platoseed
Data for audio AI
David AI provides high-quality audio datasets for speech, translation, synthesis, and conversational AI. Their process focuses on hypothesizing capabilities, designing data shapes, targeted data collection, and scaling datasets to thousands of hours, with datasets used by Fortune 100 companies and research labs.
David AI develops and releases curated audio datasets for audio AI applications. Their workflow includes hypothesizing a desired capability, designing data structures to teach the capability, launching targeted data collection, evaluating quality to create a high-signal subset, productionizing to thousands of hours, and releasing the dataset with continuous improvement. Datasets cover speech-to-speech, multilingual, and voice interaction systems, including Converse (English conversations), Atlas (multilingual with dialect/accent metadata), Chorus (multi-speaker conversations), and Dialog (expert conversations), with options to request samples, purchase access via a data license, and receive data within 1β2 days.
Who itβs for: Organizations building or researching speech and conversational AI requiring high-quality audio datasets (enterprises, research labs, and Fortune 100 companies).
Hiring for research, engineering, and operations roles; multiple funding rounds including Series A and Series B with notable investors.
Co-founder and CEO at David AI. Previously, Chief of Staff at Scale AI and Consultant at McKinsey & Company.
Co-founder and CTO at David AI. Previously, at Scale AI - led engineering for Scaleβs Public Sector GenAI Platform, Donovan. Before that - SWE at Microsoft.
Formerly βInvictusβ Β· why startups rename β

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