Deep Syncs

Eclipse AI

Eclipse AI is a platform that transforms customer voices from different channels and locations into valuable insights. Analyze customer feedback, social media mentions, and more to understand your customers and improve your business.


Eclipse AI offers a variety of pricing plans to accommodate different business needs. Contact their sales team for a personalized quote.


Eclipse AI empowers businesses to unlock the power of customer voices. This innovative platform transforms unstructured data from multiple channels, including customer feedback, social media, and online reviews, into actionable insights. By leveraging advanced AI and machine learning techniques, Eclipse AI helps businesses understand customer sentiment, identify key trends, and make data-driven decisions to improve customer experience, drive sales, and optimize marketing campaigns.


  • Multi-channel data collection: Collect and analyze customer feedback from various sources, including social media, email, surveys, and customer support tickets.
  • AI-powered sentiment analysis: Uncover the emotional tone of customer feedback and understand what customers are saying about your brand.
  • Topic extraction and identification: Identify key topics and themes discussed by customers to gain insights into their needs and concerns.
  • Actionable insights and reports: Generate insightful reports and dashboards that help you track progress, identify trends, and make data-driven decisions.
  • Real-time monitoring: Monitor customer sentiment and identify potential issues in real-time to take immediate action.


  • Improved customer experience: Gain deeper insights into customer needs and expectations to deliver personalized experiences and improve overall satisfaction.
  • Increased sales and revenue: Identify opportunities to upsell and cross-sell to customers, and develop targeted marketing campaigns that drive sales.
  • Enhanced brand reputation: Monitor customer sentiment and address any negative feedback to protect your brand reputation.
  • Data-driven decision making: Make informed decisions based on real-time customer data to optimize your business strategy.
  • Reduced costs: Identify and resolve customer issues quickly and efficiently to reduce customer support costs.



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