Best Machine Learning Development Companies in Europe

CodeLeap vs SDG Group: full comparison for 2026

Last updated: July 2026

Quick verdict

CodeLeap (3.9/5) edges ahead of SDG Group (3.7/5) overall. CodeLeap is the better choice for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. 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.

CodeLeap vs SDG Group: head-to-head summary

Criterion CodeLeap SDG Group
Founded 2019 1994
HQ London, UK Milan, Italy
Team size 11–50 1000+
Rating 3.9 / 5 3.7 / 5
Best for Early-stage and growth-stage startups wanting fast, founder-friendly AI feature development 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, React, Node.js Python, Power BI, Tableau
Industries served SaaS, E-commerce, Fintech Enterprise, Financial Services, Retail, Telecommunications

CodeLeap vs SDG Group: overview

CodeLeap

CodeLeap, registered as Codeleap Ltd in England, was founded in 2019 and is headquartered in London, UK. The agency works closely with startups and growth-stage companies to build digital products with AI features, positioning itself around speed and a founder-friendly delivery model rather than large-scale enterprise engagement.

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: CodeLeap vs SDG Group

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

Tech stack comparison: CodeLeap vs SDG Group

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

Pricing comparison: CodeLeap vs SDG Group

Criterion CodeLeap 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: CodeLeap vs SDG Group

Dimension CodeLeap SDG Group
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, E-commerce, Fintech Enterprise, Financial Services, Retail
Best use cases Adding an AI feature to an early-stage startup product, Fast MVP development with an embedded ML component Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients
Typical project type Fixed project Retainer

CodeLeap vs SDG Group: pros and cons

CodeLeap
+ Legally registered in England with a London-based, client-facing team
+ Founder-friendly delivery model designed specifically around startup speed and iteration
+ Lower minimum engagement size than most enterprise-oriented firms on this list
+ Focused specifically on AI-featured digital product builds rather than broad enterprise IT
- Founded in 2019, one of the newer and smaller firms on this list with a shorter track record
- Small team size of 11 to 50 limits capacity for large, multi-workstream programmes
- Less suited to heavily regulated enterprise ML programmes than larger specialist firms
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 CodeLeap?

CodeLeap is the right choice for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.

Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. Minimum engagement starts at $15K. Works best with clients in SaaS, E-commerce, Fintech.

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: CodeLeap vs SDG Group

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

Use case fit: CodeLeap vs SDG Group

Use case CodeLeap fit SDG Group fit Winner
Adding an AI feature to an early-stage startup product Strong Limited CodeLeap
Fast MVP development with an embedded ML component Strong Limited CodeLeap
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: CodeLeap vs SDG Group

CodeLeap (3.9/5) is the stronger overall choice for most Machine Learning Development projects. Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. It is best for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.

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

CodeLeap vs SDG Group FAQ

Is CodeLeap better than SDG Group?

CodeLeap (3.9/5) scores higher overall, but "better" depends on your use case. CodeLeap is better for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.

How do CodeLeap and SDG Group differ in pricing?

CodeLeap 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: CodeLeap or SDG Group?

CodeLeap 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 CodeLeap and SDG Group?

CodeLeap's primary differentiator is: founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. 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, E-commerce vs Enterprise, Financial Services).

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