Companies in Speech and Voice Recognition
There are 1,872 companies in Speech and Voice Recognition which include Otter.ai, SoundHound, Pindrop Security, Fireflies, Babbel. 570 companies in Speech and Voice Recognition are funded, with 275 having secured Series A funding. Till date, the sector has seen the creation of 7 Unicorns. United States has the most number of companies in Speech and Voice Recognition (629), followed by India
(159), and then China (106).
2026 has seen the creation of 94 Speech and Voice Recognition companies. On average, the last 10 years have seen 93 new companies launched every year. Most number of Speech and Voice Recognition startups have been founded by alumni from Stanford University, Massachusetts Institute of Technology and University of Cambridge.
Here is a List of top companies in Speech and Voice Recognition
1. Otter.ai
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
- Founded Year: 2016
- Location: Los Altos (United States)
- Stage: Series B
- Total Funding till date: $70M
- Investors: Spectrum Equity, Horizons Ventures and 25 Others
- Latest Funding Round: Series B, Feb 25, 2021, $*****
- Tracxn Score: 79/100 What is this?
- Competitors Rank: 1 of 643 Competitors

2. SoundHound
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
- Founded Year: 2005
- Location: Santa Clara (United States)
- Stage: Public
- Total Funding till date: $191M
- Investors: Walden Venture Capital, Nomura and 25 Others
- Latest Funding Round: Post IPO, Feb 22, 2024, $*****
- Tracxn Score: 76/100 What is this?
- Competitors Rank: 1 of 157 Competitors
Provider of voice security and authentication solutions for virtual interactions. The company delivers tools to identify fraud and deepfakes in contact centers and meetings. It offers authentication and risk assessment using voice, device, and behavioral analysis. Solutions cater to various industries, securing communications across multiple channels.
Key facts about Pindrop Security
- Founded Year: 2011
- Location: Atlanta (United States)
- Stage: Series D
- Total Funding till date: $232M
- Investors: Webb Investment Network, Andreessen Horowitz and 40 Others
- Latest Funding Round: Venture Debt, Jul 17, 2024, $*****
- Tracxn Score: 76/100 What is this?
- Competitors Rank: 1 of 196 Competitors
4. Fireflies
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
- Founded Year: 2016
- Location: Pleasanton (United States)
- Stage: Series A
- Total Funding till date: $19M
- Investors: Canaan, Khosla Ventures and 16 Others
- Latest Funding Round: Series A, May 24, 2021, $*****
- Tracxn Score: 76/100 What is this?
- Competitors Rank: 2 of 313 Competitors
5. Babbel
Provider of SaaS-based language learning solutions. It offers courses on multiple languages that are divided into short lessons comprising grammar and vocabulary exercises. Its courses are developed by a team of native linguists and teachers. Its application comes with a voice recognition system that tells the user when words are not spoken correctly. It is compatible with web, iOS, and Android devices.
