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From raw data to production-deployed models — we own the full ML lifecycle with industry-leading accuracy and sub-50ms inference times.
Binary and multi-class models for fraud detection, sentiment analysis, medical diagnosis, and content moderation.
Predict continuous outcomes — pricing, demand forecasting, lifetime value, and risk scoring with confidence intervals.
Discover hidden patterns and segments in your data without labeled examples — customer segmentation, anomaly detection.
Collaborative filtering, content-based, and hybrid systems that personalize at scale with sub-50ms latency.
Real-time outlier identification for cybersecurity, manufacturing quality control, and financial surveillance.
LSTM, Transformer, and Prophet-based forecasting for revenue, inventory, energy, and operational metrics.
REST or gRPC API deployed on AWS/GCP/Azure with auto-scaling, load balancing, and 99.9% uptime SLA.
On-device inference using ONNX or TensorRT — for latency-sensitive or offline applications.
Large-scale offline inference via Spark or Ray for data warehouse pipelines and nightly scoring jobs.
Kafka-integrated inference for fraud detection, recommendation, and monitoring use cases.