Top 42 Speech Recognition startups

Oct 24, 2024 | By Siddhant Patel

These companies develop technologies that enables the recognition and translation of spoken language into text by computers.
1
Country: India | Funding: $620.9M
Global Conversational AI technology company that enables businesses to deliver transformational customer service across touchpoints.
2
Country: Israel | Funding: $569M
Verbit is using smart AI technology to disrupt transcription and captioning with automation and speed.
3
Country: USA | Funding: $451M
SoundHound develops voice-enabled AI and conversational intelligence technologies. It provides Speech-to-Meaning engine and Deep Meaning Understanding technology that can be built in other services and devices. It also develops app for music recognition and voice assistant for search.
4
Country: China | Funding: $264.9M
Mobvoi is an AI company that developed Chinese voice recognition, natural language processing, and vertical search technology in-house.
5
Country: USA | Funding: $201.5M
Invoca provides complete call intelligence for business. Its machine learning algorithms analyze live phone conversations to understand caller intent and outcomes. Marketers can utilize these insights to make smarter decisions on everything from PPC bidding strategy to digital retargeting audiences.
6
Country: USA | Funding: $158.1M
AssemblyAI is an AI company building a platform of APIs to transcribe and understand audio data.
7
Country: China | Funding: $128.9M
Through cutting-edge AI technology & innovative product design, Liulishuo helps users learn English more efficiently and communicate with the world.
8
Country: USA | Funding: $119.2M
Notable uses AI to automate and digitize every physician-patient interaction. It automtes recording of doctor’s visits and updating of electronic health records. The company has developed a technology that uses natural language processing and voice recognition to automatically record doctor-patient interactions and structure the data for inclusion in a patient’s medical records.
9
Country: UK | Funding: $116M
Poly AI develops a machine learning platform for conversational artificial intelligence.
10
Country: USA | Funding: $113M
Replicant is a contact center automation software that helps companies automate their most common customer service requests. Replicant uses AI to provide agents with call summaries and measures trends like overall customer satisfaction, average handle time, competitor mentions, defective products and upsell opportunities.
11
Country: USA | Funding: $100M
Descript is building a platform for creative tools, making audio and video creation as fast, accessible, and collaborative as Google Docs.
12
Country: USA | Funding: $85.9M
Deepgram saves businesses time and money by building tailored speech recognition models that increase revenue and maximize productivity.
13
Country: UK | Funding: $70.2M
Speechmatics provides automatic speech recognition technologies that can be used anywhere, by anyone, in any language.
14
Country: USA | Funding: $67.7M
Hume AI develops speech, expression understanding for healthcare
15
Country: USA | Funding: $63M
Otter.ai offers an AI transcription service to capture, search, and share meetings, lectures, and live events.
16
Country: USA | Funding: $61.2M
DeepScribe is an AI-driven platform for medical record-taking.
17
Country: USA | Funding: $52.2M
Sanas is a software development company that assists multilingual speakers to deliver clear communication through accent correction.
18
Country: USA | Funding: $41.3M
Sonde Health has developed a technology that uses voice biomarkers to identify a number of diseases such as respiratory disorders and mental illness.
19
Country: Israel | Funding: $35M
Hyro uses AI to facilitate text and voice conversations across the web, call centers and apps between healthcare organizations and their clients.
20
Country: USA | Funding: $30.5M
Rev’s speech-to-text services are powered by artificial intelligence and perfected by a community of skilled freelancers.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)org