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Softbrik
Increase Productivity with AI Voice & Context Search

What is Softbrik?

Softbrik provides an advanced AI/ML platform designed to enhance productivity within enterprises by leveraging voice and context search capabilities. It specializes in capturing and analyzing customer interactions across multiple channels, offering significant expertise in regulated sectors such as Healthcare, Public Services, Banking, Finance, and Insurance (BFSI). The platform supports over 40 languages, facilitating seamless communication and feedback collection globally through features like real-time translation.

Utilizing voice-enabled surveys and messages, Softbrik enables businesses to gather richer, more detailed customer feedback, reportedly achieving higher response rates compared to traditional methods. The integrated AI automatically performs sentiment analysis, identifies patterns, and generates insightful reports, helping teams understand customer needs deeply. This allows organizations to respond effectively to customer cohorts, improve service quality, manage support requests efficiently, and make data-driven decisions for product launches and service improvements.

Features

  • Voice Enabled Surveys: Create surveys that capture in-depth customer responses via voice.
  • AI Powered Sentiment Analytics: Automatically analyzes qualitative and quantitative data for insights, patterns, and alerts.
  • AI Feedback Grouping: Groups incoming feedback for easier team response to customer cohorts.
  • Omni Channel Support: Captures feedback across various customer touchpoints.
  • Multi-Language Support: Operates in 40 languages with real-time translation capabilities.
  • AI-Automated Reports: Generates reports based on data analysis.
  • Integrations: Connects with popular CRM and data analytics tools (e.g., Hubspot, Zendesk, Slack).

Use Cases

  • Capturing Voice NPS feedback.
  • Managing voice-based customer support.
  • Gathering detailed feedback for new product launches.
  • Collecting service feedback from customers.
  • Qualifying leads through voice interactions.
  • Performing in-depth customer analysis.
  • Increasing engagement during events.
  • Boosting internal team engagement.
  • Facilitating patient engagement in healthcare.
  • Streamlining communication for clinic staff and patients.

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