Interfaces that adapt to people.
Exploring natural, accessible ways to interact with intelligent systems through movement, language, context, and thoughtful feedback.
Active explorationAzharLabs explores artificial intelligence and machine learning through human-centred research, careful experiments, and products that make technology more useful, understandable, and active.
These are active directions, not claims of completed scientific results. We publish what we learn as the work matures.
Exploring natural, accessible ways to interact with intelligent systems through movement, language, context, and thoughtful feedback.
Active explorationTesting practical ML systems with an emphasis on reliability, measurable value, resource awareness, and clear limitations.
Research programmeStudying how products can minimise data collection, communicate uncertainty, and keep meaningful choices in the hands of users.
Ongoing principleInvestigating how games and playful systems can encourage movement, curiosity, practice, and positive family experiences.
Applied through AzharLabs PlayOur game studio turns research into original motion, educational, and non-motion games designed to support a more curious and healthy society.
MotionPlay is the first game. More independent worlds will follow.
Start with a real human need and a claim that can be tested.
Prototype quickly, measure carefully, and document limitations.
Prefer privacy, accessibility, transparency, and long-term usefulness.