AI Agents for AR & VR
The primary constraint on enterprise XR adoption isn't hardware - it's content creation cost. AI-driven procedural generation and intelligent in-environment assistants make XR experiences economically viable across a much broader range of applications.
AR / VR AI Agents
Why AI Matters in AR / VR
- Building high-quality training simulations or interactive product visualisations manually requires significant 3D art, development, and interaction design investment that makes XR uneconomical for most enterprise use cases.
- If every product variant, training scenario, and user journey requires custom content build, the content production cost rarely works outside the largest-budget deployments.
- Static scripted experiences that every participant runs identically cannot adapt to trainee performance or respond to unscripted inputs - limiting effectiveness compared to human-led training for complex skill development.
- AI-driven procedural generation that creates environments, scenarios, and content variants dynamically is the unlock that makes XR economically viable across a much wider range of applications.
Top Use Cases
AI-Driven NPC and Virtual Assistant Behaviour
Power characters and virtual assistants within XR environments with natural language understanding and adaptive behaviour - responding to unscripted user inputs and maintaining contextual awareness across interactions.
Procedural Environment and Scenario Generation
Generate training scenarios, product environments, and interactive spaces dynamically rather than building each one manually - dramatically reducing the content production cost of XR experiences.
Adaptive XR Training with Real-Time Feedback
Adjust scenario difficulty, pacing, and hint frequency based on trainee performance in real time - providing a personalised learning experience rather than a fixed simulation that every participant runs identically.
Spatial Object Recognition and Contextual Overlay
Analyse physical environments through device cameras, identify objects and surfaces, and anchor relevant digital information contextually to them - enabling maintenance guidance, product information, and wayfinding that responds to what is actually in front of the user.