Update README

Author: NoyaOffer

README.md

@@ -48,9 +48,9 @@ The **Elementary dbt package** helps you find anomalies in your data and build m
 To generate observability reports, send alerts, and govern your data quality effectively, connect your dbt package to one of the following options:
 
 - **Elementary OSS**
-- **A self-hosted, open-source CLI** that integrates seamlessly with your dbt project and the Elementary dbt package. It **enables alerting and provides the basic Elementary data observability report**, offering a comprehensive view of your dbt runs, all dbt test results, data lineage, and test coverage. It’s ideal for small teams of data and/or analytics engineers seeking a straightforward, non-collaborative setup for data observability. Quickstart [here](https://docs.elementary-data.com/oss/quickstart/quickstart-cli), and our team and community can provide great support on [Slack](https://www.elementary-data.com/community) if needed.
+- **A self-hosted, open-source CLI** that integrates seamlessly with your dbt project and the Elementary dbt package. It **enables alerting and provides the basic Elementary data observability report**, offering a comprehensive view of your dbt runs, all dbt test results, data lineage, and test coverage. It’s ideal for small teams of data and/or analytics engineers seeking a straightforward, non-collaborative setup for data observability. Quickstart [here](https://docs.elementary-data.com/oss/quickstart/quickstart-cli), and our team and community can provide great support on [Slack](https://www.elementary-data.com/community) if needed.
 - **Elementary Cloud**
-    - A **fully managed, enterprise-ready** solution designed for **scalability and automation**. It offers automated **ML-powered anomaly detection**, flexible **data discovery**, an integrated **incident management system**, and **collaboration features.** Delivering **high value with minimal setup and infrastructure maintenance**, it's ideal for teams looking to enhance data reliability without operational overhead. To learn more, [book a demo](https://cal.com/maayansa/elementary-intro-github-package) or [start a trial](https://www.elementary-data.com/signup).
+    - A **fully managed, enterprise-ready** solution designed for **scalability and automation**. It offers automated **ML-powered anomaly detection**, flexible **data discovery**, an integrated **incident management system**, and **collaboration features.** Delivering **high value with minimal setup and infrastructure maintenance**, it's ideal for teams looking to enhance data reliability without operational overhead. To learn more, [book a demo](https://cal.com/maayansa/elementary-intro-github-package) or [start a trial](https://www.elementary-data.com/signup).
 
 <kbd align="center">
 <a href="https://storage.googleapis.com/elementary_static/elementary_demo.html"><img align="center" style="max-width:300px;" src="https://raw.githubusercontent.com/elementary-data/elementary/master/static/report_ui.gif"> </a>
@@ -203,6 +203,6 @@ Check out the [full documentation](https://docs.elementary-data.com/).
 
 ## Contributions
 
-Thank you :orange_heart: Whether it’s a bug fix, new feature, or additional documentation - we greatly appreciate contributions!
+Thank you :orange_heart: Whether it's a bug fix, new feature, or additional documentation - we greatly appreciate contributions!
 
 Check out the [contributions guide](https://docs.elementary-data.com/oss/general/contributions) and [open issues](https://github.com/elementary-data/elementary/issues) in the main repo.