RunLLM

What is RunLLM?

RunLLM is a platform designed to enhance technical support by providing AI-powered support agents. These agents are built to handle complex technical products, offering solutions that are accurate, fast, and scalable. RunLLM integrates with various tools and platforms, making it a versatile solution for both internal and external support needs.

Benefits

RunLLM offers several key benefits that make it a valuable tool for technical support teams:

• Agentic Planning and Tool Use: RunLLM agents can handle complex problems by analyzing questions, seeking clarification, and scanning logs and telemetry to provide the most relevant and accurate answers.
• Quality Data: The platform combines search, a knowledge graph, and fine-tuned language models to deliver expert answers that users can trust.
• Customization: Users can create agents with distinct tones, behaviors, and outputs tailored to specific needs, such as a Support Engineer for step-by-step code or a Sales Copilot for business-level responses.
• Integration: RunLLM works across various platforms, including Slack, Zendesk, and documentation sites, making it easy to integrate into existing workflows.
• Learning Capabilities: The platform comprehensively learns from documentation, code, and customer conversations to deliver precise and trustworthy answers.
• Deployment Flexibility: RunLLM can be deployed across multiple channels, ensuring that support is available wherever it is needed.
• Problem-Solving: The platform generates validated code, updates documentation proactively, and ensures user success with follow-ups and smart escalations.

Use Cases

RunLLM is particularly useful for technical support teams that need to handle complex customer issues efficiently. Some of the primary use cases include:

• Customer Support: Providing instant, accurate support to customers, reducing the time to resolution and improving customer satisfaction.
• Internal Support: Assisting internal teams with troubleshooting and resolving technical issues quickly.
• Documentation Improvement: Analyzing support interactions to identify gaps in documentation and product improvements.
• Code Validation: Automatically writing and testing code tailored to customers' unique environments, reducing resolution times.
• Log Analysis: Analyzing detailed debugging logs to pinpoint root causes and deliver context-aware solutions.

Vibes

RunLLM has received positive feedback from users and industry experts. For example, Aparna Dhinakaran, Founder & Chief Product Officer at Arize, noted that RunLLM made their technical support instant, accurate, and always available. Maggie Hayes, Founding Community Product Manager at DataHub, was impressed by the quality of responses for nuanced aspects of their project. Simon Mo, Core Maintainer, highlighted that RunLLM delivered precise answers reflecting their exact technology and terminology.

Additional Information

RunLLM was founded by PhDs and Professors from UC Berkeley's renowned Computer Science Department and its AI and LLM research center, RISELab. The team's deep expertise in AI, LLMs, data systems, and scalable infrastructure enables them to apply cutting-edge research to solve real-world technical support challenges.

The platform is designed to ingest data from various sources, including documentation, support conversations, and code, transforming fragmented knowledge bases into sophisticated, always-up-to-date knowledge graphs. This ensures that the AI Support Engineers are well-equipped to handle a wide range of technical issues.

Starting with RunLLM is quick and easy. Users can provide a link to their documentation, and RunLLM will instantly start building an AI Support Engineer. The platform allows for easy validation and deployment across various channels, ensuring that support is available wherever it is needed.

RunLLM is a powerful tool for technical support teams looking to enhance their support capabilities with AI-powered solutions. Its ability to provide accurate, fast, and scalable support makes it a valuable asset for any technical support team.