Yalantis vs Azumo: full comparison for 2026
Last updated: July 2026
Quick verdict
Yalantis (3.9/5) edges ahead of Azumo (3.8/5) overall. Yalantis is the better choice for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. Azumo is the stronger option for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment. The right choice depends on your project size, budget, and required tech stack.
Yalantis vs Azumo: head-to-head summary
| Criterion | Yalantis | Azumo |
|---|---|---|
| Founded | 2008 | 2016 |
| HQ | Kyiv, Ukraine | San Francisco, CA |
| Team size | 200–400 | 100–250 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering | US companies seeking cost-effective nearshore ML development with Latin American time-zone alignment |
| Pricing model | Fixed project, T&M | T&M, dedicated team |
| Min. engagement | $25K+ | $25K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | healthcare, fintech, saas, logistics, manufacturing | saas, fintech, healthcare, retail, logistics |
Yalantis vs Azumo: overview
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.)
Azumo
Azumo was founded in 2016 and is headquartered in San Francisco, with its development centre in Latin America. The company positions itself as a nearshore AI and ML engineering partner for US companies, providing cost-effective development with US time-zone alignment. Azumo offers AI vision models for mobile, web, and edge devices alongside general ML engineering. (Founding year, HQ, and delivery model per Azumo official website.)
Services and capabilities: Yalantis vs Azumo
| Capability | Yalantis | Azumo |
|---|---|---|
| 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: Yalantis vs Azumo
| Framework / platform | Yalantis | Azumo |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Yalantis vs Azumo
| Criterion | Yalantis | Azumo |
|---|---|---|
| Minimum engagement | $25K+ | $25K+ |
| Engagement models | Fixed project, T&M, Retainer | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Yalantis vs Azumo
| Dimension | Yalantis | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | healthcare, fintech, saas | saas, fintech, healthcare |
| Best use cases | Compliance-aware ML model for healthcare data, Predictive analytics for fintech risk management | Computer vision for edge or mobile device, ML model for mobile fintech app |
| Typical project type | Fixed project | T&M |
Yalantis vs Azumo: pros and cons
| 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 |
| Azumo | |
|---|---|
| + | Latin American nearshore team — US time-zone alignment without premium on-shore costs |
| + | Computer vision and mobile ML specialisation |
| + | US-headquartered leadership for accountability and IP clarity |
| + | Edge device and mobile ML deployment experience |
| - | Nearshore delivery model requires strong async communication discipline |
| - | Less depth in data engineering or MLOps compared to larger ML firms |
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.
Who should choose Azumo?
Azumo is the right choice for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.
Latin American nearshore delivery — US time-zone alignment with rates below fully on-shore alternatives. Minimum engagement starts at $25K+. Works best with clients in saas, fintech, healthcare, retail, logistics.
Decision matrix: Yalantis vs Azumo
| 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 | Azumo |
| Your budget is at the lower end | Yalantis |
| You need specialist depth in a specific vertical | Yalantis |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Yalantis |
Use case fit: Yalantis vs Azumo
| Use case | Yalantis fit | Azumo fit | Winner |
|---|---|---|---|
| Compliance-aware ML model for healthcare data | Strong | Limited | Yalantis |
| Predictive analytics for fintech risk management | Strong | Limited | Yalantis |
| Computer vision for edge or mobile device | Strong | Strong | Both equally |
| ML model for mobile fintech app | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Azumo |
Verdict: Yalantis vs Azumo
Yalantis (3.9/5) is the stronger overall choice for most Machine Learning projects. Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. It is best for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.
Azumo (3.8/5) is the better choice when uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment. If your situation matches those criteria, Azumo is a competitive option.
Related comparisons
Yalantis vs Azumo FAQ
Is Yalantis better than Azumo?
Yalantis (3.9/5) scores higher overall, but "better" depends on your use case. Yalantis is better for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. Azumo is better for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.
How do Yalantis and Azumo differ in pricing?
Yalantis uses fixed project, t&m pricing with a minimum engagement of $25K+. Azumo uses t&m, dedicated team 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: Yalantis or Azumo?
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 Yalantis and Azumo?
Yalantis's primary differentiator is: compliance-first ml delivery — particularly strong for healthcare and regulated fintech with iot integration needs. Azumo's primary differentiator is: latin american nearshore delivery — us time-zone alignment with rates below fully on-shore alternatives. They also differ in team size (200–400 vs 100–250), minimum engagement ($25K+ vs $25K+), and primary industries served (healthcare, fintech vs saas, fintech).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.