AssemblyAI offers Conformer-1 and Conformer-2, which are speech AI models assisting users in converting spoken data into actionable insights. Its suite includes speech-to-text capabilities for various voice data formats, such as calls, virtual meetings, and podcasts. Additionally, its models cover speaker detection, sentiment analysis, chapter detection, PII redaction, and more, ensuring versatile applications. As an "applied AI" enterprise, AssemblyAI focuses on researching, training, and deploying AI models. Its mission centers on equipping developers and product teams with integrable AI models for various applications and services.
Moreover, the platform provides features such as Custom Vocabulary, Speaker Labels, Profanity Filtering, Word Timestamps, Confidence Scores, Word Timings, Filler Words, Speech Threshold, Custom Spelling, and Custom Formatting, enhancing the transcription experience.
Its LeMUR framework leverages large language models to swiftly generate summaries, perform intricate data inquiries, and extract deeper insights from voice data.
Trained on extensive data surpassing 1.1 million hours and supporting transcription in 17+ languages, it claims to have an automatic speech recognition model with over 90% accuracy.
Key customers and partnerships
Assembly AI’s platform is utilized by diverse entities across various industries, ranging from startups to Fortune 500 companies like BBC, Typeform, NBCUniversal, and Dropbox.
Funding and financials
In December 2023, AssemblyAI raised USD 50 million in Series C funding led by Accel to expand its workforce, enhance customer acquisition efforts, and bolster its AI training capabilities.
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