DataArt vs Centric Consulting: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of Centric Consulting (3.7/5) overall. DataArt is the better choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Centric Consulting is the stronger option for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Centric Consulting: head-to-head summary
| Criterion | DataArt | Centric Consulting |
|---|---|---|
| Founded | 1997 | 1999 |
| HQ | New York, NY | Columbus, OH |
| Team size | 5,700+ | 800+ |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Best for | Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth | US mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation |
| Pricing model | T&M, dedicated team | T&M, retainer |
| Min. engagement | $50K+ | $50K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Azure, AWS |
| Industries served | fintech, healthcare, travel, media, retail | financial, healthcare, manufacturing, retail, logistics |
DataArt vs Centric Consulting: 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.)
Centric Consulting
Centric Consulting is a US-based management consulting firm with 25 years of experience, headquartered in Columbus, Ohio, with 800+ professionals. The company provides AI strategy, ML consulting, cloud solutions, and cyber risk management, positioning ML as a tool for business forecasting, fraud detection, and process optimisation within broader transformation programmes. (Founding year and scale per Centric Consulting official website.)
Services and capabilities: DataArt vs Centric Consulting
| Capability | DataArt | Centric Consulting |
|---|---|---|
| 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 Centric Consulting
| Framework / platform | DataArt | Centric Consulting |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: DataArt vs Centric Consulting
| Criterion | DataArt | Centric Consulting |
|---|---|---|
| Minimum engagement | $50K+ | $50K+ |
| Engagement models | T&M, Dedicated team, Retainer | T&M, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataArt vs Centric Consulting
| Dimension | DataArt | Centric Consulting |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | fintech, healthcare, travel | financial, healthcare, manufacturing |
| Best use cases | ML feature integration into existing fintech platform, Travel recommendation engine | ML strategy within business transformation, Forecasting model for manufacturing operations |
| Typical project type | T&M | T&M |
DataArt vs Centric Consulting: 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 |
| Centric Consulting | |
|---|---|
| + | 25 years of US management consulting experience — strong business context |
| + | ML integrated within broader transformation programme delivery |
| + | Multiple US locations — accessible for on-site engagement |
| + | Azure and cloud expertise alongside ML consulting |
| - | ML is an ancillary offering within management consulting — not ML-first |
| - | Higher overhead than boutique ML agencies — pricing reflects consulting firm structure |
| - | Less suited to pure technical ML builds or data engineering |
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 Centric Consulting?
Centric Consulting is the right choice for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.
Business-outcome ML consulting — AI within management transformation, not pure technology delivery. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, retail, logistics.
Decision matrix: DataArt vs Centric Consulting
| 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 Centric Consulting
| Use case | DataArt fit | Centric Consulting fit | Winner |
|---|---|---|---|
| ML feature integration into existing fintech platform | Strong | Strong | Both equally |
| Travel recommendation engine | Strong | Limited | DataArt |
| ML strategy within business transformation | Strong | Strong | Both equally |
| Forecasting model for manufacturing operations | Limited | Strong | Centric Consulting |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs Centric Consulting
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.
Centric Consulting (3.7/5) is the better choice when uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. If your situation matches those criteria, Centric Consulting is a competitive option.
Related comparisons
DataArt vs Centric Consulting FAQ
Is DataArt better than Centric Consulting?
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. Centric Consulting is better for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.
How do DataArt and Centric Consulting differ in pricing?
DataArt uses t&m, dedicated team pricing with a minimum engagement of $50K+. Centric Consulting uses t&m, retainer 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 Centric Consulting?
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 Centric Consulting?
DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. Centric Consulting's primary differentiator is: business-outcome ml consulting — ai within management transformation, not pure technology delivery. They also differ in team size (5,700+ vs 800+), 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.