Revolutionizing Spatial Experiences

We build immersive experiences and pre-visualization tools leveraging spatial computing and generative AI.

Extended Reality

Turn any space into your canvas.

See it, shape it, share it.

What we do.

Spatial Application
Development

We create award-winning original content, software, and apps tailored for Apple Vision Pro and XR devices, delivering cutting-edge experiences that redefine immersive technology.

R&D and Innovation

We solve strategic challenges in spatial computing and generative AI with speed and precision. Over a decade of experience has sharpened our ability to integrate emerging technologies quickly.

Training and Consulting

As educators, we guide you in understanding the XR and immersive technology landscape, equipping you to anticipate industry disruptions and stay ahead of the curve.

Meet the Team

We are solving complex design and engineering challenges with the top innovators in spatial computing and creative storytelling.

Vik Parth

Vik Parth is an engineer and physicist who has spent 12+ years developing new augmented reality devices at MIT, Magic Leap and new transportation systems with SpaceX-Hyperloop. He believes that the future of building 3D will all be done in augmented reality. He completed his graduate work at the MIT Media Lab where he developed new human-computer interfaces and holographic displays. In his spare time, he continues to teach at MIT and The University of Texas at Austin.

Ashley Jieun Lee

Ashley Lee is a machine learning engineer from MIT CSAIL who has developed core research tools around high-quality 3D point clouds, a flexible and scalable geometric representation, based on 2D images. She previously worked at Microsoft developing new developer tools for Android AOSP. Her research focus has been divided into two steps: generating point clouds for small shapes based on previous work on PointNet, and using the 3D point cloud for virtual or mixed reality-modeling. With such technology, it is possible to generate massive training data for rare edge cases that can be used for designing perception systems.

Pablo Vela

Pablo Vela is a computer vision engineer with over 10+ years of experience in human pose estimation, and room reconstruction, and Gaussian Splats. He focuses on cutting-edge problems in the fields of computer vision, robotics, and deep learning. Most recently he has built 3d room surface reconstruction pipelines using a combination of traditional MVS/SFM methods, neural network depth estimation, and neural implicit representations.

Jason Wong

Jason Wong is a full-stack engineer with over a decade of experience crafting scalable and user-centric applications, primarily in early-stage startups. With expertise spanning client-side, backend development, and performance optimization, Jason has a knack for quickly adapting to new markets and delivering innovative solutions. He has previously worked with organizations like Spatial, Datadog, and CoinFund. Jason earned his Bachelor’s degree in Math and Computer Science from the University of Waterloo.

Kris Layng

Kris Layng is a spatial experience designer and creative director, fueled by a passion for building immersive worlds. He has spent 12+ years across content development, filmmaking, 3D real-time visualization, and set design. He holds an MFA from the prestigious NYU Tisch School of Arts and led award-winning pieces for Tribeca Film Festival, CANNES, and Netflix. He previously worked on Netflix's Maniac with director Cary Fukunaga and Black Rabbit with Jason Bateman and Jude Law.

Ken Perlin, Advisor

Dr. Ken Perlin is an Academy-award winning computer graphics pioneer and Professor at New York University. His well known works include the development of Perlin Noise and computer-generated textures for the Walt Disney Motion Picture TRON. He directs the NYU Games For Learning Institute, and is a participating faculty member in the NYU Media and Games Network (MAGNET). He was also founding director of the Media Research Laboratory and director of the NYU Center for Advanced Technology.