Best Software Development Outsourcing UK

Future Processing vs STX Next: full comparison for 2026

Quick verdict

Future Processing (4.6/5) edges ahead of STX Next (4.2/5) overall. Future Processing is the better choice for UK insurers and financial firms, long-term nearshore teams. 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.

Future Processing vs STX Next: head-to-head summary

Criterion Future Processing STX Next
Founded 2000 2005
HQ Gliwice, Poland (London office) Poznań, Poland
Team size 750–1,000 500–600
Rating 4.6 / 5 4.2 / 5
Primary differentiator Twenty-five years of delivery from Poland with UK-based account leadership in the City Deep Python specialism across web back ends, data engineering and machine learning
Pricing model Time and materials, dedicated team, fixed price Time and materials, dedicated team
Min. engagement Not published Not published
Primary tech stack .NET, Java, Azure Python, Django, FastAPI
Industries served Financial services, Insurance, Energy, Media, Healthcare Fintech, Healthcare, Media, Retail

Future Processing vs STX Next: overview

Future Processing

Future Processing started in Gliwice, Poland in 2000 and now employs roughly 800 people, with a London office at Gracechurch Street led by a UK managing director. Directory data puts around 45% of its work in financial services, with insurance, energy, media and healthcare making up much of the rest. It sells bespoke development, cloud and data work, and consulting. Delivery happens mainly in Poland, which keeps rates in the Central European band.

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: Future Processing vs STX Next

Capability Future Processing 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: Future Processing vs STX Next

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

Pricing comparison: Future Processing vs STX Next

Criterion Future Processing STX Next
Minimum engagement Not published Not published
Engagement models Dedicated team, Fixed project, 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: Future Processing vs STX Next

Dimension Future Processing STX Next
Best company size Mid-market to enterprise Startup to mid-market
Best industries Financial services, Insurance, Energy Fintech, Healthcare, Media
Best use cases An insurer wants a dedicated .NET and Azure team to modernise policy administration systems., A UK fintech needs a nearshore squad to extend an in-house engineering team. 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

Future Processing vs STX Next: pros and cons

Future Processing
+ A London office with a UK managing director means escalations land with someone in your time zone
+ Heavy financial-services and insurance exposure suggests familiarity with UK regulated-sector procurement
+ Around 800 staff is large enough to grow a team quickly without the overhead of a 10,000-person vendor
+ Polish delivery is one hour ahead of the UK, so working days overlap almost completely
- No hardware or embedded engineering capability, so connected-device products need a second supplier
- Polish engineering rates have risen steadily and are now closer to Western European levels than they were a decade ago
- Public pricing and minimum project sizes are not published
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 Future Processing?

A typical fit: an insurer wants a dedicated .NET and Azure team to modernise policy administration systems.

Twenty-five years of delivery from Poland with UK-based account leadership in the City. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Energy, Media, Healthcare.

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: Future Processing vs STX Next

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Future Processing
You need a large dedicated team for an ongoing programme Future Processing
Your budget is at the lower end Compare: Future Processing (Not published) vs STX Next (Not published)
You need specialist depth in a specific vertical Future Processing
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: Future Processing vs STX Next

Use case Future Processing fit STX Next fit Winner
An insurer wants a dedicated .NET and Azure team to modernise policy administration systems. Strong Limited Future Processing
A UK fintech needs a nearshore squad to extend an in-house engineering team. Strong Limited Future Processing
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 Strong Limited Future Processing

Verdict: Future Processing vs STX Next

Future Processing (4.6/5) is the stronger overall choice for most Software Development Outsourcing projects. Twenty-five years of delivery from Poland with UK-based account leadership in the City.

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

Future Processing vs STX Next FAQ

Is Future Processing better than STX Next?

Future Processing (4.6/5) scores higher overall, but "better" depends on your use case. Future Processing's strongest advantage: a London office with a UK managing director means escalations land with someone in your time zone. STX Next's strongest advantage: python depth is hard to match among mid-sized European vendors.

How do Future Processing and STX Next differ in pricing?

Future Processing uses time and materials, dedicated team, fixed price 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: Future Processing or STX Next?

Future Processing 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 Future Processing and STX Next?

Future Processing's primary differentiator is: twenty-five years of delivery from Poland with UK-based account leadership in the City. STX Next's primary differentiator is: deep Python specialism across web back ends, data engineering and machine learning. They also differ in team size (750–1,000 vs 500–600), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Insurance vs Fintech, Healthcare).

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