Introduction
RunLLM: Enterprise AI Support Agent
Overview
RunLLM is an enterprise-ready AI support agent platform designed to transform technical support operations. It solves the challenge of delivering unified, accurate answers across multiple user surfaces, significantly reducing support volumes and improving response times. Built on research from UC Berkeley’s RISELab, RunLLM combines search, a knowledge graph, and fine-tuned Large Language Models (LLMs) to provide expert answers at scale.
Key Capabilities
- Unified Support: Integrates with Docs, Slack, Zendesk, and other user surfaces to deliver consistent support across all channels.
- Knowledge Graph Integration: Combines search with a knowledge graph to rapidly locate relevant information, even within complex technical products.
- Fine-Tuned LLMs: Utilizes language models specifically trained on your product terminology, functionality, and edge cases.
- Code Generation & Validation: Automatically generates and tests code snippets tailored to customer environments, drastically reducing resolution times.
- Log Analysis & Root Cause Analysis: Analyzes detailed debugging logs to pinpoint root causes, delivering context-aware solutions.
- User Environment Learning: Rapidly learns specific user configurations and deployments, enabling personalized, context-relevant answers.
- Multi-LLM Agents: Orchestrates multiple LLMs per query, with rigorous validation, to guarantee consistently accurate answers.
Technical Approach
RunLLM was founded by PhDs and Professors from UC Berkeley’s RISELab, specializing in AI, LLMs, data systems, and scalable infrastructure. The platform ingests and annotates documents, tickets, and code to build a comprehensive knowledge base. It then leverages multi-LLM agents and deep log analysis to deliver accurate, cited, and often multimodal answers.
Key Benefits
- Deflect More Tickets: Reduces the number of support requests handled manually.
- Respond Faster: Delivers immediate, accurate answers 24/7.
- Improve Answers: Increases the accuracy and relevance of support responses.
- Increase Satisfaction: Boosts customer satisfaction through faster, more effective support.
- Accelerate Adoption: Instantly provide users accurate, context-rich support that improves onboarding speed and retention.
Starting Quickly
You can quickly deploy an AI Support Engineer simply by providing a link to your documentation. RunLLM immediately starts building your agent. It's a fast and straightforward way to transform your support processes.
