Processes 2B+ signals daily across distributed GPU clusters with sub-50ms inference โ purpose-designed for real-time advertising intelligence at global scale.
From raw advertising signal to actionable intelligence in under 50ms.
Stacked ensemble of XGBoost, LightGBM, LSTM temporal models, and Isolation Forest โ voted by a neural meta-learner. Trained on 890M fraud-labeled samples.
Transformer-based architecture with multi-task learning across conversion types. Causal inference for attribution modeling, federated learning for privacy preservation.
Reinforcement learning agents using contextual bandits for bid optimization, deep Q-learning for budget allocation, and Thompson sampling for affiliate A/B testing.
Our ML platform is built on battle-tested open-source frameworks, trained on proprietary advertising datasets collected over years of real-world operation.
Every advertising event is processed as it happens โ enabling real-time model scoring and instant fraud decisions without batch latency.
Enterprise-grade cloud infrastructure for compute, storage, and real-time data pipelines โ deployed across multiple AWS regions for global resilience.
GPU compute clusters for real-time inference and model serving
Scalable data lake for training datasets and model artifacts
Real-time streaming analytics processing 2B+ events daily
Managed ML pipeline for model training, validation & deployment
Sub-millisecond feature store for real-time model feature lookups
Global CDN for low-latency API delivery across 200+ countries
Our model training infrastructure leverages NVIDIA A100 GPUs via AWS p4d instances, enabling full model retraining every 6 hours on 47B+ labeled advertising events.
Independently audited security controls and data handling.
EU data residency options with privacy-by-design architecture.
End-to-end encryption at rest and in transit. Zero-knowledge.
Multi-region redundancy with automatic failover. 24/7 SOC.