Human-Centered Immersion

Optimized for real-world workflows

3000+

Users onboarded

98%

Completion rate

CLAIM 5

Strategic success

7%

Increased growth in Q2

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.

Tablet showing Bloomy UI

ROLE

Senior XR Designer

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.

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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.

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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.

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