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STX Next

Poznań, Poland

250+€45-85/hrFounded 2005
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About

STX Next is a Poznań software company that has worked in Python since 2005 and now builds AI systems: retrieval-augmented applications, agents, computer vision, and predictive maintenance. It is an AWS Advanced Tier Services Partner.

Who They Work With

Python-heavy teams that need senior engineers now, with AI built into how the work is delivered and reviewed.

Based on 5 client engagements with a source URL · researched 8 Sept 2026

Our Take

The clearest AI evidence is a product rather than a service line: the Use Case Management Tool built with appliedAI in Munich, which inventories a company's AI use cases against EU AI Act obligations—useful in itself, and a sign the team has read the regulation.

The Cambium Group engagement is the most concrete thing published on the site: Claude Code configured with three convention files, eleven codified review rules, an eight-phase command with a human approval gate, an isolated worktree per ticket and around 38 pull requests so far.

Note what that engagement is, though. It is AI applied to how STX Next writes software, not a system shipped to Cambium's customers, and the client-facing machine learning—wind turbine blade performance—sits inside a wider cloud and infrastructure engagement with the client anonymized.

The weaker fit is a buyer who wants a measured production AI system: this is a Python house running since 2005 at 250+ people with an AWS Advanced Tier partnership, strongest as a team extension that now builds with AI rather than as a model-delivery specialist.

Key strengths

  • EU AI Act work is real and named: the use-case inventory and risk-assessment tool built with appliedAI for compliance and portfolio oversight
  • The Cambium engagement documents the delivery method in unusual detail—conventions, eleven codified rules, an eight-phase pipeline with an approval gate, one worktree per ticket
  • Twenty years of Python delivery at 250+ people, with an AWS Advanced Tier partnership and named clients across research instruments, pharmacy and fintech

Good to know

  • The strongest AI evidence is AI inside their own delivery, not a system shipped to a client's users—ask which production AI system they built and who operates it
  • The machine-learning work in the wind-energy engagement is one part of a cloud and infrastructure program, with the client anonymized—ask for the modeling detail
  • Rates here come from third-party listings rather than STX Next—confirm pricing, and whether you are buying a team extension or a fixed-scope build
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 8 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: appliedAI, The Cambium Group, LUMICKS, KNMP, and Vyze. All 5 carry a source URL on file.

appliedAIUse Case Management Tool inventorying enterprise AI use cases against EU AI Act obligations, with risk assessment, portfolio analytics and compliance reportingSource
The Cambium GroupAI-native delivery on the wedding gift-list platforms: Claude Code configured with convention files, eleven codified rules and an eight-phase workflow with an engineer approval gate, one worktree per ticketSource
LUMICKSPlatform letting researchers automate single-molecule experiments and share analysis scriptsSource
KNMPPlatform for managing medication shortages and forecasts, built in Python, Flask and AngularSource
VyzeFintech application giving retailers consumer financing across channelsSource

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