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Research

Stainaz explores technologies, methods and ideas that may contribute to existing ventures or become the foundation for new ones.

Areas of research

Experimental work is separated from commercial ventures. The objective is to understand what is useful before deciding what should move forward.

AI Research

Tracking meaningful developments across AI models, agents, research and tools.

Graph Intelligence

Exploring graph neural networks, knowledge graphs and network modelling.

Applied Machine Learning

Prediction, forecasting, optimisation and experimental projects including ZoneBoost.

See it applied in Stainaz Data & AI: quality checks, a train-only baseline and held-out evaluation, run on synthetic data in your browser.Open Stainaz Data & AI

AI Research Agent

Experimental · In development

An internal system being explored to collect, verify and organise meaningful developments across official announcements, papers, documentation, open-source repositories and reputable publications.

  1. Sources
  2. Collect
  3. Filter
  4. Verify
  5. Classify
  6. Summarise
  7. Publish

Research to product

Not every experiment needs to become a product. The ones that prove useful can move forward.

  1. Research
  2. Experiment
  3. Prototype
  4. Measure
  5. Product