QRev AI

Designed to revolutionize revenue generation.

Setting up

Learn how to setup QRev AI locally in your machine within minutes.

Setup using Python

Install QRev using simple pip commands

Deploy using Docker

Setup with a single command

Why Open Source?

Building in public is one of our primary goal and we truly believe in the power of community to make QRev bigger and better.

Apart from that we want to build Trust; we want to provide users a sense of ownership and

Security

In general, Open Source softwares are more secure.

Complete Transparency

We believe that the ultimate freedom is when you have nothing to hide. So putting everything out there lets you focus on the actual problems you are solving and not competitors.

Trust

Building Trust of Customers is crucial, and relatively easier with a Startup rather than a Large Cooperation.

Going all in

We are taking on a big challenge and we want to grow at great velocity and innovate faster along with the community.

Having a Global Team

Building with the community and in public is more joyful: We think it’s a very fun process. It just becomes more enjoyable because multiple amazingly smart people can contribute from around the world; shit is breaking sometimes, but it’s like having a big global team from Day 1, What’s not to like?

Another personal reason of going Open Source is:

In January 2024, Sudhama Bhatia, CEO of QRev, was in a intense meditation program known as Vipassana, half way through the program, he had a vision of Open Sourcing QRev, which made perfect sense and was right in many ways.

Roadmap

There are many cool features which are working upon which includes:

QRev Agents

1. Research Agent
2. Reporting Agent

QRev Apps

1. Call Recording and insights
2. Q-CX Bot: for Customer Success
3. Q-Caller: to auto dial a number

QRev Core Infra

1. Custom Objects
2. Reporting Framework
3. RBAC Policies

Integrations

1. Zoom
2. Salesforce
3. HubSpot