Self-hosting caused weekly outages and lag. Moving to Groq ended downtime and cut response times by 500ms, regardless of prompt length.
A voice productivity platform enabling users to dictate emails, Slack messages, and meeting summaries through real-time speech-to-text processing.
Self-hosting models on public GPUs resulted in weekly outages that forced the team to frequently notify users of server downtime. Latency increased...
“Uptime is the lifeblood of our product. If the service goes down, even for a short time, we risk losing trust, and losing users.”
Willow's Voice dictation is part of this use case:
AI-powered voice dictation software for Mac, Windows, and iOS.
LPU hardware and cloud platform for high-speed AI inference.
Related implementations across industries and use cases
Transcription latency delayed voice agents. By processing speech mid-utterance, agents trigger workflows before callers even finish.
Model latency bottlenecked AI test generation. Faster inference now runs thousands of concurrent jobs, building tests in real time.
5-10s latency broke call momentum. Migrating to Groq cut response time to 200ms, allowing the AI to guide reps instantly.
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
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.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Self-hosting caused weekly outages and lag. Moving to Groq ended downtime and cut response times by 500ms, regardless of prompt length.
A voice productivity platform enabling users to dictate emails, Slack messages, and meeting summaries through real-time speech-to-text processing.
Self-hosting models on public GPUs resulted in weekly outages that forced the team to frequently notify users of server downtime. Latency increased...
“Uptime is the lifeblood of our product. If the service goes down, even for a short time, we risk losing trust, and losing users.”
Willow's Voice dictation is part of this use case:
AI-powered voice dictation software for Mac, Windows, and iOS.
LPU hardware and cloud platform for high-speed AI inference.
Related implementations across industries and use cases
Transcription latency delayed voice agents. By processing speech mid-utterance, agents trigger workflows before callers even finish.
Model latency bottlenecked AI test generation. Faster inference now runs thousands of concurrent jobs, building tests in real time.
5-10s latency broke call momentum. Migrating to Groq cut response time to 200ms, allowing the AI to guide reps instantly.
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
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.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.