SkaFld.AccelAdTech / Compliance

Comply AI

AI-powered ad compliance that scores ads against platform policy before they go live — rebuilt on a modern, scalable stack.

The Problem

Media buyers and agencies lose time and spend to ad disapprovals, with no proactive way to catch policy risk before launch. The platform had also sprawled into 13 microservices and 64,000+ lines that were expensive to run and hard to scale.

What We Did

A Growth Acceleration engagement: full codebase and architecture analysis, a security and cost assessment, and a greenfield v2 rebuild — consolidating services and rebuilding the AI compliance-scoring engine.

What We Built

Architecture Analysis

Full review of 13 microservices, security, and infrastructure cost.

Service Consolidation

Reduced 13 services toward a maintainable 5–7.

Compliance Engine

Rebuilt 0–100 risk scoring across ad text and image analysis.

Modern Cloud Stack

A cloud-native rebuild designed for scale and developer velocity.

Results
13 → 5–7
Microservices consolidated
~30%
Infrastructure cost reduction identified
8.5% → 80%
Goal: test coverage
13 → 5
Services Consolidated
Status

v2 rebuild ~85% complete; launch hardening remaining.

Stack & Approach
Next.js 14FastAPI · PythonSupabase (RLS)Upstash Redis · BullMQVision + LLM analysisTurborepo