Building Wizy Marketing AI on AWS: From Concept to Global Scale

For a startup in its breakout phase, choosing a robust and stable cloud infrastructure is a make-or-break decision. At Wizy, we rely on the AWS ecosystem to realize our vision of a smart, globally scalable Marketing AI platform.

1. The AWS Build Process for Wizy

Step 1: Brand Knowledge Preparation

The first step is helping the system "understand" client data (websites, past posts, product docs).

• •Tools: Amazon S3 for raw storage and Amazon SageMaker Data Wrangler for data cleansing.
• •Goal: Creating a clean "data lake" for high-accuracy AI learning.

Step 2: Intelligent RAG (The Memory)

Converting raw data into searchable vectors for instant semantic retrieval.

• •Tools: Knowledge Bases for Amazon Bedrock.
• •Vector Database: Amazon OpenSearch Serverless (auto-scaling, zero-ops).
• •Embedding Model: Amazon Titan Text Embeddings v2.

Step 3: Marketing Agents (The Brain)

Where top-tier LLMs drive creative writing and campaign strategy.

• •Tools: .