ELEKS vs Azumo: full comparison for 2026
Last updated: July 2026
Quick verdict
ELEKS (3.9/5) edges ahead of Azumo (3.8/5) overall. ELEKS is the better choice for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. 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.
ELEKS vs Azumo: head-to-head summary
| Criterion | ELEKS | Azumo |
|---|---|---|
| Founded | 1991 | 2016 |
| HQ | Lviv, Ukraine | San Francisco, CA |
| Team size | 2,000+ | 100–250 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity | US companies seeking cost-effective nearshore ML development with Latin American time-zone alignment |
| Pricing model | T&M, dedicated team | T&M, dedicated team |
| Min. engagement | $50K+ | $25K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | financial, healthcare, manufacturing, retail, logistics | saas, fintech, healthcare, retail, logistics |
ELEKS vs Azumo: 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.)
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: ELEKS vs Azumo
| Capability | ELEKS | 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: ELEKS vs Azumo
| Framework / platform | ELEKS | Azumo |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: ELEKS vs Azumo
| Criterion | ELEKS | Azumo |
|---|---|---|
| Minimum engagement | $50K+ | $25K+ |
| Engagement models | T&M, Dedicated team | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ELEKS vs Azumo
| Dimension | ELEKS | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, healthcare, manufacturing | saas, fintech, healthcare |
| Best use cases | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control | Computer vision for edge or mobile device, ML model for mobile fintech app |
| Typical project type | T&M | T&M |
ELEKS vs Azumo: 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 |
| 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 ELEKS?
ELEKS is the right choice for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
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 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: ELEKS vs Azumo
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | Azumo |
| 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 Azumo
| Use case | ELEKS fit | Azumo fit | Winner |
|---|---|---|---|
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Strong | Strong | Both equally |
| 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: ELEKS vs Azumo
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. It is best for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
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
ELEKS vs Azumo FAQ
Is ELEKS better than Azumo?
ELEKS (3.9/5) scores higher overall, but "better" depends on your use case. ELEKS is better for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. Azumo is better for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.
How do ELEKS and Azumo differ in pricing?
ELEKS uses t&m, dedicated team pricing with a minimum engagement of $50K+. 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: ELEKS or Azumo?
Azumo 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 Azumo?
ELEKS's primary differentiator is: 30+ years of enterprise software delivery — ml within a stable, large-org structure for risk-averse buyers. 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 (2,000+ vs 100–250), minimum engagement ($50K+ vs $25K+), and primary industries served (financial, healthcare vs saas, fintech).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.