Gravite is an AI-driven insights platform that automatically collects and analyzes customer conversations from various tools, such as call transcripts and support tickets, to identify key trends and pain points. This enables businesses to make data-driven decisions that enhance customer experience and operational efficiency.
Funding
$430K raised to dateRaised 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.
Founders
Product
Problem
Many companies struggle to efficiently collect and analyze customer feedback from disparate sources like call transcripts, support tickets, and online reviews. This makes it difficult to identify key trends, pain points, and areas for improvement in a timely manner. Traditional methods, such as surveys, often suffer from low response rates and biased data, hindering businesses from gaining a comprehensive understanding of the customer experience.
Solution
Gravite is an AI-powered insights platform that automates the collection, segmentation, and analysis of customer conversations from various sources. The platform centralizes data from call transcripts, support tickets, store reviews, and other channels into a unified platform. Using AI, Gravite identifies key trends, customer sentiments, and pain points, providing businesses with actionable insights to improve customer satisfaction and operational efficiency. The "Explore" feature allows users to directly query their data, uncovering hidden insights tailored to their specific needs.
Target Audience
Gravite primarily targets product and operations teams in medium-sized enterprises seeking to streamline customer feedback analysis, identify operational inefficiencies, and make data-driven decisions.
Features
- Automated collection of customer interactions from multiple channels (calls, emails, chats, social media)
- AI-powered sentiment analysis to measure customer sentiment at each stage of their journey
- Automatic feedback classification based on user-defined categories and sub-categories
- AI-driven suggestions to deepen feedback analysis and uncover hidden issues
- Unsupervised analysis to detect unexpected trends and pain points
- User-defined topic tracking to monitor specific areas of interest
- Automatic call transcription with speech-to-text technology
- Advanced data segmentation by profile, category, and timeframe
- Natural language data exploration through a chat interface
- Multilingual feedback analysis
- Public API for seamless integration with existing tools (CRMs, support systems, etc.)