STASX

    Make better decisions with your data

    Analytics, machine learning and AI that turn your data into clear answers you can act on.

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    Get more from your data

    Our Data Analytics & AI team helps organisations make better use of their data. We build reliable data pipelines and machine learning models that run in real systems and deliver results you can measure.

    We bring together data engineering, statistics, AI and industry knowledge to build systems that automate routine decisions, predict trends and show you opportunities you might miss.

    Our services

    Solutions shaped around what you need.

    • Data Engineering & Pipelines

      Build data systems that collect, clean and deliver your data reliably.

      • ETL/ELT pipeline development
      • Data lake architecture
      • Real-time streaming
      • Data quality frameworks

    • Business Intelligence

      Turn raw data into dashboards and reports people can use.

      • Dashboard development
      • Self-service analytics
      • KPI monitoring
      • Executive reporting

    • Machine Learning Models

      Build and run machine learning models that solve real business problems.

      • Predictive modeling
      • Recommendation systems
      • Anomaly detection
      • MLOps & model lifecycle

    • Natural Language Processing

      Find insights in text and build chat tools that understand people.

      • Sentiment analysis
      • Document classification
      • Chatbots & virtual assistants
      • LLM integration

    • Computer Vision

      AI that can read and understand images and video.

      • Object detection
      • Image classification
      • OCR & document processing
      • Video analytics

    • AI Strategy & Governance

      Plan how to adopt AI, and set clear rules so it is used responsibly.

      • AI readiness assessment
      • Use case identification
      • Ethics & governance
      • Change management

    The toolkit behind the work

    Proven platforms and frameworks, chosen for the job rather than the hype.

    • Apache Spark
    • Airflow
    • dbt
    • Kafka
    • Flink

    Our process

    A clear line from idea to impact.

    1. 01

      Discovery & Assessment

      Review how you use data today, choose the most valuable uses and agree how success is measured.

    2. 02

      Data Foundation

      Build or improve your data systems, pipelines and data rules.

    3. 03

      Model Development

      Build, test and improve machine learning models using good practice.

    4. 04

      Production Deployment

      Release models with monitoring, version control and automatic retraining.

    5. 05

      Grow & Improve

      Extend to new uses and keep improving how the models perform.

    Key benefits

    1. 01

      Data-Driven Decisions

      Make decisions backed by live data and forecasts.

    2. 02

      Operational Efficiency

      Use AI to automate repetitive tasks and improve processes.

    3. 03

      Revenue Growth

      Spot new opportunities and set better prices with machine learning.

    4. 04

      Risk Mitigation

      Detect fraud, predict failures and manage risk early.

    5. 05

      Customer Intelligence

      Understand your customers and personalise their experience.

    6. 06

      Stay Ahead

      Use AI and data to stay one step ahead.

    Explore other practices

    Four practices, one engineering team.

    All tech practices

    Ready to put your data to work?

    Talk to us about turning your data into a real advantage.

    Start a conversationinfo@stasx.com.au

    (+61) 406 267 743