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
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
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
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.