Built for Scale
Drivia is enterprise-grade from the ground up. Here's the full technology stack, architecture decisions, and security practices that power the platform.
100+
Database Tables
26+
Edge Functions
30+
Widget Types
200+
RLS Policies
40+
API Routes
100+
DB Migrations
500+
TypeScript Files
5
Accessibility Modes
Architecture Overview
Drivia follows a modern JAMstack architecture with server-side rendering for SEO and performance, client-side interactivity for rich learning experiences, and edge functions for AI processing and background jobs.
The frontend is a Next.js 15 App Router application deployed on Vercel's edge network. Server components handle data fetching and SEO, while client components power interactive widgets, the AI tutor, and real-time features.
The backend is a combination of Next.js API routes (for auth-protected operations) and Supabase Edge Functions (Deno runtime for AI, webhooks, and scheduled jobs). All database access goes through Supabase's PostgREST layer with row-level security enforced at the database level.
AI features use a multi-provider strategy with OpenAI and Anthropic models, wrapped in security guardrails that include rate limiting, prompt injection detection, input sanitization, and output validation.
Frontend
Backend & API
Database
AI & Machine Learning
Security
Infrastructure
Why This Stack?
Performance
Server components + edge deployment = sub-second page loads globally. No spinners, no waiting.
Security First
RLS at the database layer means even a compromised API can't leak data. Defense in depth.
AI-Native
Built with AI from day one, not bolted on. Every component is designed to work with the AI tutor.
Enterprise-Ready
SOC 2 compliant infrastructure, audit logging, SSO support, and compliance reporting.
Questions about our technology or security practices? Contact our engineering team