The First AI to Understand Audio Natively

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Most audio applications first convert speech into text and then process it using AI. However, this method often loses important details like who is speaking, their tone, emotions, background sounds, and other non-verbal cues.

Omnio takes a different approach. Instead of relying on text, it directly processes audio, much like humans do. By analyzing speech in its original form, Omnio preserves essential information, such as speaker identity, emotional tone, and environmental context. This capability enables deep comprehension of audio, speech, and conversations, unlocking a new range of applications.

Omnio is the first multimodal AI model to comprehensively understand speech and human behavior through audio. It excels at identifying speakers, their roles, and the nuances of their interactions, including emotions, sentiment, and speaking styles. Beyond words, Omnio also recognizes sounds and non-verbal cues, offering unprecedented comprehension of the auditory environment.

Omnio is more than just a general AI model for audio and text. It supports a wide range of industry-specific tasks, enabling businesses and enterprises to use it reliably in their operations without requiring any fine-tuning or modifications.

Over the past four years, we have amassed extensive industry-specific knowledge and proprietary datasets from real-world operations. For example, in the healthcare industry, we have a vast collection of doctor dictations and doctor-patient conversations, which enabled us to build accurate and robust AI capabilities that align with the everyday needs of doctors and healthcare organizations.

As a result, Omnio is a uniquely powerful AI model that supports a range of industry-specific tasks with high accuracy and reliability and can be integrated into business workflows to drive real-world impact. To learn more about Omnio's capabilities, watch the demo videos in the section above.