DataArt vs Azumo: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of Azumo (3.8/5) overall. DataArt is the better choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. 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.
DataArt vs Azumo: head-to-head summary
| Criterion | DataArt | Azumo |
|---|---|---|
| Founded | 1997 | 2016 |
| HQ | New York, NY | San Francisco, CA |
| Team size | 5,700+ | 100–250 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth | 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 | fintech, healthcare, travel, media, retail | saas, fintech, healthcare, retail, logistics |
DataArt vs Azumo: overview
DataArt
DataArt was founded in 1997 by Eugene Goland and is headquartered in New York, with offices across 15 global locations and 5,700+ employees. The company delivers AI and ML services — predictive analytics, NLP, data mining, and computer vision — alongside broader software engineering for clients in fintech, healthcare, and travel. DataArt was named an Inc. 5000 honoree in 2024. ML is one service line among many in DataArt's broad software engineering portfolio. (Employee count and founding year per DataArt Wikipedia and 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: DataArt vs Azumo
| Capability | DataArt | 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: DataArt vs Azumo
| Framework / platform | DataArt | Azumo |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: DataArt vs Azumo
| Criterion | DataArt | Azumo |
|---|---|---|
| Minimum engagement | $50K+ | $25K+ |
| Engagement models | T&M, Dedicated team, Retainer | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataArt vs Azumo
| Dimension | DataArt | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | fintech, healthcare, travel | saas, fintech, healthcare |
| Best use cases | ML feature integration into existing fintech platform, Travel recommendation engine | Computer vision for edge or mobile device, ML model for mobile fintech app |
| Typical project type | T&M | T&M |
DataArt vs Azumo: pros and cons
| DataArt | |
|---|---|
| + | 5,700+ engineers — sufficient capacity for large parallel programmes |
| + | 29 years of software delivery history — low company risk |
| + | Strong fintech and travel sector domain depth |
| + | Inc. 5000 2024 — verified revenue growth |
| + | 15 global offices for enterprise procurement alignment |
| - | ML is one practice among many — not a pure ML specialist |
| - | Minimum engagement and overhead suited to enterprise, not startups |
| - | Large firm processes can reduce speed relative to boutique ML agencies |
| 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 DataArt?
DataArt is the right choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.
1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. Minimum engagement starts at $50K+. Works best with clients in fintech, healthcare, travel, media, retail.
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: DataArt 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 | DataArt |
| Your budget is at the lower end | Azumo |
| You need specialist depth in a specific vertical | DataArt |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | DataArt |
Use case fit: DataArt vs Azumo
| Use case | DataArt fit | Azumo fit | Winner |
|---|---|---|---|
| ML feature integration into existing fintech platform | Strong | Strong | Both equally |
| Travel recommendation engine | Strong | Limited | DataArt |
| 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: DataArt vs Azumo
DataArt (3.9/5) is the stronger overall choice for most Machine Learning projects. 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. It is best for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.
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
DataArt vs Azumo FAQ
Is DataArt better than Azumo?
DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt is better for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Azumo is better for uS companies seeking cost-effective nearshore ML development with Latin American time-zone alignment.
How do DataArt and Azumo differ in pricing?
DataArt 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: DataArt 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 DataArt and Azumo?
DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. 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 (5,700+ vs 100–250), minimum engagement ($50K+ vs $25K+), and primary industries served (fintech, healthcare vs saas, fintech).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.