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Sanas taps AI to change call center workers’ accents in real time
Sanas, a startup founded in 2020, uses AI to modify call center workers' accents in real-time to reduce bias and improve communication. With a growing customer base and recent funding of $65 million, Sanas aims to enhance human connection without replacing it. The technology preserves speaker identity while transforming speech, attracting interest in healthcare and other sectors despite concerns over accent homogenization.
Key points
- Sanas was founded in 2020 by Max Serebryakov, Shawn Zhang, and Andrés Soderi in response to accent discrimination faced by a friend during his call center job.
- The company uses AI to analyze and adjust speech accents instantly while maintaining the speaker's emotional tone and identity.
- Sanas claims their technology is unique due to patented AI models trained on over 50 million speech samples.
- Sanas has raised over $100 million, with its latest funding round generating $65 million, valuing the company at over $500 million.
- Sanas has around 50 customers across various industries, generating an annual recurring revenue of $21 million, up from $18 million last year.
- The acquisition of InTone strengthens Sanas' IP portfolio and expands its customer reach.
Why it matters
- The AI voice and speech recognition market is projected to be worth over $28.1 billion by 2027, reflecting significant investment in communication technologies.
- Sanas' focus on reducing bias in call centers aligns with ongoing discussions around diversity and inclusion in the workplace.
- The controversy surrounding accent modification reflects broader trends in tech prioritizing inclusivity and preserving identity, resonating with 2025 IT trends.
Sanas is leveraging AI to address accent bias in call centers, fostering a new paradigm of human-centered technology in customer service. With substantial funding and a clear mission, it aims to redefine voice communication while navigating potential ethical challenges.