Evie

About Evie

Evie.ai, founded in 2014, operates as a specialized artificial intelligence-powered assistant designed to streamline and automate complex scheduling tasks for enterprises. The Singapore-based company was established by Praveen Velu and Jin Hian Lee, two former Yahoo employees. Their journey began after experiencing firsthand the immense challenge of coordinating meetings across multiple time zones and departments. Lee, a Stanford-trained engineer, and Velu, with a background in business development and digital marketing, combined their expertise to create a solution for this common operational pain point.

The core of the business is Evie, an AI assistant that handles the entire meeting and interview scheduling process from end to end. The service operates primarily through email, where users can include Evie in a conversation thread, and it will then communicate with all parties in natural language to find a suitable time and venue. The platform is designed to handle complex scenarios, including coordinating across different time zones, booking meeting rooms, sending reminders, and following up with unresponsive participants. Initially launched in 2016 as a general scheduling assistant, Evie.ai found a significant niche within the human resources sector, where it is used to automate the high volume of interview scheduling. This specialization has attracted major corporate clients such as Siemens, Unilever, and Airbus.

Evie.ai's business model is subscription-based, offering various pricing tiers for different levels of functionality, including a plan specifically for businesses that require features like multiple office location support and integrations with video conferencing tools like Zoom and Microsoft Teams. The platform integrates with existing enterprise systems such as Microsoft Office 365 and Google Suite, allowing for rapid deployment without extensive technical integration. By 2020, the company's service was being utilized by over 400 companies in approximately 40 countries, a testament to its effectiveness in increasing recruiter productivity.