Danielius Studio

AI agents & automation

AI Customer Engagement SaaS

Multi - tenant platform that tracks user behavior across client products and uses AI to trigger personalized engagement in real time.

Architecture: Core Platform

Client Business your customer End User their customer Tenant Workspace org-level isolation Web App tenant's product Mobile App tenant's product Multi-Tenant Auth 3 roles per tenant Web SDK drop-in tracker Mobile SDK drop-in tracker Event API Gateway single ingress Event Validation payload check Rate Limiting per-tenant caps Event Queue stream buffer Tenant Database orgs and config Event Store queryable history User Profile Store live attributes creates uses uses configures embeds embeds events events validates throttles tenant data persists updates

Architecture: Intelligence and Engagement

Event Stream from queue User Profile Store live attributes Tenant Database tenant config Behavior Analyzer activity patterns Segmentation Engine rule + AI hybrid Intent Predictor churn / value User Segments dynamic groups Churn Scores risk per user Recommendations next action / content Workflow Builder if-this-then-that Trigger Rules condition match Schedule Manager timed checks Action Dispatcher routes by channel In-App Message live via WebSocket Push Notification mobile / web Email Send via email API Funnel Reports step conversion Analytics Dashboard live + historical Retention Insights cohort curves events profiles tenant rules feeds rules on event timed in-app push email tracks all

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