Artificial Intelligence (AI) is changing the way businesses serve and interface with their employees and customers. Smart machines and systems are bringing unprecedented growth and value to enterprises. Many businesses have realized the power of AI and started using AI BOTs, Sentiment Analysis, and Image Processing to learn more about the customers and their needs and serve them better, as well as improve internal operations.

At Audax Labs, we’re working with forward thinking businesses in developing solutions for the workforce of the future using AI and combining it with technologies such Augmented Reality (AR), Artificial Intelligence (AI), Cloud, Analytics and Industrial IoT to help businesses successfully undergo digital transformation initiatives.



  • Predictive maintenance
  • Visual quality control
  • Demand forecasting
  • Early-warning systems


  • Image recognition, speech recognition, gesture recognition
  • Predictive maintenance
  • AI-based in-vehicle infotainment systems
  • AI Driver Assist and autonomous vehicles

Sports Fitness

  • Computer vision and gesture recognition
  • Virtual fitting rooms and mirrors using AI and AR
  • In-store assistance


  • Real-time medical diagnosis
  • Personal health virtual assistant
  • Medical imaging analysis and diagnosis assistance
  • Dictation assistance with NLP
  • Healthcare bots


Component Detector

Component Detector for Content Intelligence

Audax Labs developed machine learning model to identify and tag the P&IDs components data from .pdf and image files.

Use OCR and find relevant data to differentiate among similar models. Use Content Intelligence for tagging and indexing metadata.


  • Saves time and cost
  • Improves efficiency
  • Scalable
  • Reliable

Sentiment Analysis

Sentiment, Image, and Video Analysis

Audax Labs have created a tool to demonstrate their solutions in Sentiment Analysis, Image Analysis and Video Analysis. Sentiment analysis read customer’s sentiment from the input data feed (emails, chats, documents) and tell if sentiments are positive, negative, or neutral.

Image and Video analytics engine are able to identify emotions, adult content, racy content, brand, logos, person in the images, videos, and objects.


  • New revenue model
  • Reduce Cost
  • Automation
  • Improved Productivity and Performance


Audax Labs OCR Demo

Audax Labs developed an on-prem OCR solution (leveraging Machine Learning and Computer Vision) and integrated the same with HCI for identifying sensitive information from images and .pdf objects. OCR reduce regulatory risks as it processes scanned images and pdf files to text.

Customer HCI is integrated with OCR solution to process data for scanned images. Custom SharePoint connector for HCI allows to bring SharePoint data to compliance preview. OCR plug-in supports following file format(s): PDF, BMP, JPEG, TIFF, GIF, and PNGs


  • Data discovery and Compliance
  • Data security
  • Cost saving due to:
    • Saving in storage cost
    • Maintenance efforts

Aline Insoles

Audax Labs developed “Aline” App with top notch technologies like AI (Artificial Intelligence), ML (Machine Learning), and AR (Augmented Reality).

Aline app scans the leg and calculates position of ankle and knees and highly trained ML engine then suggests the best insole for that particular case.


  • No professional caregivers required
  • Cost effective
  • Scope of business expansion

Hitachi Next 2019

Where's Waldo

The game is powered by Machine Learning engine which allows user to compete with machine. The user will find Waldo from the handout given to him while the application uses ML to find the same from the input image. The application will return the time taken by ML engine.

Funny Faces

An ML based solution in the form of a fun game that identifies user’s emotions after analyzing their facial expressions.
The game takes a picture of the user, analyzes it using Machine Learning Engine and identifies the emotions exhibited by them.

He Said - She Said

An innovative solution that allows user to analyze his/her twitter feed for a defined interval. It uses a Sentiment Analysis Engine and processes the tweets to find out hidden sentiments. User can see a detailed dashboard and get further data insights, sentiments, and trends.

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Talk to us to learn more about our solutions and how we can help you accelerate forward on your journey toward the future.