Top Machine Learning Development Services in Europe

STX Next vs SPD Technology: full comparison for 2026

Last updated: July 2026

Quick verdict

STX Next (4.0/5) edges ahead of SPD Technology (3.9/5) overall. STX Next is the better choice for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds.. SPD Technology is the stronger option for fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience.. The right choice depends on your project size, budget, and required tech stack.

STX Next vs SPD Technology: head-to-head summary

Criterion STX Next SPD Technology
Founded 2005 2006
HQ Poznań, Poland London, United Kingdom
Team size 330 650+
Rating 4.0 / 5 3.9 / 5
Best for Enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds. Fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience.
Pricing model Fixed project, dedicated team, staff augmentation Fixed project, dedicated team
Min. engagement Not published Not published
Primary tech stack Python, AWS, Snowflake Python, OpenAI API, Anthropic API
Industries served Financial Services, Manufacturing, Energy & Utilities, Healthcare, Retail/E-commerce Fintech, Financial Services

STX Next vs SPD Technology: overview

STX Next

STX Next is a Poznań, Poland software company founded in 2005, describing itself as the largest Python-focused software development company in Europe with 330 employees operating a fully remote model across the US, UK, DACH region, and Poland. It holds simultaneous AWS Advanced Tier, Snowflake, Databricks, Microsoft Azure, and Amazon Bedrock partnerships, and built and open-sourced DeepNext, an autonomous AI developer agent, serving financial services, private equity, manufacturing, oil & gas, and healthcare clients.

SPD Technology

SPD Technology is a London, UK software product development company founded in 2006, with 650+ engineers across 30+ countries and 460+ delivered custom projects. It secured direct partnerships with OpenAI, Anthropic, and AWS specifically to reinforce its cloud and AI/ML capabilities, serving fintech, digital payments, and data-engineering clients including PitchBook, Morningstar, and Blackhawk Network.

Services and capabilities: STX Next vs SPD Technology

Capability STX Next SPD Technology
ML Development
AI Consulting
Computer Vision
NLP
Generative AI
MLOps
Data Engineering
Staff Augmentation

Tech stack comparison: STX Next vs SPD Technology

Framework / platform STX Next SPD Technology
Python
AWS
Microsoft Azure N/A
Google Cloud N/A N/A
Kubernetes N/A N/A
PyTorch N/A N/A
LangChain N/A N/A
Databricks N/A

Pricing comparison: STX Next vs SPD Technology

Criterion STX Next SPD Technology
Minimum engagement Not published Not published
Engagement models Fixed project, Dedicated team, Staff augmentation Fixed project, Dedicated team, Staff augmentation
Rate transparency Not public Not public
Price tier Enterprise / mid-market Enterprise / mid-market

Target audience comparison: STX Next vs SPD Technology

Dimension STX Next SPD Technology
Best company size Mid-market to enterprise Mid-market to enterprise
Best industries Financial Services, Manufacturing, Energy & Utilities Fintech, Financial Services
Best use cases Python-native ML pipeline development, Multi-cloud MLOps using Databricks, Snowflake, and Bedrock Fintech and payments platform AI features, OpenAI/Anthropic-based generative AI integrations
Typical project type Fixed project Fixed project

STX Next vs SPD Technology: pros and cons

STX Next
+ Largest Python-focused software company in Europe (per company website), giving deep bench strength for Python-native ML engineering
+ Certified across AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock simultaneously — an unusually broad multi-cloud partner portfolio
+ Open-sourced its own autonomous AI dev agent (DeepNext), demonstrating in-house AI R&D beyond client work
+ 330 employees and a fully remote model across the US, UK, DACH, and Poland gives wide delivery flexibility
- AI and ML is one part of a much broader Python software-development practice, not the company's sole specialization
- 330-person scale means less boutique-style founder involvement than smaller specialists on this list
- Broad industry spread from banking to oil & gas trades vertical depth for breadth
SPD Technology
+ Direct partnerships with OpenAI and Anthropic, in addition to AWS, are a distinctive and verifiable technology relationship
+ 650+ engineers across 30+ countries and 460+ delivered custom projects show significant scale and reach
+ Notable enterprise clients including PitchBook, Morningstar, and Blackhawk Network
+ London HQ combined with globally distributed delivery centers balances local client access with cost-effective delivery
- AI/ML is one of several practices (fintech, payments, data engineering, cloud) rather than the company's sole focus
- 650+ person, 30+ country delivery footprint can mean variable team consistency across engagements
- Founded 2006 as a general software product company — AI/ML partnerships are a comparatively recent strategic addition

Who should choose STX Next?

STX Next is the right choice for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds..

Built and open-sourced DeepNext, an autonomous AI developer agent, and holds AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock partnerships simultaneously.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Energy & Utilities, Healthcare, Retail/E-commerce.

Who should choose SPD Technology?

SPD Technology is the right choice for fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience..

Secured direct partnerships with OpenAI, Anthropic, and AWS specifically to reinforce its cloud and AI/ML capabilities — a more direct foundation-model-vendor relationship than most peers on this list disclose.. Minimum engagement starts at Not published. Works best with clients in Fintech, Financial Services.

Decision matrix: STX Next vs SPD Technology

Your situation Recommended choice
You need full-ownership delivery on a defined project scope STX Next
You need a large dedicated team for an ongoing programme STX Next
Your budget is at the lower end Compare: STX Next (Not published) vs SPD Technology (Not published)
You need specialist depth in a specific vertical STX Next
You need staff augmentation or team extension STX Next
You need consulting before committing to a build Both may offer discovery engagements

Use case fit: STX Next vs SPD Technology

Use case STX Next fit SPD Technology fit Winner
Python-native ML pipeline development Strong Limited STX Next
Multi-cloud MLOps using Databricks, Snowflake, and Bedrock Strong Limited STX Next
Fintech and payments platform AI features Limited Strong SPD Technology
OpenAI/Anthropic-based generative AI integrations Limited Strong SPD Technology
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: STX Next vs SPD Technology

STX Next (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Built and open-sourced DeepNext, an autonomous AI developer agent, and holds AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock partnerships simultaneously.. It is best for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds..

SPD Technology (3.9/5) is the better choice when fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience.. If your situation matches those criteria, SPD Technology is a competitive option.

Related comparisons

STX Next vs SPD Technology FAQ

Is STX Next better than SPD Technology?

STX Next (4.0/5) scores higher overall, but "better" depends on your use case. STX Next is better for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds.. SPD Technology is better for fintech and payments companies wanting AI/ML delivered by a vendor with direct OpenAI and Anthropic partnerships and deep MVP-to-enterprise software product experience..

How do STX Next and SPD Technology differ in pricing?

STX Next uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. SPD Technology uses fixed project, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: STX Next or SPD Technology?

SPD Technology 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 STX Next and SPD Technology?

STX Next's primary differentiator is: built and open-sourced deepnext, an autonomous ai developer agent, and holds aws advanced tier, snowflake, databricks, azure, and amazon bedrock partnerships simultaneously.. SPD Technology's primary differentiator is: secured direct partnerships with openai, anthropic, and aws specifically to reinforce its cloud and ai/ml capabilities — a more direct foundation-model-vendor relationship than most peers on this list disclose.. They also differ in team size (330 vs 650+), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Manufacturing vs Fintech, Financial Services).

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