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Who We Are
QuickPod AI builds production-grade AI pipelines that transform raw web crawl data into structured intelligence for adtech, brand safety, compliance, and publisher monetisation.
We operate across the full stack — from distributed crawl processing (Apache Spark over 100K+ Common Crawl shards) through multilingual neural translation and ModernBERT fine-tuning, to real-time inference APIs.
Flagship: IAB Content Taxonomy Classifier
Our headline model classifies web content against the IAB Tech Lab Content Taxonomy 3.0 across all three hierarchy levels.
| Tier | Categories | Accuracy |
|---|---|---|
| Tier 1 — Broad topic | 27 | 98.1% |
| Tier 2 — Sub-category | 434 | 79.8% |
| Tier 3 — Specific topic | 217 | 56.1% |
Training data: 33.5 million multilingual domain examples · 26 languages
Architecture: ModernBERT-base · unified multi-head encoder · hierarchy-consistency loss
Languages: ar · bn · de · en · es · fa · fr · hi · id · it · ja · ko · mr · nl · pl · pt · ru · sw · ta · te · th · tr · uk · ur · vi · zh
Products & Capabilities
| Product | Description |
|---|---|
| IAB Classifier API | Real-time URL/text → IAB tier-1/2/3 classification |
| Domain Authority Index | CC-MAIN DuckDB authority scores for 200M+ domains |
| Keyword Intelligence | Per-domain keyword aggregation from WAT crawl metadata |
| Multilingual Taxonomy | IAB classification in 26 languages |
| Content Safety Models | Spam · Toxicity · NSFW · Sentiment · Emotion classifiers |
| Brand Safety Scoring | GARM-aligned content tier mapping for DSP/SSP |
Use Cases
| Industry | Application |
|---|---|
| Programmatic Advertising | Brand-safe contextual targeting, IAB taxonomy compliance |
| Publisher Monetisation | Automated inventory categorisation for DSP/SSP integrations |
| Content Moderation | Real-time spam, toxicity and NSFW flagging at ingest |
| Search & Discovery | Topic classification for crawled and indexed content |
| Ad Verification | Pre-bid and post-bid URL classification at scale |
| Data Enrichment | Domain-level taxonomy enrichment for audience segments |
Technical Pipeline
Our 8-stage production pipeline:
Kaggle (98K domains) + Common Crawl WET/WAT (100K+ shards)
↓
LLM Label Correction (AWS Bedrock — 49.7% label error rate found & fixed)
↓
IAB Seed XL (LLM-synthetic examples for all 678 IAB taxonomy nodes)
↓
Unified Hierarchical Training Data (English, Spark)
↓
Argos Neural Translation → 26 languages, 33.5M rows
↓
ModernBERT Fine-tuning (sharded training, RTX 5090)
↓
Real-time Inference API + HuggingFace Demo Space
📋 Full pipeline documentation →
Resources
| 🔬 Live Demo | quickpod/iab-content-classifier |
| 📊 Training Dataset | wet-iab-ds-multilingual-unified-training-all26-v1 |
| 📋 Pipeline Docs | PIPELINE.md |
| 🌐 Main | quickpod.io |
| 🤖 AI Hub | quickaihub.io |
| ⚡ Platform | aiquick.io |
| 🛠️ Web Tools | websitetools.io |
For API access, model licensing, or enterprise integration — contact us via quickpod.io
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