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Artificial Intelligence Companies in Speech and Voice Recognition Sector

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Artificial Intelligence companies in Speech and Voice Recognition

There are 570 Artificial Intelligence companies in Speech and Voice Recognition which include Otter.ai, SoundHound, Fireflies, Sarvam, Verbit. Out of these, 224 startups are funded, with 135 having secured Series A+ funding, and 6 achieving unicorn status.
2026 has seen the creation of 8 Artificial Intelligence companies in Speech and Voice Recognition. Over the past 10 years, an average of 30 new companies have been launched annually. Notably, several of these startups have been founded by alumni of Stanford University, Massachusetts Institute of Technology and Stanford Business School.

Here is the list of top Artificial Intelligence companies in Speech and Voice Recognition

Developer of an AI meeting agent providing transcription and summarization. The agent offers live transcripts, automated summaries, and action items from meetings. It integrates with various platforms to streamline workflows. The AI agent provides insights and helps structure ideas from conversations. It also automates follow-ups and syncs notes.

Key facts about Otter.ai

Provider of cloud and AI-based sound recognition solutions for multiple applications. It is a mobile application for consumers to search and discover music via voice control. The engine is based on its proprietary technologies speech-to-meaning and deep meaning understanding, it allow users to ask multiple questions and filter results. Features include natural language understanding, speech recognition, audio and music identification, multi-lingual text-to-speech, and more. It offers applications for iOS and Android users.

Key facts about SoundHound

Provider of a platform automating meeting transcription and summarization. It records, transcribes, and analyzes voice conversations across various video conferencing platforms. The platform generates real-time transcripts, identifies speakers, and provides AI-powered summaries with action items. It is integarted with CRMs, collaboration tools, and automation platforms so that the outputs can flow into existing workflows.

Key facts about Fireflies

Developer of a full-stack generative AI platform designed to build sovereign AI ecosystems for enterprises and governments. The platform provides sovereign models that understand cultural and linguistic diversity, enabling the creation of AI agents and applications tailored for specific needs. It offers infrastructure for serving models efficiently, including voice agents, speech-to-text, text-to-speech, and document digitisation capabilities. The technology supports enterprise workflows through secure, scalable, and compliant deployment options, allowing organizations to integrate advanced language processing into their products and services.

Key facts about Sarvam

Provider of cloud and AI-based natural language processing platform to develop speech recognition applications. It is leveraging a cloud-based speech recognition technology that is based on the latest advances in the field of deep learning neural networks. It has applications in court reporting and depositions, education and disability needs, distance learning and relearning, media production, and business analysis.

Key facts about Verbit

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