diff --git a/src/projects/enclave/index.yaml b/src/projects/enclave/index.yaml
index 15b98ba67..2e64bd6b9 100644
--- a/src/projects/enclave/index.yaml
+++ b/src/projects/enclave/index.yaml
@@ -11,63 +11,13 @@ usecases:
 ecosystem:
   - ethereum
   - other
-description: >-
-  Enclave is an open-source protocol for Encrypted Execution Environments (E3)
-  that enables secure, verifiable computations on encrypted data using FHE,
-  ZKPs, and DTC (distributed threshold cryptography).
-
-  <br >
-
-  <br>
-
-  Special Features:
-
-  <br>
-
-  * Full Data Privacy: Encrypted data is never exposed at any point.
-
-  <br>
-
-  * Multiple Encrypted Inputs: Securely compute over data from multiple
-  encrypted sources.
-
-  <br>
-
-  * Decoupled Execution and Security: Nodes responsible for key management are
-  separate from those handling execution, lowering hardware requirements.
-
-  <br>
-
-  * Single-Use Keys: Keyshares are generated per computation request and are
-  never reused, eliminating the need for key rotation even when nodes fail or
-  misbehave.
-
-  <br>
-
-  * Built-In Economic Incentives: MPC parties are bonded and subject to
-  penalties or slashing for misbehavior, ensuring the system’s security without
-  compromising overall operation.
-
-  <br>
-
-  * Developer Accessibility: Programs can be written in Rust, making the system
-  accessible to a broad developer base.
-
-  <br>
-
-  * Encryption Scheme Agnostic: Enclave's modular design allows it to support
-  various threshold FHE encryption schemes.
-
-  <br>
-
-  <br>
-
-  Enclave is applicable in industries like healthcare, finance, governance, and
-  collaborative efforts that require secure data processing with strong privacy
-  and compliance. It enables use cases such as secret voting, sealed-bid
-  auctions, and privacy-preserving collaborative analysis that are difficult or
-  impossible with traditional solutions.
-product_launch_day: 2024-06-04T04:00:00.000Z
+description: Enclave is an open-source protocol for Encrypted Execution
+  Environments (E3) that enables secure, privacy-preserving, and verifiable
+  computations on encrypted data using FHE, ZKPs, and DTC (distributed threshold
+  cryptography). Use cases include secret voting, sealed-bid auctions, and
+  privacy-preserving collaborative analysis that are difficult or impossible
+  with traditional solutions.
+product_launch_day: 2024-06-01T05:00:00.000Z
 sunset: false
 assets_used:
   - eth