Best Machine Learning Development Companies in Europe

Neoteric vs SDG Group: full comparison for 2026

Last updated: July 2026

Quick verdict

Neoteric (4.3/5) edges ahead of SDG Group (3.7/5) overall. Neoteric is the better choice for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product. 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.

Neoteric vs SDG Group: head-to-head summary

Criterion Neoteric SDG Group
Founded 2005 1994
HQ Gdansk, Poland Milan, Italy
Team size 51–200 1000+
Rating 4.3 / 5 3.7 / 5
Best for Mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product 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 $20K $50K
Primary tech stack Python, OpenAI API, LangChain Python, Power BI, Tableau
Industries served SaaS, Fintech, Healthcare, Enterprise Enterprise, Financial Services, Retail, Telecommunications

Neoteric vs SDG Group: overview

Neoteric

Neoteric was founded in 2005 and is headquartered in Gdansk, Poland, with an additional office in New York. The midsize company specializes in generative AI, AI consulting, and custom software development, helping clients move from AI proof-of-concept to production deployment.

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: Neoteric vs SDG Group

Capability Neoteric SDG Group
ML model development
Computer vision
NLP
Generative AI / LLM integration
MLOps
AI strategy consulting
Staff augmentation

Tech stack comparison: Neoteric vs SDG Group

Framework / platform Neoteric SDG Group
Python
TensorFlow N/A N/A
PyTorch N/A N/A
AWS
Azure
Kubernetes N/A N/A

Pricing comparison: Neoteric vs SDG Group

Criterion Neoteric SDG Group
Minimum engagement $20K $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: Neoteric vs SDG Group

Dimension Neoteric SDG Group
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, Healthcare Enterprise, Financial Services, Retail
Best use cases Taking a generative AI proof-of-concept to production, LLM integration into an existing SaaS product Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients
Typical project type Fixed project Retainer

Neoteric vs SDG Group: pros and cons

Neoteric
+ Two decades of operating history since founding in 2005 as a Polish software consultancy
+ Dedicated generative AI practice, not a bolted-on service line
+ New York office provides closer coverage for US-based clients
+ Track record spanning both custom software delivery and AI-specific projects
- Broader custom-software heritage means ML and AI is one of several practice areas
- Mid-size team may have longer ramp time for highly specialized ML research work
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 Neoteric?

Neoteric is the right choice for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product.

Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office. Minimum engagement starts at $20K. Works best with clients in SaaS, Fintech, Healthcare, Enterprise.

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: Neoteric vs SDG Group

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Neoteric
You need a large dedicated team for an ongoing programme Neoteric
Your budget is at the lower end Neoteric
You need specialist depth in a specific vertical Neoteric
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Neoteric

Use case fit: Neoteric vs SDG Group

Use case Neoteric fit SDG Group fit Winner
Taking a generative AI proof-of-concept to production Strong Limited Neoteric
LLM integration into an existing SaaS product Strong Limited Neoteric
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: Neoteric vs SDG Group

Neoteric (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office. It is best for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product.

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

Neoteric vs SDG Group FAQ

Is Neoteric better than SDG Group?

Neoteric (4.3/5) scores higher overall, but "better" depends on your use case. Neoteric is better for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.

How do Neoteric and SDG Group differ in pricing?

Neoteric uses fixed project, dedicated team pricing with a minimum engagement of $20K. 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: Neoteric or SDG Group?

Neoteric 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 Neoteric and SDG Group?

Neoteric's primary differentiator is: two-decade-old polish software house with a dedicated generative ai practice and a us-facing new york office. 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 (51–200 vs 1000+), minimum engagement ($20K vs $50K), and primary industries served (SaaS, Fintech vs Enterprise, Financial Services).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.