Test a model on data you never see.

Test an AI model on data you can’t access, and share data without giving it away. Only the score comes out.

Enclave · data stays inside

Score

Built with

You’re building an AI model. You don’t have the data.
To prove it works, you need real records. Patients, transactions, customers.
Someone has it. They can’t share it.
A hospital’s records are protected by law. Sending them to you isn’t an option.
Now you can test on it anyway.
Your model runs on their data inside a hardware enclave (a TEE): a sealed part of the chip that no one can look into. You get the score. Neither side sees the other’s file.

You’re building an AI model. You don’t have the data.

To prove it works, you need real records. Patients, transactions, customers.

Your model

You

Patient data

A hospital

Enclave · TEE

No data to test on

Waiting

Where it’s useful.

Has the data

A hospital

Patient records

Has the model

A diagnostics startup

Diabetes-risk model

“Does the model spot diabetes risk in our patients?”

AUC · example

SecureLambda supports x402, the HTTP payment standard for AI agents. Your agent asks for a run, gets a price, pays in NEAR and reads the score.

Your files are encrypted in your own browser before upload and are only opened inside the hardware enclave. The enclave’s key is set up once by us and our copy deleted, so you’re trusting that step. The next version has the enclave create its own key, so nobody ever holds it.