Rippit
AI conversation data platform for quality management, coaching, and analytics; formerly MaestroQA.
Company profile
Overview
AI conversation data platform for quality management, coaching, analytics, and automated conversation analysis.
Rippit is the rebranded company formerly known as MaestroQA. Public evidence indicates it sells an AI conversation data platform focused on quality management, coaching, analytics, and conversation analysis across support and related customer interactions. The company also publishes a trust center with security and compliance claims, public pricing, and SSO/security documentation. Evidence: E1, E2, E3, E4.
At a glance
Key facts
- HQ location
- New York City, New York, United States
- Founded
- 2013
- Employee range
- 51-200LinkedIn / third-party profiles indicate roughly 51-200 employees; PitchBook search snippet shows 79 total employees. Public evidence is inconsistent.
- Company type
- Private
- Pricing model
- Custom QuoteUsage BasedPlatform fee based on number of conversations analyzed; pricing personalized to needs. Website also states AI provider costs are passed through at cost with zero markup.
Business context
Financials
- Revenue estimate
- Unknown
- Valuation estimate
- Unknown
- Investments
- Public evidence confirms the company existed as MaestroQA from 2013 and later rebranded to Rippit. Third-party search snippets reference a prior fundraising history, but no reliable current public funding summary was directly confirmed from primary sources in this pass.
Market context
Relationships
- Target customers
- Support, customer experience, sales, and other teams analyzing high-volume conversation data; enterprise and mid-market customers; regulated industries are explicitly referenced.
- Key competitors
- Zendesk QA / analytics tools, contact-center QA platforms, conversation intelligence platforms, and AI conversation analytics vendors; specific public evidence for named competitors is limited.
- Known customers
- Checkr, Brex, Resident, SpotOn, Klaviyo (named on the website as customer stories).
Source context
Classification (raw research text)
- Core focus
- Conversation intelligence, quality management, coaching, analytics, AI classifiers, and conversation data workflows.
- Core industry
- Customer support / customer experience / conversation analytics.
- Core category
- AI conversation data platform.
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Market taxonomy