# How EchoAI uses Assembly AI

**18 million calls**: “the 18 million calls it processes a year”

As published on [assemblyai.com](https://www.assemblyai.com/customers/echoai-customer-story). Captured by usedby on 2026-10-08.

- Company: [EchoAI](https://www.usedby.ai/companies/echoai.md)
- Tool: [Assembly AI](https://www.usedby.ai/tools/assembly-ai.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)

## What the story says

Echo AI is a conversation intelligence platform that uses AssemblyAI speech-to-text and speech understanding models to transcribe customer calls. It builds summarization, intent classification, sentiment analysis, tagging, custom questions and agent performance analysis on top of those transcripts.

Summary written by usedby from the source page, in English. The figures are those of Assembly AI and EchoAI, not ours.

> Customers like Centerfield, for example, use Echo AI to find trends in conversational data that improve its sales and marketing campaigns in real time. This sort of immediate, accurate analysis across the 18 million calls it processes a year wouldn't be possible without the aid of advanced AI models.

> Generative AI, Large Language Models—they need text. And your insights are only as good as your accuracy. It was all those factors that led us towards AssemblyAI, and our customers immediately noticed the accuracy of our transcripts.
>
> Alex Kvamme, CO-FOUNDER AND CEO, ECHO AI

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 18 million calls is printed word for word on the page, near the name of EchoAI.
- Checked: the passage quoted above is copied word for word from the page, near the name of EchoAI.
- Checked: EchoAI uses Assembly AI. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/echo-ai-assembly-ai · How we check: https://www.usedby.ai/methodology