# Csatai Gyorgy - **Website:** - **Primary alias:** `csat.ai` ## Description CSAT.AI is a customer experience analytics platform designed to help support teams understand and improve interactions at scale. It analyzes customer conversations to provide automated quality assurance scores, customer experience risk alerts, voice-of-the-customer insights, and practical coaching. The platform combines AI-driven evaluation with manual QA and customer surveys, helping organizations compare conversation-based findings with direct feedback. Its core offerings include automated QA for every conversation, detection of customer pain points and friction, and brief, targeted coaching for agents. Teams can customize QA rubrics and customer signals to reflect their priorities and brand voice. CSAT.AI also provides dashboards and insights intended to help leaders identify emerging issues, track trends, and understand opportunities to improve satisfaction, retention, and efficiency. The service supports setup through CRM connections, API keys, and the addition of websites, knowledge bases, and brand guidelines. CSAT.AI serves organizations ranging from teams of 10 agents to larger enterprises, and offers a 21-day trial, product demonstrations, resources, and support. ## Industries - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ ## Links - [instagram](https://instagram.com/csat.ai) - [twitter](https://twitter.com/csatai) ## Logos & icons - logo _(primary)_ — SVG, PNG — [download](https://cdn.brandfetch.io/id41-8SHav/theme/dark/logo.svg?c=1bxid64Mup7aczewSAYMX&t=1790356071433) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/id41-8SHav/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1790356071551) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Minsk | #4e2c78 | accent | | Mine Shaft | #333333 | dark | | White | #ffffff | light | ## Fonts - Helvetica Neue — asset _(custom)_ - Inter — asset _(google)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._