Gemmo vs SDG Group: full comparison for 2026
Last updated: July 2026
Quick verdict
Gemmo (4.0/5) edges ahead of SDG Group (3.7/5) overall. Gemmo is the better choice for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. 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.
Gemmo vs SDG Group: head-to-head summary
| Criterion | Gemmo | SDG Group |
|---|---|---|
| Founded | 2014 | 1994 |
| HQ | Dublin, Ireland (AI Lab in Milan, Italy) | Milan, Italy |
| Team size | 11–50 | 1000+ |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization | Large enterprises wanting ML-driven analytics embedded within a broader business performance management programme |
| Pricing model | Fixed-price discovery engagement, dedicated team | Retainer, dedicated team, fixed project |
| Min. engagement | $15K | $50K |
| Primary tech stack | Python, Scikit-learn, AWS | Python, Power BI, Tableau |
| Industries served | Sustainability, Manufacturing, Enterprise, Public Sector | Enterprise, Financial Services, Retail, Telecommunications |
Gemmo vs SDG Group: overview
Gemmo
Gemmo AI, founded in 2014 by Dr Luca Marchesotti and headquartered in Dublin, Ireland, is a boutique AI firm with an additional AI Lab in Milan, Italy. Gemmo blends strategic AI consulting with hands-on technical implementation through a structured engagement model: AI Pathfinder for opportunity discovery, followed by AI Implementation and AI Optimization phases. The firm won Best Application of AI in Sustainability at the 2023 AI Awards for a noise-source-identification API, per company website; independently unverifiable.
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: Gemmo vs SDG Group
| Capability | Gemmo | SDG Group |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Gemmo vs SDG Group
| Framework / platform | Gemmo | SDG Group |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Gemmo vs SDG Group
| Criterion | Gemmo | 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: Gemmo vs SDG Group
| Dimension | Gemmo | SDG Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Sustainability, Manufacturing, Enterprise | Enterprise, Financial Services, Retail |
| Best use cases | Structured AI opportunity discovery for a company new to AI adoption, Sustainability-focused AI applications such as noise or environmental monitoring | Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients |
| Typical project type | Fixed project | Retainer |
Gemmo vs SDG Group: pros and cons
| Gemmo | |
|---|---|
| + | Structured, staged engagement model reduces risk of open-ended AI consulting scope creep |
| + | Dual Dublin and Milan presence gives coverage across two distinct European markets |
| + | Award recognition for a real-world sustainability application at the 2023 AI Awards, per company website |
| + | Founder-led boutique structure keeps senior AI expertise close to client engagements |
| - | Small team size of 11 to 50 limits capacity for large, multi-workstream enterprise programmes |
| - | Founded in 2014 with a public track record still smaller than more established European AI consultancies |
| - | Award and case-study claims are self-reported and not independently verifiable |
| 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 Gemmo?
Gemmo is the right choice for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer. Minimum engagement starts at $15K. Works best with clients in Sustainability, Manufacturing, Enterprise, Public Sector.
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: Gemmo vs SDG Group
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Gemmo |
| You need a large dedicated team for an ongoing programme | Gemmo |
| Your budget is at the lower end | Gemmo |
| You need specialist depth in a specific vertical | Gemmo |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Gemmo |
Use case fit: Gemmo vs SDG Group
| Use case | Gemmo fit | SDG Group fit | Winner |
|---|---|---|---|
| Structured AI opportunity discovery for a company new to AI adoption | Strong | Limited | Gemmo |
| Sustainability-focused AI applications such as noise or environmental monitoring | Strong | Limited | Gemmo |
| 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: Gemmo vs SDG Group
Gemmo (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer. It is best for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
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
Gemmo vs SDG Group FAQ
Is Gemmo better than SDG Group?
Gemmo (4.0/5) scores higher overall, but "better" depends on your use case. Gemmo is better for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.
How do Gemmo and SDG Group differ in pricing?
Gemmo uses fixed-price discovery engagement, 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: Gemmo or SDG Group?
Gemmo 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 Gemmo and SDG Group?
Gemmo's primary differentiator is: structured three-phase engagement model of pathfinder, implementation, and optimization, rather than an open-ended consulting retainer. 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 (Sustainability, Manufacturing vs Enterprise, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.