BrightHire offloads video recording infrastructure to Recall.ai to free engineers and cut costs
BrightHire's self-built video recorders for Zoom, Google Meet, and Microsoft Teams required two full-time senior developers and a devops engineer to maintain, generated one or two incidents per week, and kept the engineering team constantly firefighting rather than building customer-facing features.
BrightHire's internally built recorders used web scraping to join meetings and were brittle; every incident was urgent, and the team spent significant engineering effort on maintenance rather than product development.
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Recall.ai substantially reduced weekly incidents, saved money on labor and compute, and freed the engineering team to deliver features across all platforms.
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Frequently asked questions
What did this team achieve with this AI workflow?
Recall.ai substantially reduced weekly incidents, saved money on labor and compute, and freed the engineering team to deliver features across all platforms.
What tools did this team use?
Recall.ai, Zoom, Google Meet, Microsoft Teams, GCP, Slack.
What results were reported?
weekly incidents before Recall.ai: at least one or two issues per week — maybe a few more on bad weeks; incidents after switching to Recall.ai: substantially fewer issues than we had before; Time to build each integration: 2-3 months; Engineers dedicated to maintaining integrations: 2 full-time senior developers and a devops engineer (source-reported, not independently verified).
What failed first in this deployment?
BrightHire's internally built recorders used web scraping to join meetings and were brittle; every incident was urgent, and the team spent significant engineering effort on maintenance rather than product development.
How is this recruiting AI workflow structured?
Recall.ai API records interview → AI generates notes and highlights → Hiring insights delivered.
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