud-agnostic: proven on AWS SageMaker and Azure ML |
| + | Flexible engagement: fixed, T&M, or retainer available |
| - | Smaller team than enterprise firms — less suited to Fortune 500 governance requirements |
| - | Non-ML software outside the ML pipeline may need a separate vendor |
| Yalantis | |
|---|---|
| + | Compliance-first approach for regulated healthcare and fintech projects |
| + | Full-lifecycle ML: from consulting through deployment and support |
| + | Master's-qualified ML consultants — verifiable technical depth |
| + | IoT integration experience alongside ML — rare combination |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| - | Less suited to pure data science research or exploratory projects |
Who should choose Tensorway?
Tensorway is the right choice for mid-market teams needing custom ML builds with full production ownership, from model design to drift monitoring.
Full-lifecycle ML ownership — model design, training infrastructure, and drift monitoring in one team. Minimum engagement starts at $15K. Works best with clients in e-commerce, logistics, fintech, healthcare, travel.
Who should choose Yalantis?
Yalantis is the right choice for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.
Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. Minimum engagement starts at $25K+. Works best with clients in healthcare, fintech, saas, logistics, manufacturing.
Decision matrix: Tensorway vs Yalantis
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Tensorway |
Use case fit: Tensorway vs Yalantis
| Use case | Tensorway fit | Yalantis fit | Winner |
|---|---|---|---|
| Time-series demand forecasting for e-commerce or logistics | Strong | Limited | Tensorway |
| Fraud detection model for fintech | Strong | Limited | Tensorway |
| Compliance-aware ML model for healthcare data | Limited | Strong | Yalantis |
| Predictive analytics for fintech risk management | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs Yalantis
Tensorway (4.8/5) is the stronger overall choice for most Machine Learning projects. Full-lifecycle ML ownership — model design, training infrastructure, and drift monitoring in one team. It is best for mid-market teams needing custom ML builds with full production ownership, from model design to drift monitoring.
Yalantis (3.9/5) is the better choice when healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. If your situation matches those criteria, Yalantis is a competitive option.
Related comparisons
Tensorway vs Yalantis FAQ
Is Tensorway better than Yalantis?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway is better for mid-market teams needing custom ML builds with full production ownership, from model design to drift monitoring. Yalantis is better for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.
How do Tensorway and Yalantis differ in pricing?
Tensorway uses fixed project, t&m, retainer pricing with a minimum engagement of $15K. Yalantis uses fixed project, t&m pricing with a minimum engagement of $25K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway or Yalantis?
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 agency before shortlisting.
What are the main differences between Tensorway and Yalantis?
Tensorway's primary differentiator is: full-lifecycle ml ownership — model design, training infrastructure, and drift monitoring in one team. Yalantis's primary differentiator is: compliance-first ml delivery — particularly strong for healthcare and regulated fintech with iot integration needs. They also differ in team size (250+ vs 200–400), minimum engagement ($15K vs $25K+), and primary industries served (e-commerce, logistics vs healthcare, fintech).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.