Parabolic

Discover Parabolic's AI Assistant for customer support. Seamlessly integrated, highly accurate, and constantly improving. Never answer the same question twice.

Customer Support Updated 1 hour ago

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Parabolic's Top Features

Seamless integration with existing ticketing software

Human-in-the-loop verification

Accurate responses to rarely asked questions

Multistep conversation handling

Upsell mode

Auto-categorization of incoming questions

Auto-indexing of past responses

Detection of user intent beyond keywords

Support for generalizable and customer-specific responses

Integration with customer-specific data sources

Frequently asked questions about Parabolic

You can expect 98%+ accuracy on questions that have ever been asked in any form from any data source, and 40%+ accuracy on non-'macro-able' questions that require understanding user intent and synthesizing information from multiple sources.

Unlike other models that rely heavily on keyword matching, Parabolic uses advanced AI to understand user queries with minimal setup, resulting in unmatched accuracy and efficiency.

Contact us at shub@growparabolic.com to schedule a free demo. Provide your knowledge base of FAQs and/or historical customer support tickets for better customization.

Yes, we sign NDAs for every client, pre-process data using a PII anonymizer, and are in the process of obtaining SOC2 and GDPR certification.

Parabolic integrates with Zendesk, Intercom, Discord, Slack, Jira, and other customer support tools. We’re constantly adding new integrations based on client needs.

Pricing is determined based on factors like the volume of tickets automated and is formulated collaboratively with each customer. No charges apply until mutual agreement on pricing is reached.

Key features include embedded integration with ticketing software, auto-indexing of responses, human-in-the-loop verification, multistep conversation handling, auto-categorization, and upsell mode.

Parabolic minimizes repetitive answers through advanced AI, supports complex query handling, and continuously improves from feedback, unlike traditional methods that are more static and manual.

Parabolic’s AI only needs one match in past conversations or knowledge bases to suggest a response for RAQs, significantly improving response accuracy.

Using a human-in-the-loop approach, Parabolic learns from every rejected draft, improving its responses based on human agent feedback.