After moving your document data into AWS via an ETL pipeline, we build a custom solution to process and summarize your data. Using Amazon Textract, Amazon Comprehend, and other techniques and services, we extract the data and add suicient structure to allow for agent-based execution targeting foundation models of your choice to analyze and summarize.

After this groundwork is complete, we’ll work with you to fine-tune summary output and model performance according to your needs for data throughput, stakeholder visibility, and ongoing storage and access.

To do this, we’ll work backward with you to understand all the requirements you need fulfilled by your Generative AI solution. We analyze things like:

From these, we’ll develop a best-fit architectural approach and design everything from model stores,
experimentation, endpoint deployment, pipelines, and the data infrastructure. As a part of every engagement, we document this system from top to bottom and conduct extensive knowledge transfer so that your team can maintain it into the future.