Data Analytics

Data-driven decision-making is an essential component of emerging engineering systems that generate and consume very large amounts of data.
Henotic Analytics drives initiative to develop Data Analytics across multiple domains and predominant use cases.
Henotic’s multidisciplinary approach enables customers with a data driven business decision.

Transform Organizations to -
  • Analytics Aware
  • Analytics Enabled

Artificial Intelligence is moving fast everywhere.

Artificial Intelligence is changing the fundamental structure of every industry in areas ranging from agriculture to cybersecurity to commerce to healthcare, and more.

Artificial Intelligence adapts progressive learning. AI works on patterns of data. AI recognizes structures and regularities of data so that the learning becomes progressive. This learning process is adaptive and helps the machines to self-learn.
Artificial Intelligence
We design and develop AI solutions for various customers in domains such as Health Care, FinTech, Insurance, Retail, Life Sciences, Telecom and HR to enhance their Productivity, Revenue and Long-term Sustainability.

Solutions we offer are –

  • Natural Language Processing
  • Speech Recognition
  • Computer Vision
  • Patient Analysis
  • Intelligent Recruitment
  • Expert Systems

Artificial Intelligence
Artificial Intelligence

Businesses worldwide are generating huge volumes of data. Our ML solutions enable businesses with Reactive and Proactive approaches by publishing relevant dashboards.

Reactive Approach
  • Descriptive Analytics
  • Diagnostic Analytics
Proactive Approach
  • Predictive Analytics
  • Prescriptive Analytics

Huge ROI’s can be generated by companies by consciously adopting Henotic ML approaches to optimize their supply chain, lower operating costs, increased revenues and improve their customer service.

Our Machine Learning Approach is a 7-step process

  • Connect ML with business objectives
  • Data Extraction from multiple varied sources
  • Data cleansing
  • Model Selection
  • Model Deployment & ML Engine
  • Generate Insights & Visualizations
  • Business Recommendations to assist on-demand Decision Making
Machine Learning

Our Machine Learning Tool Kit

Tensor Flow

Deep Learning is the fastest growing discipline in the field of artificial intelligence. Deep Learning is the use of artificial neural networks that contain more than one hidden layer. Our proprietary deep learning platform helps in developing highly-accurate predictive models. We have developed successful POCs across multiple business scenarios, from credit risk to wealth management, from churn-rate prediction to fraud detection, leads generation and liquidity predictions. Machine Learning

Deep Learning
Deep Learning

Businesses want a huge progress in the areas of cost reduction and efficiency. Early adopters have proven to the world that chatbot deployment is the way to go.

Chatbots are artificial intelligence systems that we interact with via text or voice interface.

We offer chatbot solutions for any industry ranging from Healthcare to Banking & Finance, Insurance, Retail, Education and beyond.

Our intelligent dialogue platform communicates with a user through a chatting platform and can be used in messenger products. The intelligent platform accumulates data continuously during a conversation and provides an appropriate answer to the situation.

Our Chatbot solution is an interactive consultation agent system modelled using advanced NLP techniques.


Our team of Specialists resolve data quality issues through imputation, de-duplication, incorporation of new attributes, and the redesign of data collections.Our data governance experts examine and improve metrics that enhance the creation, transformation, and use of data for analytical purposes.

Our integration platform ingests structured and unstructured data from multiple sources and eventually available for consumption.

We embark on industry-standard approach for insights visualization. The process includes procuring, classifying and retaining data, generating various analytics models from the data, and finally analyze models for building actionable business strategies. Insights visualization covers:

  1. Data Mining
  2. Model Building
  3. Business Insights