Wednesday, April 17

Former Amazon Alexa Employee Launched Level AI with $15 Million in Funding

MOUNTAIN VIEW, Calif., 25TH Aug 2021– Level AI a company founded by former Amazon Alexa product leader Ashish Nagar launched to modernize customer service using conversational artificial intelligence to uniquely help organizations work with customers to solve any issues in real-time and elevate the customer’s overall experience.

The Level AI platform debuts amid a COVID-driven surge in customer-service call volumes and as enterprise contact centers shift to the cloud. With strong early demand for its cloud-based solution, Level AI is already working with more than 30 brands through its enterprise partners.

Level AI also announced the close of $13 million in Series A funding in conjunction with its launch, bringing its total funding to date to $15 million.

The round was led by the global investment firm Battery Ventures, with Battery general partner Neeraj Agrawal joining the Level AI board of directors. Seed investors ENIAC and Village Global as well as prominent angel investors also participated in the round, which will be used to increase the platform’s automation capabilities, invest in research and development to enhance the power of its conversational intelligence engine, and scale sales and marketing.

Before founding Level AI, Mr. Nagar was a product leader on Amazon’s Alexa team, working on an ambitious project called the Alexa Prize. The goal of the project is to enable humans to talk to Alexa for 20 minutes on any social topic.

While working on this project Mr. Nagar realized the number of unsolved challenges in language understanding by computers and the untapped potential of true conversation intelligence within the enterprise.

Google Home and Alexa are bringing this tech to households but for the millions of customer service enterprise workers who deal with voice and text conversations every day the latest technology was not available. This prompted Mr. Nagar to first build a voice assistant for frontline workers to enable screenless ambient computing and then launch a product for customer service teams.