One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
A video technology platform evolved from a simple screen recorder into a comprehensive tool for transcribing, summarizing, and searching audio content from meetings and interviews.
Relying on a self-hosted Whisper model on AWS created severe bottlenecks, requiring users to wait up to 20 minutes to transcribe a single one-hour...
“It was expensive, slow, and needed a ton of babysitting. Our users often had to wait up to 20 minutes for a one-hour recording to finish transcribing.”
AI-powered screen recorder, video transcriber, and meeting summarization platform.
LPU hardware and cloud platform for high-speed AI inference.
Related implementations across industries and use cases
Summaries took minutes. Moving to Groq cut latency to milliseconds and search costs by 10x.
Self-hosting caused weekly outages and lag. Moving to Groq ended downtime and cut response times by 500ms, regardless of prompt length.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Self-hosting caused weekly outages and lag. Moving to Groq ended downtime and cut response times by 500ms, regardless of prompt length.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
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.
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
A video technology platform evolved from a simple screen recorder into a comprehensive tool for transcribing, summarizing, and searching audio content from meetings and interviews.
Relying on a self-hosted Whisper model on AWS created severe bottlenecks, requiring users to wait up to 20 minutes to transcribe a single one-hour...
“It was expensive, slow, and needed a ton of babysitting. Our users often had to wait up to 20 minutes for a one-hour recording to finish transcribing.”
AI-powered screen recorder, video transcriber, and meeting summarization platform.
LPU hardware and cloud platform for high-speed AI inference.
Related implementations across industries and use cases
Summaries took minutes. Moving to Groq cut latency to milliseconds and search costs by 10x.
Self-hosting caused weekly outages and lag. Moving to Groq ended downtime and cut response times by 500ms, regardless of prompt length.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
Self-hosting caused weekly outages and lag. Moving to Groq ended downtime and cut response times by 500ms, regardless of prompt length.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
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.