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    AI/ML Model Development & Deployment Services

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    End-to-end professional services for selecting, training, and deploying machine learning and AI models on AWS. Includes model evaluation, testing, optimization, and production deployment support.

    Overview

    TensorBio Dynamics provides expert professional services to help organizations accelerate their AI/ML initiatives. Our team has deep expertise in cloud-native machine learning, bioinformatics, and large-scale data science.

    Our services include:

    Model Selection & Evaluation: Guidance on choosing the right model family (transformers, CNNs, RNNs, GNNs, etc.) for your data and business case.

    Testing & Benchmarking: Rigorous validation against real-world datasets, metrics tuning (accuracy, ROC-AUC, F1), and overfitting checks.

    Training & Optimization: Distributed training on AWS (SageMaker, EKS, EC2 GPU), hyperparameter optimization, and cost optimization.

    Deployment & MLOps: CI/CD pipelines, containerization (Docker/EKS), scalable endpoints (SageMaker endpoints, ECS, or Lambda), monitoring, and retraining workflows.

    Domain Expertise: Special focus on life sciences, biotech, and computational biology but applicable across finance, media, and manufacturing.

    Delivery is flexible and tailored: advisory workshops, fixed-scope projects, or ongoing hands-on engineering engagements.

    Highlights

    • End-to-end AI/ML services, from model selection and testing to training, optimization, and cloud deployment on AWS.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Email: contact@tensorbiodynamics.com 

    Initial response within 1 business day.

    Resolution times vary by scope/complexity, but progress updates are guaranteed every 48 hours until closure.