iTrust is a framework that integrates Artificial Intelligence and Blockchain technologies into scalable solution with cognitive capabilities that make it easier for businesses to:

• Safeguard data using blockchain-based distributed ledger technologies with enterprise-class controls that make information trustable, verifiably secure and cryptographically immutable;


• Rely upon information for compliance and audit; and


• Make faster, better-informed and more timely decisions using “intelligent systems using AI technologies” that learn on the fly.

Through pattern recognition and advanced decision techniques, AI guarantees virtual trust- which means data cannot be tampered with. When integrated with a Hospital Management System or app, iTrust ensures that information such as a patient’s admission/discharge cannot be modified without it being flagged automatically.

DARTexon iAssist is an intelligent virtual assistance system that combines Natural Language Processing with Cognitive Analytics. It’s a versatile tool that can be “trained” for use across industry verticals and business functions, with the right rules and algorithms.

Types of iAssist framework:

• Knowledge Discovery: These bots curate content libraries and provide relevant information in response to queries raised by end users. For example, a chatbot on a hospital/clinic web site or app can guide patients to the right clinician by asking some basic questions about the nature of the problem, besides seamlessly also enabling him/her to fix appointments with the doctor/hospital.


• Intelligent Transaction: This framework empower interfaces either as web or mobile applications application through which customers can experience the shopping cart function.
  For example, a retail store could build a conversational bot that enables visitors to search for an item and seamlessly enable shopping cart function during the conversation. For the business, this reduces the risk that the search may not end as a completed transaction. On the other hand, this makes it easier for the visitor to quickly buy what s/he was looking for.


• Smart Enterprise: This framework can connect to multiple enterprise data sources and gather relevant information. For example, quickly scanning maintenance history logs of shop floor equipment can make it easier to troubleshoot problems; this can also facilitate detailed reporting of the problem to the manufacturer, making it easier for them to service and fix the problem faster, thus reducing down time.

DARTexon iConverse is an intelligent conversational commerce framework that integrates with advanced conversational technology platforms now available (e.g. Watson Assist or Google Diaglog flow).
The former allows end-users to ask queries in English, in response to which the latter enables extraction of real-time responses from the relevant datasets. Machine learning algorithms train these “smart datasets” over a period of time to answer questions in ways similar to how humans would answer the question. They get ability to extract: Adverse Events, Symptom Analysis and Referral Patterns

• App is a program that is designed for end to ask queries;


• In turn, the way Conversation Flow works is by taking some sample user sentences to start out with. Then, it trains it’s engine to generate an algorithm that best matches these sentences to the correct intents.


• In simple words, Fulfillment is a mapping between what the user “says”, and what operation the whole iConverse takes on that instruction.