XenonStack Recommends

Managed Services for TensorFlow and Jupyter

TensorFlow and Jupyter Consulting Services

Discover end-to-end open-source machine learning platform TensorFlow which has a flexible ecosystem of tools, libraries, and community resources that runs Machine Learning models and provides remote access. And Jupyter Notebook is used for Data Cleaning, transformation, Numerical Simulation, and Statistical Modeling.


High-level Estimators

TF Learn is a top-level module inside TensorFlow that provides machine learning algorithms inside its estimator's module.


Streamlining Performance

TensorFlow has high standards for measurement and transparency. Optimization can often be model-specific, but some general guidelines can often make a big difference.


Manage ML Workloads

Manage and Optimize your Machine Learning and Artificial Intelligence workloads for Performance and Deployment.

Productionizing Machine Learning Models

Deploy ML models with microservices using Docker, Knative, and Kubernetes for serverless and containerized environments in minutes instead of weeks and deliver them to a valuable result much faster than in-house deployment.


Security Operations Services




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    Managed Security

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      Basic Monitoring

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      24 x 7 Support




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    All Standard features

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      Managed Backup Full and Daily Snapshots

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      Managed Operating System Patches and Updates, Hardening, Configuration and Tuning




  • XenonStack Tick Bullet

    All Standard and Pro features

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      Application Monitoring and Response CPU, RAM, Disk IO, URL, and Application metrics

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      Advanced Enterprise Analytics and Dashboard

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Machine Learning Solutions


Anomaly Detection Using Deep Learning

Enable an anomaly detection solution using supervised and unsupervised ML techniques to detect anomalies and make predictions from the data.


AI in log streams can automatically find the root cause of software problems by detecting clusters of correlated anomalies.

Tools to make decisions automatically from data to achieve any goal or requirement.

Automate ML Workflow and enable the sequence data to be transformed and correlated together in a model.

Automating and enhancing the tests for the security testing and prevents the attack-surface of the serverless platform.

ML Model Development Services

Scalable enterprise solutions for data science and AI teams speed AI development and deployment anywhere.


GCP Services

ML infrastructure development and implementation solutions on Google Cloud Platform.


Amazon Web Services

Leveraging Amazon ML capabilities to effectively adding intelligence to applications.

Related Machine Learning Insights

Machine Learning Model Visualization Types


Machine Learning Model Visualization Types


TensorFlow Architecture and its Benefits

TensorFlow Architecture and its Benefits

Implementing DevOps for Machine Learning


Implementing DevOps for Machine Learning



Converational AI

Virtual Assistant


MLOps have mixed data scientists and services designed to provide automation in ML pipelines and get more precious insights in production systems.


ModelOps encourages corporations to shorten production cycles and deliver results to end users at scale while continuously improving outcomes.

Operationalizing Conversational AI driven solutions for developing consistent experience,Improving Customer Acquisition and gaining Real-Time Personalized Insights.

Virtual Assistant

Build Voice and Text based assistants with Natural Language Understanding (NLU) and AI capabilities.