We build intelligent systems that solve real-world business problems using machine learning and neural networks — from data prep to deployed model.
Sales, demand, churn, fraud — we build, validate, and deploy models that actually generalize. Not just notebooks: production endpoints with monitoring.
AUC
0.94
F1
0.89
Recall
0.91
From CNN-based image classifiers to transformer-based recommenders. We pick the right architecture, train on our GPUs, and ship inference at scale.
Sales, demand, churn, LTV — robust forecasting with confidence intervals.
Two-tower, matrix factorization, sequence-based — for ecommerce, content, music.
Image, text, audio classification. Object detection. Anomaly and fraud detection.
ETL pipelines, feature stores, data validation, drift detection.
Quantization (INT8/FP16), pruning, distillation, ONNX export for fast inference.
Serving via Triton, BentoML, or FastAPI. A/B testing, shadow mode, rollback.
Diagnostics, triage, claim prediction
Credit scoring, fraud, KYC automation
Personalization, demand, churn
Adaptive learning, drop-out prediction
From a vague problem to a production endpoint in 4–6 weeks.