Unlock the Value of IoT

Connect with AWS IoT

We offer end to end Internet of Things implementations. Our team excels at connecting things and seamlessly deriving business value. We pride ourselves on doing it right the first time.

Diverse Market Verticals

As a leading Advanced AWS Consulting Partner, TensorIoT can bring the depth and breadth of our industry experience to leverage and design custom solutions to help make our clients successful. TensorIoT specializes in providing solutions to clients in several industry verticals.



Improve service & efficiency.

  • Insurance Pricing.
  • Claim Fraud Prevention.
  • Claim Payment Automation.
  • Direct Marketing.

Customer Service

Customer Service

Improve customer experience.

  • Automated Responses.
  • Custom Chatbot with Q&A service.
  • Optimized Routing.
  • Re-design App Workflow.



Optimize your network.

  • Prioritize for Edge.
  • Monitoring infrastructure.
  • Enhance legacy infrastructure & devices.
  • Routing & Caching Optimization.



Reduce risks to portfolio.

  • Credit Scoring.
  • Fraud Prevention.
  • Risk Management.
  • Stress Testing.



Improve patient care.

  • Disease Propensity.
  • Forecasting ICU Occupancy.
  • Re-admission Risk.
  • Track Compliance.



Improve Outcomes.

  • Predict Customer Churn.
  • Customer Segmentation.
  • Lifetime Value.
  • Personalized Advertising.

Customer Success

TensorIoT assists clients in various market verticals. We continue to work with customers to create solutions that bring lasting value to their business. Our IoT use cases help us maintain close relationships with our customers that often persist through multiple engagements. Read more about how we partnered with our clients to ensure their success.

Windfarm Predictive Maintenance

Sentient Science wanted to facilitate frictionless onboarding and predictive maintenacne of wind turbines. Sentient DigitalClone platform showcases prognostic value early in the engagement lifecycle. The Cold Start model can be applied to every wind turbine in the United States. The initial data analysis can be integrated with a full turbine model that can be trained using customer data.

TensorIoT is leveraging AWS IoT, Greengrass, IoT Analytics and Amazon SageMaker to build an end-to-end scalable solution to ingest, process and analyze windfarm data to derive business value. The solution will shorten sales lifecycle of Sentient DigitalClone platform and drive rapid customer value creation and growth.

Intelligent machines lead to significant cost savings for industrial manufactures 

Reliance Steel teamed up with TensorIoT to connect its industrial machines to the internet and get telemetry data from the different sensors and loggers on the machines. Reliance Steel uses Amazon SageMaker to do preventive maintenance on their industrial machines based on the data that’s being brought in to the system.

By partnering with TensorIoT to develop an Industrial IoT solution, Reliance Steel brought innovation to its machinery through the implementation of modern architectures, sensors for legacy augmentation, and machine learning to make the newly acquired data intelligent and actionable.

Cutting Edge Training Immersion

With new and changing technology innovations, rapidly shifting customer base, and disruptions in the tech industry, the state of business moves at a lighting pace. We thrive on working with our clients to assist them through the changes and ensure our staff is up to date on essential training.

Getting Started with AWS DeepLens –
3 Days

  • Rapid Device Setup

  • Use built-in models

  • Create custom models

  • Deploy models to AWS DeepLens

  • Intro to AWS Lambda

  • Intro to Amazon Sagemaker

  • Train with Amazon SageMaker

  • Automate end to end workflow

Amazon Sagemaker Labs –
1 Week

  • Intro to Amazon SageMaker

  • Notebooks in Amazon SageMaker

  • Deploy a trained motel

  • Bring your own model

  • Review built-in algorithms

  • Training a model

  • Invoking the endpoint at scale

  • Other frameworks in Amazon SageMaker

Machine Learning at EDGE Labs –
1 Week

  • Intro to AWS IoT and AWS Greengrass

  • Install & Setup AWS Greengrass

  • Deploy model to Edge

  • ML Inference on Edge

  • Intro to AWS Lambda

  • Create and train model

  • Review model versioning support

  • Automate discovery to notification

Ubiquitous Voice Interface with Alexa
– 1 Week Lab

  • Review Alexa, ASK, AVS and A4B services

  • Gather requirements and user stories

  • Create custom skill

  • Integrate with wider AWS ecosystem

  • Create a starter skill

  • Lead design and development of UX/UI

  • Assist with ROI analysis

  • Advanced Admin Panel

Product ML Implementations –

  • Map requirements to user stories

  • Lead design, development and testing

  • Automate the full CICD process

  • Source Files Included

  • Define a ML roadmap

  • Develop Models with Customer team

  • Advanced Admin Panel

  • 24×7 Priority Email Support

View our Events page to see more of our Machine Learning Offerings

View Upcoming Events

Where IoT meets Machine Learning

Analyze, design and visualize

Make the most of your data by learning valuable insight or creating an interactive digital experience for your users. TensorIoT knows that no two clients are alike, so we look to blend analytics, design and engineering to meet the current and future needs of our customers. We bring our deep expertise, drive and passion to solve your unique needs. Some of our offerings include:

Anomaly Detection

Accurately predict outliers.

Applications range from intrusion detection (identifying strange patterns in network traffic that could signal a hack) to system health monitoring (spotting a malignant tumor in an MRI scan), and from fraud detection in credit card transactions to fault detection in operating environments.

Built using MXNet in Amazon Sagemaker, our domain specific supervised and unsupervised models may be retrained with your data.

Object Detection

Detect and Localize objects.

Fast and accurate systems for object detection and localization are necessary for autonomous vehicles, smart video surveillance, aerial image analysis, facial detection and various people counting applications.

SSD and Faster R-CNN based models built in Amazon Sagemaker to rapidly re-train using your specific data.

Click-Through Predictions

Improve customer experience and CTR.

Applications range from multiple classification, regression, and ranking use-cases. This may be added into real-time bidding systems or intergrated into the customer workflow on websites and apps.

The model uses XGBoost to run a real-time predictor and return a scored prediction result.