Hedra
Character voice generation
Hedra needed realistic audio to match its video quality at scale. The API served 76,000 users in week one with zero downtime.
- 100,000+ video generations in first 48 hours
Self-hosted voice models limited quality. A managed API now powers human-like conversations for 500,000 users while cutting overhead.
An AI platform enabling over half a million users to create customizable virtual companions with unique backstories and evolving memories.
Self-hosting voice inference at scale incurred high operational costs and engineering overhead while limiting audio quality. The platform needed a...
“Kindroid chose Elevenlabs as our audio provider for their dedication to uncompromising quality voices to power Kindroid's virtual people. Elevenlabs made it fun and engaging for users to converse with their AIs over voice, and at the same time has saved us time and cost from self-hosting the voice inference at our scale. Kindroid users have listened to thousands of hours of voices over a few months, and we look forward to building more voice-first features within the app to bring great voice AI to end consumers with Elevenlabs.”
AI companion platform for personalized roleplay, mentoring, and language learning.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
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Hedra needed realistic audio to match its video quality at scale. The API served 76,000 users in week one with zero downtime.
Audio lag broke natural conversation. Low-latency synthesis now lets iconic characters reply instantly, replacing static scripts.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
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.