PMs worked nights to draft requirements. Now, streaming AI writes docs live during calls—with zero audio stored.
A specialized AI platform for product managers aims to transform live meeting conversations into finished deliverables like requirements documents and roadmaps.
The founders needed a transcription foundation capable of handling unlimited concurrent streams while maintaining sustainable unit economics....
AI chief of staff for product teams to automate meeting notes and action items.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Poor transcription led to low-quality AI summaries. High-fidelity text now ensures accurate insights, lifting satisfaction by 12%.
Adding transcription required six months and four engineers. Nylas launched in one day with a single developer, saving $300k.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.