RetainAI

AI-native retention intelligence platform and multicloud product foundation.

RetainAI is a public portfolio project focused on employee-retention analytics, explainability, MLOps practices, cost/security controls, and a multicloud deployment model.

It is presented here as a technical case study: product direction, architecture, infrastructure, documentation, and AI-assisted implementation.

Current public version

• Source repository: HubertRonald/RetainAI
• Current documentation snapshot: v0.4.0-alpha.1
• Dashboard target domain: https://retainai.hubertronald.dev/
• Backend target domain: https://api.retainai.hubertronald.dev/

Documentation sections

Project READMERead the synchronized public README from the RetainAI source repository.Documentation IndexBrowse the synchronized RetainAI technical documentation snapshot.ReportsReview generated reports and public artifacts included in the source repository.Documentation ReleasesTrack RetainAI documentation releases for the Hubert Ronald GitHub Pages site.

Positioning

RetainAI is not only a demo dashboard. It is a product-oriented architecture exercise covering:

• machine learning product design;
• explainability and retention-risk interpretation;
• Streamlit dashboard delivery;
• API-based backend delivery;
• GCP Cloud Run frontend deployment;
• AWS API Gateway and Lambda backend deployment;
• Terraform-based infrastructure;
• authentication and quota boundaries;
• future AI/RAG advisory capabilities.

Brand note

RetainAI is treated as a Hubert Ronald AI-native product case study.

Liasoft remains focused on indie games, creative apps, demos, and visual experiments.