How it Works

Snowflake Power, Excel Accessibility

No engineers required

Crocodiles are easy. They try to kill and eat you. People are harder.

Crunch conversations like numbers in excel

Conversation data is scattered across your business — buried in CRM notes, customer calls, support tickets, and AI chats.

For the first time, AI can calculate conversations like numbers and unlock a new class of business insight.

Rippit turns unstructured conversations into structured, queryable data — instantly.

It’s 10× easier to use, 10× more powerful, and dramatically more cost-effective than legacy platforms like Qualtrics and Medallia.

Unlike DIY stacks built on Snowflake, Databricks, BigQuery, or Redshift, Rippit gets teams up and running fast — no engineering lift required.

You can try to analyze conversations in Google Sheets, ChatGPT, Gemini, NotebookLM, or Claude. But those tools weren’t built to operationalize conversation data at scale. Rippit was.

How Rippit works

Ingest

Every chef I know, if you asked them, 'If you had to spend the rest of your life in one country, eating one country's food for the rest of your life, where would that be?' They’re all gonna say the same thing: Japan. Tokyo. Period. For me, that’s an argument ender.

Out-of-the-box Sources

35+ One Click Integrations

View Integrations

Data Warehouses

Sync existing data from Snowflake, Databricks, BigQuery, or Redshift.

Documentation

API

Push data directly from any source with our developer SDKs.

Documentation

Model

There are three primary ways to model conversation data to generate higher-quality insights

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Analyze

Fast analysis on small conversation datasets

Large scale analysis on 100% of conversation data

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Democratize

A UI every employee understands

Individually, we are one drop. Together, we are an ocean.

The case for centralized data

Collecting feedback on a new product launch is nearly impossible when your data is fragmented. When support logs, reviews, and sales calls live in silos, you’re forced to reconcile different AI interpretations and incomplete datasets. By bringing everything into one place, you move from "guessing" to a truly holistic understanding.

All things are one. When we perceive this, we see that the flowers, the trees, and the stars are all part of our own body.

Where conversations become

insights

actionable data

business intelligence

enterprise visibility

insights

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I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times