STX Next
STX Next is based in Poznań, Poland and works in Agentic Workflow Development for Chemical Manufacturing, with further work in Predictive Analytics and MLOps & Infrastructure.
- Average rating
- 4.7
- Reviews
- 109
- Profile coverage
- 100%
- Evidence percentile
- P92
Profile updated · Request a correction
Company & commercials
- Primary category
- LLM Agents & RAG
- Team size
- 250-999 employees
- Typical budget
- $50K - $150K
- Primary industry
- Manufacturing & Industrial
What STX Next does best.
LLM Agents & RAG provider for Manufacturing & Industrial
STX Next is an AI-first technology partner delivering Python-driven AI, data, and cloud solutions, specializing in LLM agents, RAG implementation, and enterprise software modernization. Its own website shows its strongest capability in Agentic Workflow Development within LLM Agents & RAG, alongside Vector Databases and Semantic Search. The industry it describes most is Chemical Manufacturing.
3 platforms & methods
Bars show how many mapped capabilities use each one.
- LLMs1 capability
- RAG1 capability
- PythonProfile only
Evidence report
How STX Next compares with peers on evidence, reviews and coverage.
What the evidence says
STX Next presents as a strong evidence profile for LLM Agents & RAG. It ranks in the 92nd percentile of 1,860 published providers in LLM Agents & RAG, and 109 reviews back the commercial profile.
Current positioning: P92 evidence quality · P99 industry breadthAI capabilities.
AI Ethics & Governance
None of the listed technologies is specific to AI Ethics & Governance.
Mapping source · https://www.stxnext.com/services/artificial-intelligence — “ents, and workflow automation. Architecture compatible with GDPR, the EU AI Act, and DORA, where those apply to you. A functional workspace built on”
Featured 12 of 61 capabilities, ranked by mapping grade then confidence.
Industries served.
- Chemical ManufacturingDirect · Primary95%
https://www.stxnext.com/ — “ing Reducing unplanned downtime by 20% with Predictive Maintenance in chemical industry 14,000+ staff hours saved every year for Mattioli Woods Manual work r”
- 90%
https://www.stxnext.com/services/amazon-bedrock-consulting-development-services — “UDY Chemical Industry Reducing unplanned downtime by 20% for a global plastics processing enterprise An international plastics and refining company”
- General ManufacturingDirect80%
https://www.stxnext.com/ — “Empower your internal teams & build PortCo value with AI & Automation Manufacturing Modernize production systems and unlock operational excellence Privat”
- 60%
https://www.stxnext.com/ — “Empower your internal teams & build PortCo value with AI & Automation Manufacturing Modernize production systems and unlock operational excellence Privat”
What clients say.
Compiled from independent review platforms and client reviews verified by RankGlobal. How we count reviews
STX Next have been working really well with my engineering team.
Worked with STX Next? Review them → Every reviewer is verified by RankGlobal.
Sources behind this profile.
The RankGlobal Research Team opened each page and checked that it names STX Next. Pages on STX Next's own website are provider-supplied.
Case studies
- Knowledge retrieval with large language models for LindeOn STX Next's website·checked 23 Oct 2026
- Agentic AI and workflow automation training for Permira's investment teamOn STX Next's website·checked 23 Oct 2026
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Move from discovery to a focused conversation.
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- Primary category
- LLM Agents & RAG
- Primary industry
- Manufacturing & Industrial
- Typical budget
- $50K - $150K
- Team size
- 250-999 employees
- 1Name the use caseSay which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandThe $50K - $150K band on file is a profile-level figure. Ask what a scope like yours actually lands at.
- 3Ask for a referenceRequest a client reference in Manufacturing & Industrial — the strongest industry signal on this profile.
Enquire about STX Next
Three fields. Anything longer belongs on the full contact page, linked below.Is this your company? Claim this profile →
Where STX Next ranks
- #2Best AI Governance Advisors in the EUEuropean Union
- #4Top Document AI Providers in EuropeEurope
Badges for STX Next's website (2)
A firm in the top 10 of a ranking can show it on its own site. Badges are earned, never sold, and always show the current place. How badges work.
Embed your Evidence Matrix position (11)
STX Next is among the most-reviewed firms on these Evidence Matrices. Each image highlights its place and updates with the data.
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