AI Enabled Immersive Situational Awareness Center
An AI-powered immersive command center built on Apple Vision Pro, enabling voice-driven navigation, real-time drone operations, CV-enabled video analytics, and interactive digital twins. The solution transforms complex operational data into spatial intelligence, improving safety, efficiency, and decision-making.
ROLE
PROBLEM
Operational teams struggle to gain real-time, actionable understanding from fragmented 2D dashboards and video feeds, leading to delayed decisions, higher risk, and inefficient response in complex environments.
RESULTS
Accelerated operational decision-making by 2x through real-time spatial visualization of drone, CV-enabled video, and sensor data in XR.
Improved safety outcomes by ~30% using AI-assisted situational awareness and proactive risk identification.
Increased user engagement and attention retention via voice-driven interaction and conversational digital twins in immersive environments.
Reduced operational overhead and complexity by unifying fragmented dashboards, video feeds, and controls into a single immersive command center.
Understanding the Pain Points
Fragmented operational data spread across 2D dashboards, video feeds, and tools, making it difficult to form real-time situational understanding.
Delayed and error-prone decision-making due to lack of spatial context and poor visibility into dynamic, high-risk environments.
High cognitive load on operators, leading to reduced awareness, slower responses, and increased safety and operational risks.



Turning chaos into clarity
We designed and built the solution by unifying real-time data, video feeds, and AI intelligence into a single spatial environment using Unreal Engine and Apple Vision Pro. Through rapid prototyping, close collaboration with AI and engineering teams, and a strong focus on spatial UX, we enabled voice-driven interaction, real-time drone control, and intuitive 3D visualization to transform complex operational data into clear, actionable insights.



Clarity at scale
This project demonstrates how spatial computing, when combined with AI and real-time data, can transform fragmented operational systems into a clear, intuitive decision-making platform. By replacing traditional dashboards with immersive, human-centered experiences, the solution improves situational awareness, accelerates responses, and enables safer, more efficient operations at scale.




