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Simplify Enterprise Search Using Smart Assistants
Simplify search of your organization's disparate data using Smart Assistants with a unified and simple, yet powerful, natural language interface for your customers, employees and vendors
Why Proxzar®

With our custom intent engine, an organization’s knowledge can be categorized as per the org structure or as per departments/divisions etc.. to facilitate incremental training and deployment of smart assistants.

Smart assistants can be deployed on the Web, Mobile and Enterprise apps like ERP, CRM, LMS or CMS and even could be integrated with Messaging apps like Facebook Messenger or other Online Platforms.

Proxzar has both Subscription and Pay-per-use models, which reduce the total cost of ownership to maintain smart assistants.

We use NLP and Deep Learning to understand and generate knowledge representations from content. Our proprietary algorithms use these representations to provide relevant responses by identifying right intents.
Training

Online Product Catalog Search

Regulatory Procedures Search

Employee Self Service

Employee Self Learning

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Recent Posts

Co-creating an AI product with Domain Expert: A Narrative
This article is a narration of co-creating an AI product with a domain expert…During our discussions, he felt a need for building a platform to engage: a) potential, b) existing and c) past students towards life-long sharing of knowledge and skills. And, he asked me, if AI could be of any help in building such a platform together…

Using AI in fuzzy front-end stage of an innovation process
This article might be more meaningful to product leaders working in organizations that have implemented a structured process of innovation (NPD) in some format – like a Stage/Gate or a process that captures ideas from employees and channels them through a structured process for evaluation/monitoring.

Limitations of NLP in building Question/Answering systems
When people communicate with each other, they have a specific language, an expression and an emotional feeling towards each other that allows them to speak and understand. Words play a crucial role in communication and have to be used and understood correctly. Customers seek answers for various queries, and in doing so, they expect businesses to respond as quickly as possible and with right solutions. But can a human work 24/7 and respond to millions of queries pouring in from different parts of the globe in multiple languages?