Earmark achieves 83% cost reduction and unlimited scalability with AssemblyAI
Earmark needed a speech-to-text solution capable of unlimited concurrent streaming with sustainable economics and enterprise-grade privacy, as real-time transcription was the foundation of its entire PM platform.
Earmark achieved an 83% reduction in streaming costs, the ability to handle 100+ concurrent streams without performance degradation, and a 4-day implementation, enabling sustainable unit economics and worry-free scaling.
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Frequently asked questions
What did this team achieve with this AI workflow?
Earmark achieved an 83% reduction in streaming costs, the ability to handle 100+ concurrent streams without performance degradation, and a 4-day implementation, enabling sustainable unit economics and worry-free scaling.
What tools did this team use?
AssemblyAI.
What results were reported?
Streaming cost reduction: 83%; Streaming cost per hour: $0.15 per hour; Monthly cost savings: saving thousands of dollars monthly; Concurrent streams supported: 100+ (source-reported, not independently verified).
How is this back office ops AI workflow structured?
Live PM meeting begins → Real-time speech transcription → AI agents structure content → Deliverables ready at meeting end.