add early access links

docs/cloud/index.md

@@ -43,14 +43,12 @@ The main advantages of using lakeFS Cloud, the lakeFS managed service are:
 
 Using lakeFS cloud is not just a secure and managed way of using lakeFS OSS; it is much more than that. With lakeFS Cloud you enjoy:
 1. [lakeFS Mount]({% link reference/mount.md %}) allows users to virtually mount a remote lakeFS repository onto a local directory. Once mounted, users can access the data as if it resides on their local filesystem, using any tool, library, or framework that reads from a local filesystem.
-1. lakeFS Metadata Search - Allows a granular search API to filter and query versioned objects based on attached metadata. This is especially useful for machine learning environments to filter by labels and file attributes
+1. [lakeFS Metadata Search](https://info.lakefs.io/metadata-search) - Allows a granular search API to filter and query versioned objects based on attached metadata. This is especially useful for machine learning environments to filter by labels and file attributes
 1. [lakeFS for Databricks](https://lakefs.io/lakefs-for-databricks) - Provides a turnkey solution for Databricks customers for analytics, machine learning and business intelligence use cases including full support for Delta Lake tables, Unity Catalog, MLFlow and the rest of the Databricks product suite.
-1. lakeFS for Snowflake - Provides full integration into the Snowflake ecosystem, including full support for Iceberg managed tables.
-1. lakeFS Cross cloud - Allows central management of repositories that span across multiple cloud providers including Azure, AWS, GCP and on-prem environments.
+1. [lakeFS for Snowflake](https://info.lakefs.io/lakefs-for-snowflake) - Provides full integration into the Snowflake ecosystem, including full support for Iceberg managed tables.
+1. [lakeFS Cross Cloud](https://info.lakefs.io/cross-cloud) - Allows central management of repositories that span across multiple cloud providers including Azure, AWS, GCP and on-prem environments.
 1. [Transactional Mirroring]({% link howto/mirroring.md %}) - allows replicating lakeFS repositories into consistent read-only copies in remote locations.
 
-[Get in touch](https://lakefs.io/book-a-demo/) to learn more about these functionalities.
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 ## How lakeFS Cloud interacts with your infrastructure
 
 Treeverse hosts and manages a dedicated lakeFS instance that interfaces with data held in your object store, such as S3.