DataRoot Labs vs SDG Group: full comparison for 2026
Last updated: July 2026
Quick verdict
DataRoot Labs (4.5/5) edges ahead of SDG Group (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. SDG Group is the stronger option for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme. The right choice depends on your project size, budget, and required tech stack.
DataRoot Labs vs SDG Group: head-to-head summary
| Criterion | DataRoot Labs | SDG Group |
|---|---|---|
| Founded | 2016 | 1994 |
| HQ | Kyiv, Ukraine | Milan, Italy |
| Team size | 11–50 | 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 | Large enterprises wanting ML-driven analytics embedded within a broader business performance management programme |
| Pricing model | Fixed project, dedicated team | Retainer, dedicated team, fixed project |
| Min. engagement | $15K | $50K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Power BI, Tableau |
| Industries served | Healthcare, Retail, Logistics, E-commerce | Enterprise, Financial Services, Retail, Telecommunications |
DataRoot Labs vs SDG Group: 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.
SDG Group
SDG Group, founded in 1994 and headquartered in Milan, Italy, is a global management consulting firm with roughly 2,000 employees and offices spanning Milan, Barcelona, London, and beyond. SDG Group specializes in business performance management and analytical applications, with machine learning and AI delivered as part of its broader business intelligence and enterprise analytics consulting practice.
Services and capabilities: DataRoot Labs vs SDG Group
| Capability | DataRoot Labs | SDG Group |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: DataRoot Labs vs SDG Group
| Framework / platform | DataRoot Labs | SDG Group |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: DataRoot Labs vs SDG Group
| Criterion | DataRoot Labs | SDG Group |
|---|---|---|
| Minimum engagement | $15K | $50K |
| Engagement models | Fixed project, Dedicated team | Retainer, Dedicated team, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataRoot Labs vs SDG Group
| Dimension | DataRoot Labs | SDG Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Logistics | Enterprise, Financial Services, Retail |
| Best use cases | Computer vision for retail shelf and inventory monitoring, Predictive analytics for healthcare patient outcomes | Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients |
| Typical project type | Fixed project | Retainer |
DataRoot Labs vs SDG Group: 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 |
| SDG Group | |
|---|---|
| + | Three decades of operating history since founding in 1994, as a global management consulting firm |
| + | Enterprise-scale delivery capacity of roughly 2,000 staff across multiple European and international offices |
| + | Deep business performance management heritage grounds AI work in measurable business outcomes |
| + | Established relationships with large enterprise clients across multiple industries |
| - | AI and ML is embedded within a much broader business intelligence and management consulting practice, not a dedicated specialization |
| - | High minimum engagement size, inaccessible for startups or small businesses |
| - | Management-consulting-led engagement model may add overhead versus lean engineering-only ML shops |
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 SDG Group?
SDG Group is the right choice for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.
Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes. Minimum engagement starts at $50K. Works best with clients in Enterprise, Financial Services, Retail, Telecommunications.
Decision matrix: DataRoot Labs vs SDG Group
| 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 | SDG Group |
Use case fit: DataRoot Labs vs SDG Group
| Use case | DataRoot Labs fit | SDG Group 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 business performance management with an ML component | Limited | Strong | SDG Group |
| Large-scale analytical applications for finance or retail clients | Limited | Strong | SDG Group |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataRoot Labs vs SDG Group
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.
SDG Group (3.7/5) is the better choice when large enterprises wanting ML-driven analytics embedded within a broader business performance management programme. If your situation matches those criteria, SDG Group is a competitive option.
Related comparisons
DataRoot Labs vs SDG Group FAQ
Is DataRoot Labs better than SDG Group?
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. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.
How do DataRoot Labs and SDG Group differ in pricing?
DataRoot Labs uses fixed project, dedicated team pricing with a minimum engagement of $15K. SDG Group uses retainer, dedicated team, fixed project 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: DataRoot Labs or SDG Group?
DataRoot Labs 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 SDG Group?
DataRoot Labs's primary differentiator is: founder-led, unfunded boutique with nearly a decade of focused custom ml delivery experience. SDG Group's primary differentiator is: three decades of management consulting heritage applied to enterprise-scale analytics and ai programmes. They also differ in team size (11–50 vs 1000+), minimum engagement ($15K vs $50K), and primary industries served (Healthcare, Retail vs Enterprise, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.