Sanas, a company that uses AI to change call center workers' accents in real time, has gained significant attention in recent years. The demand for voice and speech recognition technologies is massive, with the sector expected to be worth over $28.1 billion by 2027. Sanas' software analyzes speech and outputs converted speech that matches a specified accent, preserving the original speaker's emotion and identity while minimizing reverb, echo, and noise. The company was founded in 2020 by Maxim Serebryakov, Shawn Zhang, and Andrés Soderi, who were inspired by a fellow student's experience with accent discrimination in a call center. Sanas has raised over $100 million in funding, including a recent $65 million round that values the company at over $500 million. The company plans to use the funding to build new 'speech-to-speech' algorithms, expand to new regions, and explore opportunities in industries such as healthcare and retail. Sanas also intends to grow its team and open a new office in the Philippines, a country with a large number of contact centers. While some researchers have raised concerns that Sanas' technology could homogenize workers' accents and reduce diversity, the company's co-founder and president, Sharath Keshava Narayana, argues that the technology is designed to enhance human connection, not replace it.