Top 19 Speech Recognition startups in USA

Dec 13, 2025
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1
SoundHound
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.
2
Invoca
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.
3
AssemblyAI
Funding: $158.1M
AssemblyAI is an AI company building a platform of APIs to transcribe and understand audio data.
4
Notable
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.
5
Sanas
Funding: $117.7M
Sanas is a software development company that assists multilingual speakers to deliver clear communication through accent correction.
6
Replicant
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.
7
Descript
Funding: $100M
Descript is building a platform for creative tools, making audio and video creation as fast, accessible, and collaborative as Google Docs.
8
Deepgram
Funding: $85.9M
Deepgram saves businesses time and money by building tailored speech recognition models that increase revenue and maximize productivity.
9
Hume AI
Funding: $72.8M
Hume AI develops speech, expression understanding for healthcare
10
Otter.ai
Funding: $73M
Otter.ai offers an AI transcription service to capture, search, and share meetings, lectures, and live events.
11
DeepScribe
Funding: $61.2M
DeepScribe is an AI-driven platform for medical record-taking.
12
Sonde Health
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.
13
Rev
Funding: $30.5M
Rev’s speech-to-text services are powered by artificial intelligence and perfected by a community of skilled freelancers.
14
Canary Speech
Funding: $22.3M
Canary Speech is a technology company that uses AI-driven vocal digital biomarkers for conversational speech virtual health monitoring.
15
Fireflies.ai
Funding: $19M
Fireflies.ai offers an AI Meeting assistant that records, transcribes, and makes searchable meeting notes.
16
Friend
Funding: $7.9M
Friend develops AI necklace companion that is intended to boost users’ self-esteem through positive conversations. It also collects your memories, which (according to the developers) are encrypted in the circuit board and don't go to the cloud. The battery lasts for one day. The startup bets on agressive marketing - it spent $1.8M on the domain name Friend.com (that now hosts the chatbot) and $1M on subway ads. The device is criticized for its constant surveillance and declaring.
17
Blue Canoe Learning
Funding: $4.4M
Blue Canoe is an AI solution increasing employee productivity by improving the pronunciation of non-native English speaking employees.
18
Reduct.Video
Funding: $4M
Reduct.Video makes editing a video as simple as editing text: AI transcription connects every single word to the corresponding moment in the video.
19
Tetra
Funding: $1.5M
Tetra lets you have a clean and complete conversation with the person at the other end because it takes care of all the niche details that come up in the discussions. It uses Artificial Intelligence to generate a detailed script of dialogues using its speech recognition technology.
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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)pro