Challenge track Select a track Track 1, Kernel and HAL Hardening Track 2, Sovereign Agent Workcells Track 3, Frontier Data Synthesis
Development environment Select your environment x86_64 (laptop or desktop) aarch64 (ARM board) Raspberry Pi Mac Other
What will you build?
What hardware or edge devices do you run today?
Program pathway Select a pathway The Innovator (ventures) The Trainer (systems) Not sure yet
Tier of interest Sovereign Scout, $0 Sovereign Practitioner, $49/mo or $490/yr Studio Edition, $1,999 Enterprise Edition, $5,499 Sovereign Frontier, $8,999 Institutional license
Domain / sector
Technical baseline Select your level Non-technical / domain expert Some scripting / comfortable with tools Engineer / systems background
What are you trying to build or become?
Who can you interview? Name 5 target organizations or the channel to reach 30 or more stakeholders.
A few questions about how you work
We are validating what to build through the NSF I-Corps program. These are optional and part of research, not a pitch. We only ask about things you have actually done.
Do you have an existing venture or project? Prefer not to say Yes, I have one Not yet, but I am starting one No
When you choose AI infrastructure, what matters most? Select one Cost Control over my data Convenience
What are you building, and who is it for?
What is the most expensive problem you are trying to solve?
Tell us about the last time that problem actually happened.
How do you handle it today, and what has it cost you in the last 12 months?
Have you tried to run an AI model on your own hardware? What happened?
What have you had to keep off cloud AI services, and why?
What do you use for local inference today, and what does it cost you?
Who else has to approve, or can veto, a new on-prem system?
Any constraints we should know about (air-gap, compliance, data residency)?