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 Welcome to Snowplow, the leader in customer data infrastructure (CDI) for AI, enabling every organization to transform raw behavioral data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalization engines, and AI agents.
 
-Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media rely on Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications.
+Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media rely on Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and to integrate deep customer context into their applications.
 
 
 ![diagram of snowplow architecture](@site/static/img/snowplow-cdi.png)
 
 ### Why Customer Data Infrastructure (CDI)?​​
 
-Snowplow lays the foundation for an organization's advanced analytics, operational, and ML and AI use cases, including customer insights, predict customer behaviors, hyper-personalize customer experiences, and detect fraud in real time. 
+Snowplow lays the foundation for an organization's advanced analytics, operational, and ML and AI use cases, including customer insights, predicting customer behaviors, hyper-personalizing customer experiences, and detecting fraud in real time.
 
-Key benefits of Snowplow’s CDI:
+Key benefits of Snowplow's CDI:
 * Data depth and quality
 * Centralized data governance
-* Real-time operationalization & personalization
+* Real-time operationalization and personalization
 * Privacy and compliance
 * AI and BI-ready behavioral data
 
 
 ### Why Snowplow?
 
-* “Glass-box” technical architecture capable of processing billions of events per day
+* "Glass-box" technical architecture capable of processing billions of events per day
 * **Over [20 SDKs](/docs/sources/trackers/index.md)** to collect data from web, mobile, server-side, and other sources
 * A unique approach based on **[schemas and validation](/docs/fundamentals/schemas/index.md)** ensures your data is as clean as possible
 * **Over [15 enrichments](/docs/pipeline/enrichments/available-enrichments/index.md)** to get the most out of your data