Sanas

What is Sanas

Founded in 2020 in Silicon Valley, Sanas is the world's first real-time speech understanding platform that uses AI to bridge communication gaps across different accents and backgrounds. The company was created after its founders witnessed accent bias against friends, inspiring them to develop technology that ensures every voice can be heard and understood. Led by CEO Maxim Serebryakov, CTO Shawn Zhang, and COO Sharath Keshava Narayana, Sanas has secured $32 million in Series A funding and partnered with major enterprises and contact centers worldwide.

Key Features of Sanas

Sanas is a real-time speech understanding platform that uses AI technology to translate accents while preserving natural voice qualities. The platform offers accent translation and noise cancellation capabilities, operating with low latency (~200ms) and local deployment for security. It integrates seamlessly with existing systems, provides data-driven insights through a dashboard, and helps improve communication clarity without compromising the speaker's natural voice characteristics.

Real-time Accent Translation: Uses speech-to-speech AI processing to translate accents in real-time while maintaining the speaker's natural tone and emphasis

Noise Cancellation: Intelligent technology that filters out background noise while focusing on the speaker's voice for crystal-clear communication

Secure Local Deployment: Operates locally without cloud dependency, ensuring data privacy and security while meeting SOC and ISO standards

Analytics Dashboard: Provides detailed insights into agent performance and key metrics to optimize operations and track improvements

Use Cases of Sanas

Contact Centers: Improves customer service quality by enhancing communication between international agents and customers, leading to better CSAT scores and reduced AHT

Global Business Communications: Facilitates clearer communication between multinational teams and stakeholders across different regions and accents

Hospitality Industry: Enables hotel staff and customer service representatives to communicate more effectively with guests from diverse backgrounds