Best Software Development Outsourcing UK

Godel Technologies vs STX Next: full comparison for 2026

Quick verdict

Godel Technologies (4.4/5) edges ahead of STX Next (4.2/5) overall. Godel Technologies is the better choice for UK mid-market firms wanting a UK-run nearshore team. STX Next is the stronger option for python back ends and data products, Polish rates. The right choice depends on your project size, budget, and required tech stack.

Godel Technologies vs STX Next: head-to-head summary

Criterion Godel Technologies STX Next
Founded 2002 2005
HQ Manchester, United Kingdom Poznań, Poland
Team size 1,000–2,000 500–600
Rating 4.4 / 5 4.2 / 5
Primary differentiator UK management and contracting with engineers spread across four EU and EU-adjacent countries Deep Python specialism across web back ends, data engineering and machine learning
Pricing model Dedicated team, time and materials Time and materials, dedicated team
Min. engagement Not published Not published
Primary tech stack .NET, Azure, AWS Python, Django, FastAPI
Industries served Retail, Financial services, Media, Travel Fintech, Healthcare, Media, Retail

Godel Technologies vs STX Next: overview

Godel Technologies

Godel Technologies was formed in 2002 and is run from Manchester, with engineering in Poland, Lithuania, Bulgaria and Ukraine after it scaled back its original Belarus base. Its 2022 accounts showed turnover of £80.8m and headcount of 1,811. Since then the trend has reversed: Revelio Labs estimated a 2.2% year-on-year fall in headcount by September 2025, and Belarusian outlet dev.by reported rate cuts and cancelled salary reviews. The UK-led model is still a good fit for UK buyers, but its recent direction deserves questions during due diligence.

STX Next

STX Next was founded in Poznań in 2005 and built its name as one of Europe's largest Python-focused development companies. Its March 2025 anniversary release cited about 500 people and more than 1,000 projects delivered. A later combination with Gliwice's Brainhub added roughly 100 more engineers. Innova Capital has been an investor since 2020.

Services and capabilities: Godel Technologies vs STX Next

Capability Godel Technologies STX Next
Custom software development ✓ ✓
Mobile app development ✗ ✗
Cloud & DevOps ✓ ✓
Data & AI ✓ ✓
Legacy modernisation ✗ ✗
Embedded & IoT ✗ ✗
Dedicated team model ✓ ✓
Fixed-price projects ✗ ✗

Tech stack comparison: Godel Technologies vs STX Next

Framework / platform Godel Technologies STX Next
.NET ✓ N/A
Java ✓ N/A
Python N/A ✓
React ✓ ✓
AWS ✓ ✓
Azure ✓ N/A
Kubernetes ✓ N/A
Embedded N/A N/A

Pricing comparison: Godel Technologies vs STX Next

Criterion Godel Technologies STX Next
Minimum engagement Not published Not published
Engagement models Dedicated team, Time and materials Dedicated team, Team extension, Time and materials
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Godel Technologies vs STX Next

Dimension Godel Technologies STX Next
Best company size Mid-market to enterprise Startup to mid-market
Best industries Retail, Financial services, Media Fintech, Healthcare, Media
Best use cases A UK retailer wants a long-running .NET and Azure squad managed from the North West., A mid-market company needs a nearshore team without dealing with a foreign contracting entity. A fintech needs a Django back end rebuilt and scaled., A media company wants data ingestion jobs and recommendation models written in Python.
Typical project type Dedicated team Dedicated team

Godel Technologies vs STX Next: pros and cons

Godel Technologies
+ Contracts, account management and senior leadership sit in Manchester
+ Delivery centres across several countries reduce exposure to any single location
+ Long list of UK retail and consumer-brand clients
- Third-party data shows headcount slipping in 2025 after years of growth
- Reported cost-cutting, including rate cuts and frozen salary reviews, may affect staff retention on your team
- The move away from Belarus forced a large relocation of engineering capacity
- Recent statutory accounts with headcount detail were not available at the time of review
STX Next
+ Python depth is hard to match among mid-sized European vendors
+ Combined STX Next and Brainhub team adds JavaScript and product capacity
+ Polish location gives near-total working-day overlap with the UK
- No staffed UK office was found, so account management is run from Poland
- The Brainhub merger is recent, and integration may take time

Who should choose Godel Technologies?

A typical fit: a UK retailer wants a long-running .NET and Azure squad managed from the North West.

UK management and contracting with engineers spread across four EU and EU-adjacent countries. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Financial services, Media, Travel.

Who should choose STX Next?

A typical fit: a fintech needs a Django back end rebuilt and scaled.

Deep Python specialism across web back ends, data engineering and machine learning. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Media, Retail.

Decision matrix: Godel Technologies vs STX Next

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Both offer fixed-price models
You need a large dedicated team for an ongoing programme Godel Technologies
Your budget is at the lower end Compare: Godel Technologies (Not published) vs STX Next (Not published)
You need specialist depth in a specific vertical Godel Technologies
You want engineers added to your own in-house team STX Next
Your product includes hardware, firmware or connected devices Neither; consider an embedded specialist

Use case fit: Godel Technologies vs STX Next

Use case Godel Technologies fit STX Next fit Winner
A UK retailer wants a long-running .NET and Azure squad managed from the North West. Strong Limited Godel Technologies
A mid-market company needs a nearshore team without dealing with a foreign contracting entity. Strong Limited Godel Technologies
A fintech needs a Django back end rebuilt and scaled. Limited Strong STX Next
A media company wants data ingestion jobs and recommendation models written in Python. Limited Strong STX Next
You need hardware, firmware or IoT work in the same contract Limited Limited Both equally
You want a fixed-price first phase before a longer engagement Limited Limited Both equally

Verdict: Godel Technologies vs STX Next

Godel Technologies (4.4/5) is the stronger overall choice for most Software Development Outsourcing projects. UK management and contracting with engineers spread across four EU and EU-adjacent countries.

STX Next (4.2/5) is worth a look in a scenario like this: a media company wants data ingestion jobs and recommendation models written in Python. If your situation matches that, STX Next is a competitive option.

Related comparisons

Godel Technologies vs STX Next FAQ

Is Godel Technologies better than STX Next?

Godel Technologies (4.4/5) scores higher overall, but "better" depends on your use case. Godel Technologies's strongest advantage: Contracts, account management and senior leadership sit in Manchester. STX Next's strongest advantage: python depth is hard to match among mid-sized European vendors.

How do Godel Technologies and STX Next differ in pricing?

Godel Technologies uses dedicated team, time and materials pricing. STX Next uses time and materials, dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Godel Technologies or STX Next?

Godel Technologies 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 Godel Technologies and STX Next?

Godel Technologies's primary differentiator is: UK management and contracting with engineers spread across four EU and EU-adjacent countries. STX Next's primary differentiator is: deep Python specialism across web back ends, data engineering and machine learning. They also differ in team size (1,000–2,000 vs 500–600), minimum engagement (Not published vs Not published), and primary industries served (Retail, Financial services vs Fintech, Healthcare).

Verify all details directly with each company before making a decision.