AI Platform & Compliance Architecture

Eastgate designed a backend-centric AI platform for a global education technology client, providing LLM orchestration, real-time content moderation, and strict compliance with international child data regulations. The architecture supports three user roles - parents, teachers, and students - with isolated data flows and full audit capability. Delivered in 2026 as a project-based engagement.

Challenge

• Required a robust backend architecture capable of handling AI interactions, real-time moderation, and LLM orchestration at scale.
• Platform had to enforce strict global child data compliance including consent management, audit trails, and data lifecycle controls.
• Needed seamless and secure data flow between parents, teachers, and students within a transparent, role-separated system.
• Architecture had to support both web and mobile access while maintaining consistent compliance guarantees.

Solution

• Designed a backend-centric platform architecture for web and mobile with clear role separation.
• Built an AI orchestration layer for LLM interaction and real-time content moderation.
• Implemented compliance-by-design with consent management, audit logs, and data lifecycle controls.
• Enabled secure and scalable data flow across all three user roles with isolated data access.

Architecture

Outcome

• Delivered 100% compliance-ready architecture meeting global child data protection standards.
• Achieved AI moderation response latency under 300ms for real-time interaction safety.
• Supported 3 distinct user roles with isolated permissions and transparent data access.

Tech Stack

• Backend: Ruby on Rails, Python
• AI/ML: FastAPI, LLM APIs
• Infrastructure: AWS
• Tools: iOS, Android