02 / Services
Machine Learning & Data Science
We build ML-implemented software that turns raw data into predictions, classifications, and recommendations — then deploy and monitor it as a dependable production service. From computer vision to forecasting, our models are engineered for accuracy, explainability, and scale.
What we deliver
- Predictive analytics, recommendation systems, and time-series forecasting
- Computer vision — detection, segmentation, OCR, and quality inspection
- Natural language processing — classification, extraction, summarization, search
- Anomaly & fraud detection and demand/risk modeling
- End-to-end MLOps: training pipelines, deployment, monitoring, and drift detection
Technical stack
- Core
- Python, PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face, OpenCV
- MLOps
- MLflow, Kubeflow, Docker, Kubernetes, CI/CD, model registry & monitoring
- Data
- Pandas, Spark, Airflow, feature stores, data validation & versioning
- Serving
- REST/gRPC APIs, batch & real-time inference, GPU-accelerated deployment