DataArt vs Avenga: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of Avenga (3.9/5) overall. DataArt is the better choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Avenga is the stronger option for european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Avenga: head-to-head summary
| Criterion | DataArt | Avenga |
|---|---|---|
| Founded | 1997 | 2019 |
| HQ | New York, NY | Prague, Czech Republic |
| Team size | 5,700+ | 3,884 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth | European enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm |
| Pricing model | T&M, dedicated team | T&M, dedicated team |
| Min. engagement | $50K+ | $50K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Azure, AWS |
| Industries served | fintech, healthcare, travel, media, retail | financial, healthcare, retail, telecommunications, manufacturing |
DataArt vs Avenga: 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.)
Avenga
Avenga was formed in 2019 through the merger of multiple European IT firms and is headquartered in Prague, Czech Republic, with approximately 3,884 employees as of December 2025 (per Avenga LinkedIn). The company provides AI, ML, and digital transformation services for enterprise clients, drawing on its merged entities' combined delivery capabilities across finance, healthcare, and retail. (Employee count per Avenga LinkedIn, December 2025; merger history per Avenga Wikipedia.)
Services and capabilities: DataArt vs Avenga
| Capability | DataArt | Avenga |
|---|---|---|
| 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 Avenga
| Framework / platform | DataArt | Avenga |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: DataArt vs Avenga
| Criterion | DataArt | Avenga |
|---|---|---|
| Minimum engagement | $50K+ | $50K+ |
| 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 Avenga
| Dimension | DataArt | Avenga |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | fintech, healthcare, travel | financial, healthcare, retail |
| Best use cases | ML feature integration into existing fintech platform, Travel recommendation engine | Enterprise ML platform within digital transformation programme, Data modernisation with ML integration for financial services |
| Typical project type | T&M | T&M |
DataArt vs Avenga: 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 |
| Avenga | |
|---|---|
| + | 3,800+ engineers — strong capacity for large-scale programmes |
| + | European delivery presence across multiple countries |
| + | Multi-sector ML experience: finance, healthcare, retail, telecom |
| - | Formed from merger in 2019 — company culture and process integration still maturing |
| - | ML is part of broader IT consulting — not ML-first |
| - | Large minimum engagements not suited to startups or SMBs |
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 Avenga?
Avenga is the right choice for european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm.
Formed from a 2019 merger — 3,800+ engineers across Europe for large ML and digital transformation programmes. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, retail, telecommunications, manufacturing.
Decision matrix: DataArt vs Avenga
| 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 | DataArt |
| 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 Avenga
| Use case | DataArt fit | Avenga fit | Winner |
|---|---|---|---|
| ML feature integration into existing fintech platform | Strong | Strong | Both equally |
| Travel recommendation engine | Strong | Limited | DataArt |
| Enterprise ML platform within digital transformation programme | Strong | Strong | Both equally |
| Data modernisation with ML integration for financial services | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs Avenga
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.
Avenga (3.9/5) is the better choice when european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm. If your situation matches those criteria, Avenga is a competitive option.
Related comparisons
DataArt vs Avenga FAQ
Is DataArt better than Avenga?
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. Avenga is better for european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm.
How do DataArt and Avenga differ in pricing?
DataArt uses t&m, dedicated team pricing with a minimum engagement of $50K+. Avenga uses t&m, dedicated team pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or Avenga?
DataArt 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 Avenga?
DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. Avenga's primary differentiator is: formed from a 2019 merger — 3,800+ engineers across europe for large ml and digital transformation programmes. They also differ in team size (5,700+ vs 3,884), minimum engagement ($50K+ vs $50K+), and primary industries served (fintech, healthcare vs financial, healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.