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Uberduck makes tools high-quality audiovisual content creation tools for product companies, brands, agencies, and musicians. We offer audio generation, image generation, and video generation functionality, including enterprise workflow APIs to power end-to-end video creation experiences. Vocal samples and full songs produced by our text-to-speech, text-to-singing, text-to-rapping, lyric video generation, and voice conversion technologies power: - AI remixes and original songs for musicians rangi

shared extracted concept terms: voice, audio; shared product terms: audio, high, quality, speech; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use c

shared extracted concept terms: model; shared product terms: foundational, speech, model, deliver; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) R

shared product terms: model, train, deliver, high; shared affiliation: Y Combinator

et al. is a mobile app that aggregates your newsletters, research papers, articles, and more, in one place. Think of it as an LLM-powered feed delivering you useful content in short insights. For example, if you’re building an AI voice agent, you’ll see the latest in speech-to-text models without having to actively search, go through a pile of research papers, or prompt an LLM. We extract key takeaways from long-form content - allowing you to read as little or as much as you like from the origin

shared extracted concept terms: voice, model; shared product terms: deliver, voice, speech, model; shared affiliation: Y Combinator

We are building the data layer for AI, starting with audio. We start with data collection, curating our own proprietary set of diverse conversational data covering a wide range of languages, dialects and accents. We then leverage human expert audio annotators and our own annotation platform to process audio data for Automatic Speech Recognition. With human level transcription and diarization, our data help push the audio model frontier. Today we have over millions of hours of conversational data

shared extracted concept terms: audio; shared product terms: audio, diverse, speech, model; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator

Today’s top Voice AI companies rely on AssemblyAI’s speech-to-text and speech understanding models to launch groundbreaking products fast and to scale with ease.

shared extracted concept terms: model, voice; shared product terms: voice, speech, model; same category: AI infrastructure; shared affiliation: Y Combinator