Parabolic develops an AI-based assistant for customer support that integrates with existing ticketing systems to auto-index responses and detect user intent. The platform reduces repetitive inquiries by generating tailored responses from historical support data, enabling agents to focus on complex issues while improving efficiency.
Funding
$500K 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
Customer support teams often spend excessive time answering repetitive questions, diverting resources from complex issues and hindering overall efficiency. Agents struggle to quickly access and tailor responses from vast amounts of historical support data, leading to inconsistent service and delayed resolution times.
Solution
Parabolic provides an AI-powered assistant that integrates with existing ticketing systems to automate and streamline customer support workflows. The platform auto-indexes past responses and leverages natural language processing to detect user intent, enabling it to suggest relevant answers and draft tailored responses. By learning from agent feedback and continuously improving its response accuracy, Parabolic reduces the volume of repetitive inquiries, allowing support teams to focus on complex issues and improve customer satisfaction. The system also supports upselling by suggesting relevant products or services based on the customer's needs.
Target Audience
Parabolic is designed for customer support teams and help desks across various industries that seek to improve efficiency, reduce response times, and enhance customer satisfaction.
Features
- Integration with existing ticketing systems such as Intercom, Zendesk, and Helpscout
- AI-powered intent detection to understand the user's underlying question, independent of specific keywords
- Auto-indexing of past support conversations and knowledge base articles to create a comprehensive response library
- Automated drafting of generalizable and customer-specific responses, drawing from indexed data and customer information
- Human-in-the-loop verification, allowing agents to review and refine AI-generated responses before sending
- Continuous learning and improvement based on agent feedback, enhancing response accuracy over time
- Upsell mode that suggests relevant products or services based on the customer's pain points
- Automatic categorization and tagging of incoming questions for efficient triage and routing