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Data quality: Editorially Reviewed
Language (LLM / NLP)
Financial services
Agent & prompt engineering
Custom model development
Databricks
Data engineering & preparation
Energy & utilities
Document intelligence (extraction)
Insurance
Fraud detection
Workflow orchestration
Implementation & integration
Mid-market
Predictive / classical ML
Healthcare & life sciences
Manufacturing
Snowflake
Amazon Web Services
Predictive maintenance
Retrieval & semantic search
Azure
Agentic / autonomous
Enterprise
Fixed-price project
Enterprise search & retrieval
Time & materials

STX Next

Agent & prompt engineering

Offered by STX Next

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Overview

STX Next offers AI agents and agentic systems (four-week fixed-price MVPs on LangChain, LangGraph, AWS Bedrock or OpenAI), a self-hosted Agentic AI Workspace, enterprise RAG, OCR and document intelligence, predictive analytics and predictive maintenance. Engagements begin with fixed-price entry points and move to time-and-materials for full builds. Partners include AWS, Snowflake, Databricks and Microsoft. It has over 450 specialists, is ISO/IEC 27001 certified and has offices in Poznan, London, Eschborn, Houston and Merida.

Pricing model
On request
Regions served
Europe, North America, Latin America
Categories
Language (LLM / NLP), Financial services, Agent & prompt engineering, Custom model development, Databricks, Data engineering & preparation, Energy & utilities, Document intelligence (extraction), Insurance, Fraud detection, Workflow orchestration, Implementation & integration, Mid-market, Predictive / classical ML, Healthcare & life sciences, Manufacturing, Snowflake, Amazon Web Services, Predictive maintenance, Retrieval & semantic search, Azure, Agentic / autonomous, Enterprise, Fixed-price project, Enterprise search & retrieval, Time & materials
Last updated
7 October 2026
Published
7 October 2026

Use cases

Workflow orchestration
Document intelligence (extraction)
Predictive maintenance
Fraud detection
Enterprise search & retrieval

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
stxnext.com
Sources cited
1
Last reviewed
6 October 2026
Last updated
7 October 2026

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