Side-by-side comparison of AI visibility scores, market position, and capabilities
Real-time accent translation AI that neutralizes accents during live calls to improve communication between agents and customers.
Sanas is a Palo Alto-based AI company that provides real-time accent translation technology for contact center agents, transforming spoken audio to reduce accent-based communication friction during live customer calls. Sanas's AI processes audio at the edge in real time, modifying the acoustic characteristics of the agent's speech to produce a more neutral accent without changing the agent's words, tone, or meaning, and with no perceptible latency. The technology helps contact center operators reduce call handle time and improve customer satisfaction metrics that are negatively impacted when accent differences lead to miscommunications and repetition. Sanas is designed to run on the agent's computer without routing calls through external servers, addressing data privacy concerns about transmitting customer call audio to cloud services. Founded in 2020 by Stanford AI researchers, Sanas raised $32M from investors including General Catalyst, Human Capital, and Quiet Capital. The company targets BPO operators and enterprise contact centers running offshore operations where accent differences affect customer experience metrics.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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