Cublya

Custom AI & ML Models

#AI#ML#Custom Models#Data Science

We develop, train, and deploy custom AI/ML models for your unique business needs. Our expertise covers TensorFlow, PyTorch, scikit-learn, and cloud ML platforms (AWS SageMaker, Google Vertex AI) for tasks like predictive analytics, NLP, and computer vision.

Custom AI & ML Models

Our Process

0120%

Data Collection & Exploration

Gather, audit, and explore datasets to frame the problem and assess feasibility.

0240%

Data Preparation

Data cleaning, labeling, and feature engineering for ML pipelines.

0360%

Model Training & Evaluation

Build, train, and validate models using TensorFlow, PyTorch, or scikit-learn.

0480%

Deployment & Monitoring

Deploy models as APIs (AWS SageMaker, Vertex AI) and set up performance monitoring.

05100%

Retraining & Iteration

Track drift, retrain on fresh data, and continuously improve model accuracy.

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