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Meet the Team

The founders building hardware and software for private AI on your devices, with connections you control.

Designed & Manufactured in the USA

Craig Ross

Craig Ross

CEO & Co-Founder

Craig co-founded THOX.ai to make private, local AI computing accessible to everyone. He leads business strategy, fundraising, investor relations, go-to-market execution, and commercial partnerships across the company.

Business strategy & corporate development
Kickstarter campaign & Series A preparation
OEM/ODM partnership negotiations
Sales channel development: developer, SMB & enterprise

Craig drives THOX.ai's go-to-market execution from pricing and reward tier strategy to press outreach, influencer engagement, and community building. He oversees operational leadership across manufacturing timelines, fulfillment, and logistics. Working alongside CTO Tommy Xaypanya, he is bringing the THOX AI 1.0 edge AI platform from engineering validation through mass production and market launch.

Tommy Xaypanya

Tommy Xaypanya

CTO & Co-Founder

Tommy is building the privacy-first edge AI platform at THOX.ai. He leads technical development across THOX device hardware, ThoxOS, MeshStack private networking, and THOX.ai's vast patent-pending portfolio.

Hardware architecture & firmware (Rust)
ThoxOS: real-time inference, OTA updates, cluster management
MeshStack: private connections between authorized devices and resources
IP strategy: THOX.ai's patent-pending portfolio

Tommy's technical scope spans the full AI model pipeline including hardware-accelerated inference, Ollama, and on-device compression, as well as OEM/ODM manufacturing engagement with manufacturing partners. He leads development of ThoxSDK (Rust + Zig), the ThoxModels registry, and ThoxQu quantum co-processor R&D, developing hardware and software for supported local AI workflows and connections users control.

Our Mission

We build hardware and software that put private AI in your hands. Run supported AI tasks on your THOX device or compatible computer. We strive to reduce or eliminate the need for paid online AI subscriptions by making private, local AI more capable and accessible.

Privacy First

Keep supported tasks local and choose what you share.

Edge Computing

Run supported AI on your device or a compatible computer.

Connected When You Choose

MeshStack is optional. Connect compatible devices and share resources you choose.

Join Us on This Journey

We are building the future of private AI. Whether you want to back us, join our team, or partner with us, we would love to hear from you.