Softermii vs DataArt: full comparison for 2026
Quick verdict
Softermii (4.0/5) edges ahead of DataArt (3.9/5) overall. Softermii is the better choice for teams needing AI features built into a broader product. DataArt is the stronger option for enterprises in finance or healthcare needing AI at global scale. The right choice depends on your project size, budget, and required tech stack.
Softermii vs DataArt: head-to-head summary
| Criterion | Softermii | DataArt |
|---|---|---|
| Founded | 2014 | 1997 |
| HQ | Los Angeles, United States | New York, United States |
| Team size | 51-120 | 5,700+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Full-stack product development capability alongside newer AI service lines | Nearly 30 years of engineering history across 30-plus global delivery locations |
| Pricing model | Fixed project or dedicated team | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, React | Python, AWS, Azure |
| Industries served | Healthcare, Fintech, Media & entertainment | Financial services, Healthcare, Media & entertainment, Travel & hospitality |
Softermii vs DataArt: overview
Softermii
Softermii was founded in 2014 and lists its headquarters in Los Angeles, with reported employee counts ranging from roughly 88 to 120 depending on the source and date. The company works across custom software and platform development generally, with generative AI and machine learning as a newer but expanding line of business rather than its founding specialty. That broader base means clients get a partner who can build the surrounding product, not just the AI component, though it also means less depth than firms that have specialized in AI from day one.
DataArt
DataArt was founded in 1997 by Eugene Goland and is headquartered in New York City, with roughly 5,700 employees spread across more than 30 locations in the US, Europe, the UK, Latin America, and the UAE. The firm delivers data, analytics, and AI platforms for finance, media and entertainment, healthcare and life sciences, retail, and travel and hospitality clients. Nearly three decades of operating history gives it a longer track record than almost every other firm on this list, though AI is delivered as part of a broader software engineering practice rather than a standalone specialty.
Services and capabilities: Softermii vs DataArt
| Capability | Softermii | DataArt |
|---|---|---|
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Softermii vs DataArt
| Framework / platform | Softermii | DataArt |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Softermii vs DataArt
| Criterion | Softermii | DataArt |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Softermii vs DataArt
| Dimension | Softermii | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Media & entertainment | Financial services, Healthcare, Media & entertainment |
| Best use cases | Adding a generative AI feature to an existing web or mobile product., Building a new product where AI is one component among several, not the whole scope. | Building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs., Running a long-term AI and data engineering program with a financially established vendor. |
| Typical project type | Fixed project | Dedicated team |
Softermii vs DataArt: pros and cons
| Softermii | |
|---|---|
| + | Full-stack product development means AI features ship inside a complete, working product. |
| + | US headquarters with over a decade of software delivery history. |
| + | Comfortable working across web, mobile, and backend in addition to AI components. |
| + | Mid-size team keeps direct communication with senior engineers on most projects. |
| - | Generative AI is a newer addition to the service list rather than a founding specialty |
| - | Employee counts differ by roughly 35% across public trackers |
| DataArt | |
|---|---|
| + | Nearly three decades of software engineering history, among the longest on this list. |
| + | 5,700-plus employees across 30-plus locations globally. |
| + | Named industry focus areas (finance, healthcare, travel) show real vertical depth. |
| + | Data and analytics platform experience supports AI work that needs solid data foundations. |
| - | AI sits inside a much broader software engineering practice rather than being the firm's core identity |
| - | Enterprise scale typically means slower onboarding than smaller, more agile AI boutiques |
Who should choose Softermii?
A typical fit: adding a generative AI feature to an existing web or mobile product.
Full-stack product development capability alongside newer AI service lines. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, Media & entertainment.
Who should choose DataArt?
A typical fit: building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs.
Nearly 30 years of engineering history across 30-plus global delivery locations. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Media & entertainment, Travel & hospitality.
Decision matrix: Softermii vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Softermii |
| You need a large dedicated team for an ongoing programme | Softermii |
| Your budget is at the lower end | Compare: Softermii (Not disclosed) vs DataArt (Not disclosed) |
| 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 | Both may offer discovery engagements |
Use case fit: Softermii vs DataArt
| Use case | Softermii fit | DataArt fit | Winner |
|---|---|---|---|
| Adding a generative AI feature to an existing web or mobile product. | Strong | Limited | Softermii |
| Building a new product where AI is one component among several, not the whole scope. | Strong | Strong | Both equally |
| Building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs. | Strong | Strong | Both equally |
| Running a long-term AI and data engineering program with a financially established vendor. | Limited | Strong | DataArt |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Softermii vs DataArt
Softermii (4.0/5) is the stronger overall choice for most AI Development projects. Full-stack product development capability alongside newer AI service lines.
DataArt (3.9/5) is worth a look if you need running a long-term AI and data engineering program with a financially established vendor. If your situation matches that, DataArt is a competitive option.
Related comparisons
Softermii vs DataArt FAQ
Is Softermii better than DataArt?
Softermii (4.0/5) scores higher overall, but "better" depends on your use case. Softermii's strongest advantage: full-stack product development means AI features ship inside a complete, working product. DataArt's strongest advantage: nearly three decades of software engineering history, among the longest on this list.
How do Softermii and DataArt differ in pricing?
Softermii uses fixed project or dedicated team pricing. DataArt uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Softermii or DataArt?
Softermii 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 Softermii and DataArt?
Softermii's primary differentiator is: full-stack product development capability alongside newer AI service lines. DataArt's primary differentiator is: nearly 30 years of engineering history across 30-plus global delivery locations. They also differ in team size (51-120 vs 5,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Fintech vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.