LeewayHertz vs Yalantis: full comparison for 2026
Last updated: July 2026
Quick verdict
LeewayHertz (4.2/5) edges ahead of Yalantis (4.0/5) overall. LeewayHertz is the better choice for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group).. 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.
LeewayHertz vs Yalantis: head-to-head summary
| Criterion | LeewayHertz | Yalantis |
|---|---|---|
| Founded | 2007 | 2008 |
| HQ | San Francisco, California, United States | Larnaca, Cyprus |
| Team size | 200–300 | 500+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Best for | Enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group). | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. |
| Pricing model | Project-based, retainer | Fixed project, dedicated team |
| Min. engagement | Not published | $10,000 |
| Primary tech stack | Python, LangChain, Hugging Face | AWS SageMaker, Azure ML, Google Cloud Vertex AI |
| Industries served | FinTech, Healthcare, Manufacturing, Retail & E-commerce | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain |
LeewayHertz vs Yalantis: overview
LeewayHertz
LeewayHertz was founded in 2007 by Akash Takyar and Viresh Bhathia and is headquartered in San Francisco, combining strategic AI advisory with engineering delivery and proprietary AI platforms. On September 23, 2024, LeewayHertz was acquired by The Hackett Group, a publicly traded management consulting firm, giving it access to Hackett's enterprise client relationships. Reported employee counts range from roughly 194 to 300, and as with any recently acquired firm, prospective clients should verify current team continuity.
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: LeewayHertz vs Yalantis
| Capability | LeewayHertz | Yalantis |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: LeewayHertz vs Yalantis
| Framework / platform | LeewayHertz | Yalantis |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: LeewayHertz vs Yalantis
| Criterion | LeewayHertz | Yalantis |
|---|---|---|
| Minimum engagement | Not published | $10,000 |
| Engagement models | Project-based, Retainer, Dedicated team | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: LeewayHertz vs Yalantis
| Dimension | LeewayHertz | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Manufacturing | Healthcare, IoT & Embedded Systems, FinTech |
| Best use cases | Enterprise wants AI consulting from a firm now backed by a publicly traded management consultancy., Company needs generative AI or AI agent development with proprietary platform accelerators. | 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 |
LeewayHertz vs Yalantis: pros and cons
| LeewayHertz | |
|---|---|
| + | 17 years of AI/software delivery history since 2007, well-established before its 2024 acquisition. |
| + | Now backed by The Hackett Group, a publicly traded management consulting firm, adding financial stability and enterprise client access. |
| + | Proprietary AI platform assets built pre-acquisition can shorten delivery timelines for common use cases. |
| - | September 2024 acquisition by The Hackett Group is recent enough that integration effects on pricing and delivery team stability are still unfolding. |
| - | Employee-count sources disagree meaningfully (194 vs. 300), so confirm current AI-delivery headcount directly. |
| 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 LeewayHertz?
LeewayHertz is the right choice for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group)..
AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Manufacturing, Retail & E-commerce.
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: LeewayHertz 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 | LeewayHertz |
| Your budget is at the lower end | Compare: LeewayHertz (Not published) vs Yalantis ($10,000) |
| You need specialist depth in a specific vertical | LeewayHertz |
| You need production MLOps support after model launch | Yalantis |
| You need consulting before committing to a build | LeewayHertz |
Use case fit: LeewayHertz vs Yalantis
| Use case | LeewayHertz fit | Yalantis fit | Winner |
|---|---|---|---|
| Enterprise wants AI consulting from a firm now backed by a publicly traded management consultancy. | Strong | Limited | LeewayHertz |
| Company needs generative AI or AI agent development with proprietary platform accelerators. | Strong | Strong | Both equally |
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Limited | Strong | Yalantis |
| 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 | Limited | Limited | Both equally |
Verdict: LeewayHertz vs Yalantis
LeewayHertz (4.2/5) is the stronger overall choice for most Machine Learning Development projects. AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing.. It is best for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group)..
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
LeewayHertz vs Yalantis FAQ
Is LeewayHertz better than Yalantis?
LeewayHertz (4.2/5) scores higher overall, but "better" depends on your use case. LeewayHertz is better for enterprises that want AI consulting backed by a publicly traded management-consulting parent (The Hackett Group).. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
How do LeewayHertz and Yalantis differ in pricing?
LeewayHertz uses project-based, retainer pricing with a minimum engagement of Not published. 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: LeewayHertz or Yalantis?
LeewayHertz 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 LeewayHertz and Yalantis?
LeewayHertz's primary differentiator is: ai consultancy now operating as a hackett group company, combining startup-era agility with public-company backing.. 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 (200–300 vs 500+), minimum engagement (Not published 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.