What's changing, and why it matters.
Exploring developments across artificial intelligence and identifying the models, methods and tools worth understanding.
- AI Models
- AI Agents
- Research Papers
- Tools
- Open Source
- Emerging Technologies
Research / Stainaz
Explore first. Build what matters.
Stainaz Research explores technologies, methods and ideas that may contribute to existing ventures or become the foundation for new ones.
Current research / 03
Experimental work is separated from commercial ventures. The objective is to understand what is useful before deciding what should move forward.
Intelligence lives in relationships.
Exploring whether graph-based machine learning can reveal useful patterns across connected entities and systems.
- Graph Neural Networks
- Knowledge Graphs
- Network Modelling
- Relationship Intelligence
From data to better decisions.
Practical machine-learning research focused on finding useful patterns in complex data and turning them into better decisions.
- Prediction
- Forecasting
- Ranking
- Optimisation
- Decision Systems
- ZoneBoost
AI Research Agent
Signal over volume.
Experimental / In development
An internal research system being explored to collect, verify and organise meaningful developments across official announcements, papers, documentation, open-source repositories and reputable publications.
- 01Sources
- 02Collect
- 03Filter
- 04Verify
- 05Classify
- 06Summarise
- 07Publish
Publication architecture
A weekly brief, when the system is ready.
No issues have been published yet. The format is prepared without fabricating articles or pretending the research agent is operational.
- 01Biggest development
- 02Models worth knowing
- 03Agent watch
- 04Research worth reading
- 05Open source
- 06Tools worth trying
- 07What we're watching
Research → Product
Useful work earns its next stage.
Not every experiment needs to become a product. The ones that prove useful can move forward.
- 01Research
- 02Experiment
- 03Prototype
- 04Measure
- 05Product / Venture