Utilize the power of AI to transform business for human interaction.

“Alexa, what is TensorIoT?” 

“TensorIoT develops innovative solutions to transfer, transform and extract data tailored to your company needs with personalized interaction through AI technologies.” – Alexa

Accelerating Outcomes

Successfully handoff Lex Language Model and Lambda code developement teams. Replace and Interactive Voice Response (IVR) system with Lex bot to optimize routing calls. 



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

Enable scale capabilities of a conversational interface and enhanced customer experience.

Making Cities & Counties accessible for all

Citibot wanted a system where citizens of every county were able to communicate day to day issues with their government and at the same time hold the governments accountable to resolve their issues.

TensorIoT developed a next generation chatbot built on top of serverless technologies using Amazon API Gateway, AWS Lambda, Amazon Lex, Amazon DynamoDB and Amazon Elasticsearch and connecting to several 3rd party services including Twilio, Trello, Bing and city backend sites.

ML Forecast Model for Product Manufacturing Demand

A leading developer of research instruments, equipment and software wanted to create a connected lab.  Alexa Voice Services allow scientists to operate machines with voice interactions either remotely or in sterile environments.  ThermoPrice believes maximizing AWS will help create more bandwidth for scientist leading to better treatment in the near future.

Amazon Forecast took in site-specific manufacturing data, as well as a host of metrics surrounding historical sales and product demand, and then used machine learning to predict optimal production schedules by manufacturing site.

See More Success Stories

Conversational AI meets ML

Artificial Intelligence goes hand in hand with Machine Learning. Chatbots are evolving in capability and complexity. Creating a bot today requires a team of content owners, engineers and data scientists to work together. 

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

How TensorIoT Harnesses the Power of ML

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.