Contact centers have been stuck with bloated transcription pipelines—slow, expensive, and disconnected from how CX teams actually work. Prism fixes that. It delivers accurate, continuous transcription immediately after each call, brings in call detail records to anchor every interaction in context, and does it all at a fraction of the cost of legacy cloud providers.

“We built Prism because every AI product we wanted to build needed better inputs,” said Chris Crosby, Founder of EndeavorCX. “Call audio was everywhere. Usable intelligence wasn’t. So we started at the root.”

What Prism Solves:

• Voice data with no structure, making AI outputs brittle

• High per-minute transcription costs that scale poorly

• Lag between call end and actionable insight

• Fragmented CCaaS environments without native integration

• Missed context due to lack of metadata and call detail alignment

What Prism Delivers:

• Immediate, high-fidelity post-call transcripts

• Embedded call detail for deeper context and analytics

• Seamless integration with Zoom, Genesys, Five9, and more

• Open APIs for full ecosystem control

• Pricing up to 90% lower than incumbent cloud engines

Prism is already running inside real-world environments and now serves as the signal layer across EndeavorCX’s platform—powering summaries, QA automation, knowledge surfacing, and intelligence workflows across the entire contact center.

About EndeavorCX
EndeavorCX builds the infrastructure for intelligence-driven CX. Based in Chicago, the company provides modular tools that turn operations into learning systems—faster, smarter, and always improving.