Founder, CEO
We're excited to share that we’ve raised $50M in Series C funding led by Accel, our partners that also led our Series A, with participation from Keith Block and Smith Point Capital, Insight Partners, Daniel Gross and Nat Friedman, and Y Combinator.
What is Word Error Rate and is it a useful measurement of accuracy for speech recognition systems? In this article, we examine the answer to these questions, as well as explore other alternatives to Word Error Rate.
Hiring a team of great machine learning scientists and data analysts simply isn’t enough (as first seen in Fast Company).
Today, we’re excited to share that we’ve raised another $30M in our Series B round led by global software investor Insight Partners.
We’re excited to share that we’ve raised a $28M Series A led by Accel, with participation from a great group of investors including Y Combinator, John and Patrick Collison, Nat Friedman, and Daniel Gross.
Today, we're excited to officially announce our newest feature at AssemblyAI - Auto Chapters. The Auto Chapters feature provides a "summary over time" for audio content transcribed with AssemblyAI's API.
Today, we’re happy to release our most accurate Speech Recognition model to date - version 8 (v8). This updated model delivers up to 18.72% better accuracy across many types of audio.
Training large deep learning models is expensive and slow. Yet, startups are all about iterating fast. In this post, we share the lessons we've learned over the past few years.
We are excited to make available our new List Endpoint! This gives developers the ability to query for, and paginate through, all of their historical transcriptions.
Automatically transcribe audio and video files, and surface sensitive content, such "Hate Speech" or "NSFW" content, found within the audio.