Machine Learning Solutions

Extracting wisdom from high volumes of raw data.


The vast amounts of data generated by industrial machines and workflows is often underutilized, resulting in lost opportunities for efficiency and cost savings.

Data, Information, Knowledge, Wisdom Pyramid. DKIW We believe that data-driven automation is the key to unlocking the full potential of industrial enterprises. That's why we specialize in applying machine learning to help businesses like yours achieve operational excellence. We develop algorithms to draw inferences from a variety of industrial data sources including:

  • Plant Instrumentation
  • Cameras that can segment, find, and recognise objects (such as items on pallets or shelves, or in containers).
  • Sensors on mobile robots.
  • Sensors on production equipment.
  • Fleet tracking data from vehicles.
  • Automatic identification and data capture (AIDC) systems (such as RFID).
  • Software Systems and Databases
Unlock the full potential of your industrial data with our machine learning solutions. Traversal has strong research and development expertise, and a deep knowledge of state-of-the-art techniques to design, build, and deploy bespoke machine learning and artificial intelligence solutions.

Increase efficiency and flexibility, and reduce downtime with our machine learning solutions for industrial automation. We have an unrelenting focus on translating emerging research into commercial outcomes for our clients.

We transform ideas from conception to design to implementation, beginning with a needs analysis and an assessment of the value and constraints.

We take your ideas from concept to implementation, and we are committed to delivering high-quality solutions that help your business succeed.

Industrial Streaming Data Analytics Pipeline

Streaming Data Pipelines

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Want to achieve operational excellence with data-driven industrial automation? Learn more about our machine learning solutions services.

Capability List


  • Mobilising Research Capabilities for Your Industry
  • Machine Learning Research Capabilities
  • Manage External Innovation
  • Manage Internal Innovation
  • Manage R&D Process
  • Tailored ML Model Design


  • Data-driven Factory Automation
  • Data-driven Logistics Optimisation
  • Machine Learning for Asset Management
  • Video Analysis and Pattern Recognition
  • Audio Analysis
  • Natural Language Processing
  • Multimodal Sensor Interfacing
  • Dynamic Models
  • Signal Processing
  • Design and Deployment of Customised Deep Learning Solutions