DataArt vs Simform: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of Simform (3.8/5) overall. DataArt is the better choice for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks.. Simform is the stronger option for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Simform: head-to-head summary
| Criterion | DataArt | Simform |
|---|---|---|
| Founded | 1997 | 2010 |
| HQ | New York, New York, United States | Orlando, Florida, United States |
| Team size | 6,000+ | 500–1,300 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks. | Companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering. |
| Pricing model | Time & materials, managed engagement | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AWS, Azure | AWS, Kubernetes, Apache Spark |
| Industries served | FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality | Retail & E-commerce, Healthcare, FinTech, Manufacturing |
DataArt vs Simform: overview
DataArt
DataArt was founded in 1997 in New York City by Eugene Goland and has grown to more than 6,000 engineers across 40+ locations in the US, UK, Europe, Latin America, India, and the Middle East. The firm delivers data, analytics, and AI platforms for finance, media, healthcare, retail, and travel clients, built around Artisyn, its AI-enabled operating model that embeds AI agents and governance frameworks across the software development lifecycle, including regulated industries. Clients cited on its Clutch profile include Priceline, Ocado Technology, Legal & General, and Flutter Entertainment.
Simform
Simform was founded in 2010 and is headquartered in Orlando, Florida, growing to a reported 500–1,300 employees (sources vary) across full-suite digital engineering capabilities including cloud, DevOps, data, and AI/ML engineering. The firm was recognized as a 2023 Fall Clutch Champion and ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023, a notable third-party distinction. Its broad 'digital engineering' positioning means AI/ML is one of several core engineering disciplines rather than the company's primary identity.
Services and capabilities: DataArt vs Simform
| Capability | DataArt | Simform |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: DataArt vs Simform
| Framework / platform | DataArt | Simform |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | ✓ |
Pricing comparison: DataArt vs Simform
| Criterion | DataArt | Simform |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Managed engagement, Time & materials, Dedicated team | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataArt vs Simform
| Dimension | DataArt | Simform |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Media & Entertainment, Healthcare | Retail & E-commerce, Healthcare, FinTech |
| Best use cases | Regulated financial services or healthcare company needs AI delivery with a built-in governance framework., Enterprise wants a vendor with named, publicly referenceable clients like Priceline and Legal & General. | Company needs AI/ML engineering delivered alongside cloud infrastructure and DevOps from one vendor., Enterprise wants a vendor with a top-2 global Clutch B2B ranking for procurement confidence. |
| Typical project type | Managed engagement | Dedicated team |
DataArt vs Simform: pros and cons
| DataArt | |
|---|---|
| + | Named enterprise clients (Priceline, Ocado Technology, Legal & General, Flutter Entertainment) are independently verifiable via public case studies. |
| + | 27+ years of operating history (since 1997) gives it one of the longer track records in this list. |
| + | Artisyn operating model specifically addresses AI governance for regulated industries like financial services and healthcare, a genuine differentiator. |
| + | 6,000+ engineers across 40+ global locations provide substantial delivery capacity and geographic flexibility. |
| - | At 6,000+ employees, engagements are structured around managed delivery rather than close founder-level involvement. |
| - | AI/ML is one of several core service lines (alongside broader data/analytics platform work), not the firm's exclusive focus. |
| Simform | |
|---|---|
| + | Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023, a strong independently sourced distinction. |
| + | 500–1,300 person scale (reports vary) supports large, multi-workstream cloud + AI/ML programs. |
| + | 14+ years of company history (since 2010) with full-suite digital engineering capability beyond AI alone. |
| + | Combines cloud/DevOps engineering with AI/ML, reducing hand-off friction between infrastructure and model delivery teams. |
| - | Reported employee count varies significantly across sources (500–1,000 vs. ~1,300), so confirm current scale directly. |
| - | AI/ML is one of several core engineering disciplines (cloud, DevOps, data) rather than the firm's exclusive specialty. |
Who should choose DataArt?
DataArt is the right choice for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks..
Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle.. Minimum engagement starts at Not published. Works best with clients in FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality.
Who should choose Simform?
Simform is the right choice for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering..
Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, FinTech, Manufacturing.
Decision matrix: DataArt vs Simform
| 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 | Compare: DataArt (Not published) vs Simform (Not published) |
| You need specialist depth in a specific vertical | DataArt |
| You need production MLOps support after model launch | Simform |
| You need consulting before committing to a build | DataArt |
Use case fit: DataArt vs Simform
| Use case | DataArt fit | Simform fit | Winner |
|---|---|---|---|
| Regulated financial services or healthcare company needs AI delivery with a built-in governance framework. | Strong | Limited | DataArt |
| Enterprise wants a vendor with named, publicly referenceable clients like Priceline and Legal & General. | Strong | Strong | Both equally |
| Company needs AI/ML engineering delivered alongside cloud infrastructure and DevOps from one vendor. | Strong | Strong | Both equally |
| Enterprise wants a vendor with a top-2 global Clutch B2B ranking for procurement confidence. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: DataArt vs Simform
DataArt (3.9/5) is the stronger overall choice for most Machine Learning Development projects. Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle.. It is best for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks..
Simform (3.8/5) is the better choice when companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.. If your situation matches those criteria, Simform is a competitive option.
Related comparisons
DataArt vs Simform FAQ
Is DataArt better than Simform?
DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt is better for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks.. Simform is better for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering..
How do DataArt and Simform differ in pricing?
DataArt uses time & materials, managed engagement pricing with a minimum engagement of Not published. Simform uses time & materials, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or Simform?
Simform is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between DataArt and Simform?
DataArt's primary differentiator is: artisyn, a proprietary ai-enabled operating model embedding governance and ai agents across the delivery lifecycle.. Simform's primary differentiator is: ranked #2 worldwide among clutch's top b2b service providers of 2023 — one of the strongest third-party rankings in this list.. They also differ in team size (6,000+ vs 500–1,300), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Media & Entertainment vs Retail & E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.