Plain Concepts vs SDG Group: full comparison for 2026
Last updated: July 2026
Quick verdict
Plain Concepts (3.9/5) edges ahead of SDG Group (3.7/5) overall. Plain Concepts is the better choice for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery. 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.
Plain Concepts vs SDG Group: head-to-head summary
| Criterion | Plain Concepts | SDG Group |
|---|---|---|
| Founded | 2006 | 1994 |
| HQ | Madrid, Spain | Milan, Italy |
| Team size | 201–500 | 1000+ |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Best for | Enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery | Large enterprises wanting ML-driven analytics embedded within a broader business performance management programme |
| Pricing model | Dedicated team, fixed project, retainer | Retainer, dedicated team, fixed project |
| Min. engagement | $35K | $50K |
| Primary tech stack | Python, Azure ML, Azure OpenAI Service | Python, Power BI, Tableau |
| Industries served | Enterprise, Retail, Healthcare, Financial Services | Enterprise, Financial Services, Retail, Telecommunications |
Plain Concepts vs SDG Group: overview
Plain Concepts
Plain Concepts, founded in 2006 and headquartered in Madrid, Spain, is a 450-plus person technology consultancy with offices across the USA, UK, Spain, Germany, the Netherlands, and Romania. As a Microsoft Gold Partner, Microsoft AI Partner, and 2016 Microsoft Partner of the Year, Plain Concepts brings deep Azure-native AI and machine learning delivery experience alongside mixed reality and IoT engineering.
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: Plain Concepts vs SDG Group
| Capability | Plain Concepts | SDG Group |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Plain Concepts vs SDG Group
| Framework / platform | Plain Concepts | SDG Group |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Plain Concepts vs SDG Group
| Criterion | Plain Concepts | SDG Group |
|---|---|---|
| Minimum engagement | $35K | $50K |
| Engagement models | Dedicated team, Fixed project, Retainer | Retainer, Dedicated team, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Plain Concepts vs SDG Group
| Dimension | Plain Concepts | SDG Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Enterprise, Retail, Healthcare | Enterprise, Financial Services, Retail |
| Best use cases | Azure-native ML model deployment for an enterprise client, Mixed reality plus AI product development | Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients |
| Typical project type | Dedicated team | Retainer |
Plain Concepts vs SDG Group: pros and cons
| Plain Concepts | |
|---|---|
| + | Two decades of operating history since founding in 2006, with Microsoft Gold and AI Partner status |
| + | Multi-country office footprint across Spain, the UK, Germany, the Netherlands, Romania, and the US for broad coverage |
| + | Deep Azure-native ML and AI delivery credentials, useful for Microsoft-standardized enterprises |
| + | Recognized with Microsoft Partner of the Year award in 2016 |
| - | Azure-centric specialization may be less ideal for clients standardized on AWS or GCP |
| - | Broader technology consultancy scope, including mixed reality and IoT, means ML is one of several core practices |
| - | Larger enterprise-oriented engagement sizes, less accessible for very small startup budgets |
| 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 Plain Concepts?
Plain Concepts is the right choice for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery.
Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. Minimum engagement starts at $35K. Works best with clients in Enterprise, Retail, Healthcare, Financial Services.
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: Plain Concepts vs SDG Group
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Plain Concepts |
| You need a large dedicated team for an ongoing programme | Plain Concepts |
| Your budget is at the lower end | Plain Concepts |
| You need specialist depth in a specific vertical | Plain Concepts |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Plain Concepts |
Use case fit: Plain Concepts vs SDG Group
| Use case | Plain Concepts fit | SDG Group fit | Winner |
|---|---|---|---|
| Azure-native ML model deployment for an enterprise client | Strong | Limited | Plain Concepts |
| Mixed reality plus AI product development | Strong | Limited | Plain Concepts |
| Enterprise business performance management with an ML component | Strong | Strong | Both equally |
| 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: Plain Concepts vs SDG Group
Plain Concepts (3.9/5) is the stronger overall choice for most Machine Learning Development projects. Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. It is best for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery.
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
Plain Concepts vs SDG Group FAQ
Is Plain Concepts better than SDG Group?
Plain Concepts (3.9/5) scores higher overall, but "better" depends on your use case. Plain Concepts is better for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.
How do Plain Concepts and SDG Group differ in pricing?
Plain Concepts uses dedicated team, fixed project, retainer pricing with a minimum engagement of $35K. 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: Plain Concepts or SDG Group?
Plain Concepts 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 Plain Concepts and SDG Group?
Plain Concepts's primary differentiator is: deep azure-native ai and ml delivery credentials as a microsoft gold and ai partner, plus mixed reality expertise. 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 (201–500 vs 1000+), minimum engagement ($35K vs $50K), and primary industries served (Enterprise, Retail vs Enterprise, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.