DataRoot Labs vs Siili Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
DataRoot Labs (4.5/5) edges ahead of Siili Solutions (3.7/5) overall. DataRoot Labs is the better choice for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates. Siili Solutions is the stronger option for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. The right choice depends on your project size, budget, and required tech stack.
DataRoot Labs vs Siili Solutions: head-to-head summary
| Criterion | DataRoot Labs | Siili Solutions |
|---|---|---|
| Founded | 2016 | 2005 |
| HQ | Kyiv, Ukraine | Helsinki, Finland |
| Team size | 11–50 | 501–1000 |
| Rating | 4.5 / 5 | 3.7 / 5 |
| Best for | Startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates | Nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner |
| Pricing model | Fixed project, dedicated team | Dedicated team, retainer, fixed project |
| Min. engagement | $15K | $30K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Java, AWS |
| Industries served | Healthcare, Retail, Logistics, E-commerce | Enterprise, Telecommunications, Financial Services, Retail |
DataRoot Labs vs Siili Solutions: overview
DataRoot Labs
DataRoot Labs is an AI and machine learning development company founded in 2016 in Kyiv, Ukraine by Ivan Didur, Max Frolov, and Yuliya Sychikova. With a compact team of roughly 26 specialists, the studio builds custom ML solutions spanning computer vision, predictive analytics, and NLP for clients in healthcare, retail, and logistics. As an unfunded, founder-led company, it operates with lean overhead and close founder involvement on client projects.
Siili Solutions
Siili Solutions Oyj, founded in 2005 and headquartered in Helsinki, Finland, is a publicly listed IT consultancy on Nasdaq Helsinki (ticker SIILI) with 500 to over 1,000 employees across 19 locations. Siili offers software development, digital transformation, and machine learning services, and expanded its AI and digital product capabilities in part through its 2020 acquisition of Budapest-based Supercharge, disclosed here as an ownership change affecting Siili's broader group structure.
Services and capabilities: DataRoot Labs vs Siili Solutions
| Capability | DataRoot Labs | Siili Solutions |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: DataRoot Labs vs Siili Solutions
| Framework / platform | DataRoot Labs | Siili Solutions |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: DataRoot Labs vs Siili Solutions
| Criterion | DataRoot Labs | Siili Solutions |
|---|---|---|
| Minimum engagement | $15K | $30K |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataRoot Labs vs Siili Solutions
| Dimension | DataRoot Labs | Siili Solutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Logistics | Enterprise, Telecommunications, Financial Services |
| Best use cases | Computer vision for retail shelf and inventory monitoring, Predictive analytics for healthcare patient outcomes | Enterprise digital transformation with an ML component, Nordic-region software development and data engineering |
| Typical project type | Fixed project | Dedicated team |
DataRoot Labs vs Siili Solutions: pros and cons
| DataRoot Labs | |
|---|---|
| + | Nearly a decade of focused delivery experience since founding in 2016 |
| + | Founder-led team keeps senior expertise directly involved in client work |
| + | Competitive Eastern European pricing relative to Western European or US firms |
| + | Specific vertical depth in healthcare and retail computer vision use cases |
| - | Ukraine-based delivery carries geopolitical and operational-continuity risk clients should factor into vendor due diligence |
| - | Small team (around 26) limits capacity for large concurrent programmes |
| - | Remains unfunded and bootstrapped, which may limit scaling speed versus VC-backed peers |
| Siili Solutions | |
|---|---|
| + | Publicly listed on Nasdaq Helsinki, providing financial transparency and stability signals |
| + | Two decades of operating history since founding in 2005, with a large, established Nordic footprint |
| + | 19 office locations support broad European coverage and delivery flexibility |
| + | Expanded AI and digital product capability via its 2020 acquisition of Supercharge in Budapest |
| - | AI and ML is one practice within a much broader generalist IT consultancy portfolio |
| - | 2020 acquisition of Supercharge represents a group ownership change worth understanding before engaging that subsidiary specifically |
| - | Larger public-company structure may mean less flexibility than privately held boutiques |
Who should choose DataRoot Labs?
DataRoot Labs is the right choice for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates.
Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience. Minimum engagement starts at $15K. Works best with clients in Healthcare, Retail, Logistics, E-commerce.
Who should choose Siili Solutions?
Siili Solutions is the right choice for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms. Minimum engagement starts at $30K. Works best with clients in Enterprise, Telecommunications, Financial Services, Retail.
Decision matrix: DataRoot Labs vs Siili Solutions
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DataRoot Labs |
| You need a large dedicated team for an ongoing programme | DataRoot Labs |
| Your budget is at the lower end | DataRoot Labs |
| You need specialist depth in a specific vertical | DataRoot Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Siili Solutions |
Use case fit: DataRoot Labs vs Siili Solutions
| Use case | DataRoot Labs fit | Siili Solutions fit | Winner |
|---|---|---|---|
| Computer vision for retail shelf and inventory monitoring | Strong | Limited | DataRoot Labs |
| Predictive analytics for healthcare patient outcomes | Strong | Limited | DataRoot Labs |
| Enterprise digital transformation with an ML component | Limited | Strong | Siili Solutions |
| Nordic-region software development and data engineering | Limited | Strong | Siili Solutions |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataRoot Labs vs Siili Solutions
DataRoot Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience. It is best for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates.
Siili Solutions (3.7/5) is the better choice when nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. If your situation matches those criteria, Siili Solutions is a competitive option.
Related comparisons
DataRoot Labs vs Siili Solutions FAQ
Is DataRoot Labs better than Siili Solutions?
DataRoot Labs (4.5/5) scores higher overall, but "better" depends on your use case. DataRoot Labs is better for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates. Siili Solutions is better for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
How do DataRoot Labs and Siili Solutions differ in pricing?
DataRoot Labs uses fixed project, dedicated team pricing with a minimum engagement of $15K. Siili Solutions uses dedicated team, retainer, fixed project pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataRoot Labs or Siili Solutions?
Siili Solutions 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 DataRoot Labs and Siili Solutions?
DataRoot Labs's primary differentiator is: founder-led, unfunded boutique with nearly a decade of focused custom ml delivery experience. Siili Solutions's primary differentiator is: publicly traded on nasdaq helsinki, offering financial transparency uncommon among privately held ml firms. They also differ in team size (11–50 vs 501–1000), minimum engagement ($15K vs $30K), and primary industries served (Healthcare, Retail vs Enterprise, Telecommunications).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.