Team
One founder. A whole AI stack.
TARX was built by a solo founder to prove a simple point: one person with the right AI layer should be able to move with the force of a team.
This should not have been possible.
Local AI. Desktop. Web. iOS. On-device intelligence. Private memory. Agents. Vault. Tools. Enterprise integration paths. Supercomputer routing. A mesh network of computers. Sharded models. Free private AI on your computer.
TARX was not assembled by a committee. It was built because the leverage finally existed to build it.
The product is the proof.
If TARX can help one founder build the AI layer, it can help one person operate with more memory, more context, more tools, and more compute than they could ever hold alone.
That is the point.
Built from inside the problem.
The founder has led AI work across major financial, insurance, and legal information environments, including Charles Schwab, State Farm, and LexisNexis, with collaboration history touching research and infrastructure organizations including PARC and NVIDIA.
Solo does not mean small.
TARX is built to turn one operator into a system: memory, tools, agents, local compute, Supercomputer power, Vault boundaries, integrations, and deployment control.
The team is forming around the system.
TARX starts with one founder, but it is not meant to stay small. The next team is not here to make slides. The next team is here to scale private AI, Supercomputer access, enterprise deployments, hardware, and the compute network.
- Runtime engineering
- Local AI / on-device models
- iOS / desktop engineering
- Supercomputer / distributed systems
- Security / Vault / compliance
- Enterprise integrations
- Public sector / operational AI
- Developer relations
- Growth / community
