Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Parahelp is an innovative cloud-based AI platform designed to assist customer support teams in creating and managing agents that handle customer inquiries comprehensively. The Customer Agent is capable of interacting via various channels, including email, live chat, and Slack, and can integrate seamlessly with existing ticketing systems. In addition, the Internal Agent empowers teams to develop, test, and optimize the customer agent by utilizing historical ticket data, company-specific information, and connections to business applications. Teams have the ability to analyze test scenarios, approve agent responses, and determine which types of replies or actions should be executed automatically. This functionality enables efficient workflows for tasks such as verifying account or subscription information, troubleshooting product-related issues, and performing authorized actions like processing refunds. Ultimately, Parahelp is designed specifically for customer support teams seeking to implement AI agents that align with their unique products, policies, and operational frameworks, enhancing their overall efficiency and customer satisfaction. By leveraging this technology, organizations can streamline their support processes while providing timely and accurate assistance to their customers.
Description
RunLLM provides enterprise-level AI support engineers that efficiently assimilate your documentation, codebases, support tickets, and telemetry to create a cohesive knowledge graph and specialized language models. These intelligent agents employ strategic planning and tool utilization to address inquiries, review logs, execute and verify code, manage ticket resolutions, update documentation, and engage in proactive follow-ups, while exception-based workflows ensure that only intricate issues are escalated for human intervention. The customizable nature of these agents allows you to specify unique tones and behaviors, and the orchestration of multiple LLMs guarantees rigorously validated responses. Integration capabilities with platforms such as Slack, Zendesk, and Docs facilitate immediate deployment, demonstrating ROI in mere minutes by redirecting up to 99% of inquiries, drastically reducing mean resolution times, and enabling support scalability without increasing workforce size. Additionally, with real-time dashboards and ongoing insights into user environments, RunLLM revolutionizes support into an automated and highly accurate service, ensuring that both efficiency and effectiveness are at the forefront of the user experience. As a result, organizations can focus more on core activities while relying on intelligent solutions for support management.
API Access
Has API
Yes
API Access
Has API
No
Integrations
GitHub
Yes
Intercom
Yes
Jira
Yes
Linear
Yes
Notion
Yes
Salesforce
Yes
Slack
Yes
Zendesk
Yes
Attio
Yes
Devin
Yes
Integrations
GitHub
Yes
Intercom
Yes
Jira
Yes
Linear
Yes
Notion
Yes
Salesforce
Yes
Slack
Yes
Zendesk
Yes
Attio
No
Devin
No
Pricing Details
$1/ticket
$1 per auto-resolved support ticket, plus model token usage at public token rates. Month-to-month with no setup or platform fees, ticket minimums, or long-term commitment; volume discounts are available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Copilot Labs
Founded
2024
Country
United States
Website
parahelp.com
Vendor Details
Company Name
RunLLM
Founded
2020
Country
United States
Website
www.runllm.com