Tensorway vs SDG Group: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.9/5) edges ahead of SDG Group (3.7/5) overall. Tensorway is the better choice for startups and mid-market companies needing a dedicated, senior ML team without enterprise-agency overhead. 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.
Tensorway vs SDG Group: head-to-head summary
| Criterion | Tensorway | SDG Group |
|---|---|---|
| Founded | 2019 | 1994 |
| HQ | Alicante, Spain | Milan, Italy |
| Team size | 11–50 | 1000+ |
| Rating | 4.9 / 5 | 3.7 / 5 |
| Best for | Startups and mid-market companies needing a dedicated, senior ML team without enterprise-agency overhead | Large enterprises wanting ML-driven analytics embedded within a broader business performance management programme |
| Pricing model | Fixed-price PoC, Time & Material, Dedicated Team, MVP Development | Retainer, dedicated team, fixed project |
| Min. engagement | $15K | $50K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Power BI, Tableau |
| Industries served | SaaS, Legal Tech, E-commerce, Healthcare, Financial Services | Enterprise, Financial Services, Retail, Telecommunications |
Tensorway vs SDG Group: overview
Tensorway
Tensorway is a Spain-headquartered machine learning and AI development company spun out of Anadea, a 25-year-old software engineering firm. The team of roughly 30 dedicated data scientists, AI engineers, and MLOps specialists delivers custom ML models, computer vision, NLP, and generative AI systems for clients across Europe and the US. Tensorway inherits Anadea's delivery infrastructure and hiring pipeline, giving it more engineering depth than most boutiques its size (15+ delivered ML projects per company website; independently unverifiable). As a relatively young standalone brand founded in 2019, its own market track record is shorter than its parent company's.
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: Tensorway vs SDG Group
| Capability | Tensorway | SDG Group |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI / LLM integration | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Tensorway vs SDG Group
| Framework / platform | Tensorway | SDG Group |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs SDG Group
| Criterion | Tensorway | SDG Group |
|---|---|---|
| Minimum engagement | $15K | $50K |
| Engagement models | Fixed project, Dedicated team, Time and materials, MVP development | Retainer, Dedicated team, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Tensorway vs SDG Group
| Dimension | Tensorway | SDG Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Legal Tech, E-commerce | Enterprise, Financial Services, Retail |
| Best use cases | Building a production computer vision pipeline for document processing, Deploying a customer-facing AI chatbot or LLM-integrated agent | Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients |
| Typical project type | Fixed project | Retainer |
Tensorway vs SDG Group: pros and cons
| Tensorway | |
|---|---|
| + | Full ML delivery stack in-house: data science, MLOps/DevSecOps, and QA under one roof |
| + | Backed by Anadea's 25-year engineering track record and hiring pipeline |
| + | Broad service range from LLM integration to computer vision to predictive analytics |
| + | Flexible engagement models including fixed-price PoC for budget-constrained startups |
| + | Based in the EU (Spain), simplifying GDPR-compliant data handling for European clients |
| - | Young standalone brand (founded 2019) with a shorter independent track record than its 25-year-old parent Anadea |
| - | Public case studies are limited in number relative to larger regional players |
| - | Smaller team size (around 30) means less capacity for very large enterprise programmes |
| 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 Tensorway?
Tensorway is the right choice for startups and mid-market companies needing a dedicated, senior ML team without enterprise-agency overhead.
Full-stack ML delivery team (data science, MLOps, QA) inherited from a 25-year-old parent company, at boutique-agency pricing. Minimum engagement starts at $15K. Works best with clients in SaaS, Legal Tech, E-commerce, 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: Tensorway vs SDG Group
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Tensorway |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| 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: Tensorway vs SDG Group
| Use case | Tensorway fit | SDG Group fit | Winner |
|---|---|---|---|
| Building a production computer vision pipeline for document processing | Strong | Limited | Tensorway |
| Deploying a customer-facing AI chatbot or LLM-integrated agent | Strong | Limited | Tensorway |
| 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: Tensorway vs SDG Group
Tensorway (4.9/5) is the stronger overall choice for most Machine Learning Development projects. Full-stack ML delivery team (data science, MLOps, QA) inherited from a 25-year-old parent company, at boutique-agency pricing. It is best for startups and mid-market companies needing a dedicated, senior ML team without enterprise-agency overhead.
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
Tensorway vs SDG Group FAQ
Is Tensorway better than SDG Group?
Tensorway (4.9/5) scores higher overall, but "better" depends on your use case. Tensorway is better for startups and mid-market companies needing a dedicated, senior ML team without enterprise-agency overhead. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.
How do Tensorway and SDG Group differ in pricing?
Tensorway uses fixed-price poc, time & material, dedicated team, mvp development 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: Tensorway or SDG Group?
Tensorway 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 Tensorway and SDG Group?
Tensorway's primary differentiator is: full-stack ml delivery team (data science, mlops, qa) inherited from a 25-year-old parent company, at boutique-agency pricing. 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 (SaaS, Legal Tech vs Enterprise, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.