Introducing: Confidential Data Pools 🌊

Compute together, without giving up custody. 
Private inputs in. Verifiable results out.

No intermediaries. No data sharing. No exposure. 🔽

Most privacy tech protects against others.

Enclave is built to compute with others.

Confidential Data Pools let multiple parties contribute encrypted data to a shared computation, without revealing it to anyone, not even each other.

A protocol for Encrypted Execution Environments

Most privacy tech protects against others.

Enclave is built to compute with others.

Confidential Data Pools let multiple parties contribute encrypted data to a shared computation, without revealing it to anyone, not even each other. https://blog.enclave.gg/confidential-data-pools-with-enclave/

CDPs are a design pattern not just for secure computation, but also for multi-agent collaboration:

🔐 Inputs stay encrypted
🙅 No 3rd-party custody or access delegation
✅ Outputs are shared and verifiable

Trust is cryptographic, not institutional.

How it works:

Encrypted in → Confidentially Computed → Verified out

🔹 Private inputs with FHE 
🔹 Verifiable execution using ZKPs
🔹 No custody through DTC-managed ephemeral keys

Built for:

📉 Risk modeling between institutions

🧬 Research across hospitals (no patient data exposure)

🧠 AI inference on encrypted data

🌍 Climate models with sensitive industry data

For developers and orgs:

You define the computation. Enclave handles encrypted coordination across parties.

No trust assumptions. No third-party custody required.

A new model for multi-agent encrypted compute.