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Proxzar® builds and hosts scalable, budget-friendly AI trained proxies such as virtual assistants, bots and enterprise search apps for large organizations and Influencers.
Why Chose Proxzar®
Incremental Deployment
Ease Of Deployment
Incremental Deployment
Omni-channel Deployment
Lower Technology Costs
Proprietary AI Algorithms
Lower Technology Costs
Custom Intent Engine
Usecases
Helping potential customers in selecting right products based on their requirements gathered during real-time conversations with a proxy, which is created and trained with the data from the products manufactured and/or distributed by the organization. The proxy is accessed through a natural language interface.
Regulatory Procedures Search
Provide just-in-time understanding of the processes and procedures or work instructions related to regulatory or quality standards like ISO 9001:2008 or ISO/TS 16949:2009 for Automotive or BIS or FSSAI regulations to employees of the organization.
Distance Learning Programs
Address the challenge of scheduling conflicts and limited availability of Faculty in the Universities and Academic Institutions that offer distance learning programs. The institution can create and train one or more proxies with data from the subject matter expertise of respective faculty. The proxies can be accessed through a natural language interface by the students who enroll into courses offered by the institution.
Employee Self-service
Create and train one or more proxies with data on HR or Quality or other Technical processes and procedures. The trained proxies can be seamlessly integrated into the organization’s enterprise portals like SAP, Oracle HRMS etc..
Employee Self-learning
Reduce overall costs of the organization’s Learning and Development with proxies trained with data from assorted courses on which the employees are getting trained. The proxies can be seamlessly integrated into the organization’s enterprise LMS or CMS.
Influencer Avatar
An influencer who is a subject matter expert with hundreds of followers can create and train his proxy on our platform without any knowledge of Artificial Intelligence. His proxy can be accessed by his followers using a natural language interface – either provided by Proxzar or through a custom application.
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Recent blog posts on applications
Recent Blog Posts
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?
Using AI to identify and mitigate risk
Machine Learning (ML) models in AI can self-learn and improve their knowledge over time by using as much as data possible. ML also plays a prominent role in mitigating risks across the enterprise. Today, AI is largely being used to create algorithms and tools that help companies to monitor and analyze behavior and activities in real-time.