JAVIS is an “Enterprise Works Platform” that integrates multiple systems both within and across organisations to enable users to get their work done easily over a single interface.

Companies have been buying SaaS solutions for the last 20 years. They being ‘narrow point solutions’, employees face daily friction in navigating across systems. Even with customers like Large Format Retailers, Distributors & Kirana Stores, work continues to be manual either because the systems are not connected or the customer is too small to have a technology setup. 

In the 21st Century, there is got to be a “Smarter Way to Work”.

From enabling WhatsApp to analyze data & access trusted AI driven insights on-the-go, to powering end-to-end automated Order-to-Cash platform or establishing a two-way communication between the Brand & the Kirana Store - businesses use JAVIS in a variety of ways. 

JAVIS currently has three offices in Mumbai, Bengaluru & Gurgaon and operations in 8 countries. We are committed to foster a diverse and inclusive workplace in JAVIS. We strongly believe that when people of different backgrounds, experiences, and perspectives come together, we create a pleasant & supportive workplace that leads to better products for our clients. 

Come do the best work of your life here at Javis & play your part in changing the way people work.

Automation

Business Tools

Enterprise Software

Logistics & Supply Chain

Retail

JAVIS

This department focuses on the design, development, and maintenance of software applications and systems.

Software Development

This department focuses on ensuring customer satisfaction and retention through effective support and relationship management.

Customer Success Management

This department oversees the development and optimization of products throughout their lifecycle.

Product Management

This department develops and implements artificial intelligence solutions and technologies.

AI Engineering

This department focuses on developing and implementing machine learning algorithms and models to enhance software and data analysis capabilities.

Machine Learning

This department focuses on the design, development, and maintenance of data infrastructure and pipelines.

People (17)

Jobs (0)

Other teams

Customer Success Management

Product Management

AI Engineering

Machine Learning

Data Engineering