TrustGPT

Inspiration

We kept seeing the same problem: companies want to use AI, but they don’t trust where their data goes. “Private cloud” still isn’t truly private. That gap is what led to TrustGPT.

What it does

TrustGPT lets you run AI on sensitive data without exposing it. Everything runs inside secure hardware enclaves, and even the cloud provider can’t see your data.

How we built it

We used confidential VMs with hardware encryption, added a Python orchestrator to automate everything, and deployed LLMs inside secure environments with end-to-end encryption.

Challenges

Debugging in secure enclaves was tough, startup times were slow, and making something this secure still feel simple took a lot of effort.

What we’re proud of

We built a working system where you can spin up a secure AI environment in one click—and your data stays private the entire time.

What we learned

Privacy is an infrastructure problem, not just a feature. And if it’s not easy to use, no one will adopt it.

What’s next

We’re expanding to more clouds, improving speed, and building tools so developers can easily create private AI apps.

Built With

• nestjs
• nextjs