Building the Future of
Spatial Intelligence

We're on a mission to make 3D AI as accessible as 2D image generation.

Our Mission

After 13 years in AI research, we've watched AI master text (ChatGPT), images (Midjourney), and video (Sora) — but not 3D.

Apple's Vision Pro and Meta Quest made it clear: spatial computing will be next.

We're building the foundational software and APIs for spatial intelligence — enabling developers to reconstruct, edit, and generate navigable 3D worlds as easily as they work with 2D images today.

Why Now?

1. Market Validation

Apple and Meta have validated spatial computing as a market with Vision Pro and Quest 3. The hardware is here — now we need the software infrastructure.

2. Technology Breakthrough

Gaussian Splatting (2023) made real-time 3D reconstruction feasible. Neural rendering and diffusion models can now extend to spatial generation.

3. AI Maturity

Generative AI technology is mature enough to extend beyond 2D. Transformers, diffusion models, and neural rendering converge for 3D.

Our Team

Deep expertise in AI research, computer vision, and spatial intelligence

Jiawei Zhang

Founder & CEO

Associate Professor at UC Davis, 13 years in AI research with 200+ papers in computer vision and multimodal AI. Founded the IFM Lab focused on multimodal intelligence. Leading product strategy, fundraising, and business operations.

Founding Technical Team

PhD Researchers from UC Davis

Our founding engineers are PhD candidates specializing in spatial AI, 3D reconstruction, gaussian splatting, and generative modeling. Deep domain expertise in computer vision and neural rendering.

Research & Expertise

13 Years
AI Research Experience
200+
Research Publications
$3M+
NSF Research Grants
50M+
Training Samples

Our proprietary VGGT (Visual Geometry Grounded Transformer) architecture represents breakthrough research in multimodal spatial understanding, trained on 50M+ spatial samples.

Backed By

NSF

$3M+ in research grants from the National Science Foundation supporting foundational research in spatial AI.

NSF ACCESS

GPU compute credits for model training on A100 and H100 clusters via NSF ACCESS allocation.

UC Davis

Academic research collaboration with UC Davis Computer Science department and IFM Lab.

Currently raising a $5M seed round (target close Q1 2026). Early conversations with Tier-1 VCs and strategic angels from Meta/Apple.

Company Timeline

Q4 2024

Company Founded

Exabyte Spatial AI founded with core team from UC Davis. Initial prototypes for text/image-to-3D generation.

Q1 2026

API Alpha Launch

Spatial AI API alpha with 100 beta developers. Core reconstruction and generation endpoints available.

Q2 2026

Public Beta

Public API beta with commercial pricing. Exabyte Studio software alpha release for early customers.

Q4 2026

Studio Beta Release

Exabyte Studio public beta. Complete platform with APIs, SDKs, and professional tools.

Get In Touch

Enterprise Sales

Interested in custom deployments, white-label solutions, or volume licensing?

Partnerships

Looking to partner with us? We're interested in hardware, platform, and strategic partnerships.

Press & Media

Journalists and media inquiries. Press kit and company assets available upon request.

Location

Currently based in Davis, California (UC Davis).
Moving to San Francisco Bay Area after fundraise for proximity to tech ecosystem, investors, and customers.

Company News

January 2026

Spatial AI API Alpha Launch

We're excited to announce the alpha launch of our Spatial AI API. 100 beta developers will get early access to reconstruction and generation endpoints.

November 2024

Company Founded

Exabyte Spatial AI officially founded by Professor Jiawei Zhang and founding team from UC Davis. Building the foundational platform for spatial intelligence.

Join Us on This Journey

We're hiring exceptional engineers, researchers, and designers to build the future of spatial intelligence