Sharad Khandelwal
Founder
SentiSum
SentiSum provides an AI-native Voice of Customer (VoC) platform designed to unify customer signals from various sources like tickets, surveys, and calls. The platform uses its Kyo AI Engine to instantly detect issues, explain churn drivers, and deliver actionable insights to support, product, and marketing teams. This system focuses on proactive retention by alerting teams to risks and suggesting fixes before customer churn escalates.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Raised to date
$850KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Brands often struggle to keep pace with rapidly evolving customer expectations due to delayed insights from traditional feedback mechanisms. This lag leads to missed opportunities, increased costs, customer churn, and damage to brand reputation. Siloed feedback across multiple channels further complicates the process of understanding and improving the customer journey.
Solution
SentiSum provides an AI-powered customer experience analytics platform that delivers real-time insights from customer feedback across various channels. The platform consolidates feedback into a unified view, enabling teams to proactively identify and address issues. By scanning and analyzing customer conversations in real-time, SentiSum alerts users to unexpected issues, such as product glitches or service disruptions, before they escalate. This allows brands to proactively create better customer experiences and build stronger brand loyalty.
Target Audience
SentiSum primarily targets CX leaders and customer support teams in startups and enterprises seeking to improve customer experience and reduce churn through real-time feedback analysis.
Features
- Real-time scanning of customer conversations to uncover immediate issues
- AI-powered alerts for unexpected issues like product glitches or service disruptions
- Unified insights by consolidating feedback from various channels, including brand reviews, social media, surveys, and support tickets
- Integration with Zendesk, Freshdesk, Intercom, Dixa, Gorgias, and Survey Monkey
- AI-powered speech analytics for understanding customer sentiment in voice interactions
- Automated tagging and categorization of customer service conversations using NLP
- Customizable AI models that can be deployed in two weeks
- Accessible dashboard for all teams to tap into customer insights