Adding transcription required six months and four engineers. Nylas launched in one day with a single developer, saving $300k.
A global developer API platform powering communications for millions of users faced a market where 67% of SaaS customers switch vendors for better integrated meeting features.
Launching a new product required specialized speech recognition expertise the team lacked. Building in-house would have cost six months and 4-6...
“We needed to launch a new product, Notetaker, that could record, transcribe, and analyze meetings at scale. The challenge was deciding whether to build transcription capabilities ourselves or buy from a partner.”
API platform for integrating email, calendar, and contact data into applications.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Legacy APIs lacked word-level timing. Precise speech models now map words to frames, letting users trim video by editing text.
PMs worked nights to draft requirements. Now, streaming AI writes docs live during calls—with zero audio stored.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.