ELEKS vs Yalantis: full comparison for 2026
Quick verdict
ELEKS (3.9/5) edges ahead of Yalantis (3.9/5) overall. ELEKS is the better choice for enterprise clients, ML within full-service consulting. Yalantis is the stronger option for Healthcare, fintech — compliance-aware ML plus IoT. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs Yalantis: head-to-head summary
| Criterion | ELEKS | Yalantis |
|---|---|---|
| Founded | 1991 | 2008 |
| HQ | Lviv, Ukraine | Kyiv, Ukraine |
| Team size | 2,000+ | 200–400 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers | Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs |
| Pricing model | T&M, dedicated team | Fixed project, T&M |
| Min. engagement | $50K+ | $25K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | financial, healthcare, manufacturing, retail, logistics | healthcare, fintech, saas, logistics, manufacturing |
ELEKS vs Yalantis: overview
ELEKS
ELEKS was established in 1991 and is headquartered in Lviv, Ukraine, with offices across Europe and North America. The company has 2,000+ engineers and delivers technology consulting, AI/ML services, and enterprise software for Fortune 500 clients globally. ML services include predictive analytics, computer vision, NLP, and intelligent automation. ELEKS celebrated its 30th anniversary in 2021. (Founding year and team size per ELEKS official website and KyivPost article.)
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: ELEKS vs Yalantis
| Capability | ELEKS | 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: ELEKS vs Yalantis
| Framework / platform | ELEKS | Yalantis |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: ELEKS vs Yalantis
| Criterion | ELEKS | Yalantis |
|---|---|---|
| Minimum engagement | $50K+ | $25K+ |
| Engagement models | T&M, Dedicated team | Fixed project, T&M, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ELEKS vs Yalantis
| Dimension | ELEKS | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, healthcare, manufacturing | healthcare, fintech, saas |
| Best use cases | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control | Compliance-aware ML model for healthcare data, Predictive analytics for fintech risk management |
| Typical project type | T&M | Fixed project |
ELEKS vs Yalantis: pros and cons
| ELEKS | |
|---|---|
| + | 30+ years of enterprise delivery history — very low company risk |
| + | 2,000+ engineers across multiple disciplines |
| + | Proven Fortune 500 delivery capability across multiple verticals |
| + | Wide industry coverage including manufacturing and financial services |
| - | ML practice is secondary to broader software engineering — not ML-first |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| - | Less agile than boutique ML specialists for short exploratory projects |
| 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 ELEKS?
A typical fit: ML integration into enterprise ERP or CRM.
30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, retail, logistics.
Who should choose Yalantis?
A typical fit: compliance-aware ML model for healthcare data.
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: ELEKS 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 | ELEKS |
| Your budget is at the lower end | Yalantis |
| You need specialist depth in a specific vertical | ELEKS |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ELEKS |
Use case fit: ELEKS vs Yalantis
| Use case | ELEKS fit | Yalantis fit | Winner |
|---|---|---|---|
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Strong | Strong | Both equally |
| 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: ELEKS vs Yalantis
ELEKS (3.9/5) is the stronger overall choice for most Machine Learning projects. 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers.
Yalantis (3.9/5) is worth a look if you need predictive analytics for fintech risk management. If your situation matches that, Yalantis is a competitive option.
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ELEKS vs Yalantis FAQ
Is ELEKS better than Yalantis?
ELEKS (3.9/5) scores higher overall, but "better" depends on your use case. ELEKS's strongest advantage: 30+ years of enterprise delivery history — very low company risk. Yalantis's strongest advantage: compliance-first approach for regulated healthcare and fintech projects.
How do ELEKS and Yalantis differ in pricing?
ELEKS uses t&m, dedicated team pricing with a minimum engagement of $50K+. 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: ELEKS 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 ELEKS and Yalantis?
ELEKS's primary differentiator is: 30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers. 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 (2,000+ vs 200–400), minimum engagement ($50K+ vs $25K+), and primary industries served (financial, healthcare vs healthcare, fintech).