RunLLM: AI-Powered Tech Operations and Support Automation

RunLLM is an AI platform designed for technical operations and support, serving as an AI SRE (Site Reliability Engineering) tool that automates incident resolution, alert triage, log analysis, and runbook management. Built by PhDs and professors from UC Berkeley, RunLLM leverages fine-tuned LLMs trained on a user's product and terminology to deliver accurate, context-aware responses. It functions as an Agent Platform for Tech, offering AI Support Engineer, AI Support Copilot, AI Solutions Engineer, and AI Sales Copilot tools that integrate seamlessly with platforms like Slack, Jira, and Zendesk. The platform enables instant learning from user feedback, supports multimodal inputs and outputs, and provides actionable insights such as topic modeling and sentiment tracking. RunLLM is SOC 2 Type II compliant and ensures security through isolated runtime sandboxes and granular data governance.

Key Features:

• AI Support Engineer: Handles technical questions with code validation, multimodal responses, and alternative solutions.
• AI Support Copilot: Assists in deflecting technical tickets and accelerating incident resolution.
• AI Solutions Engineer: Provides technical support and solutions engineering.
• AI Sales Copilot: Supports sales teams with AI-driven insights.
• Agent Platform: Offers customizable AI agents for various use cases.
• Incident Resolution Automation: Automates incident detection and resolution.
• Alert Triage & Analytics: Prioritizes and analyzes alerts for faster response.
• Log Analysis: Processes logs, metrics, and telemetry for insights.
• Runbook Management: Updates or creates runbooks automatically, even when outdated.
• Multi-Agent Reasoning: Uses advanced data pipelines and multi-agent systems.
• Code Execution & Validation: Validates code responses and executes code securely.
• Seamless Integrations: Connects with Slack, Jira, Zendesk, GitHub, and more.
• Multimodal Capabilities: Supports text, code, and images.
• Instant Learning: Improves accuracy based on user feedback.
• Actionable Insights: Provides topic modeling, user sentiment tracking, and trend detection.
• Security & Compliance: SOC 2 Type II compliant with isolated runtime sandboxes.
• SDK for Customization: Allows developers to build custom AI support agents.
• Documentation & Resources: Includes blog, documentation, and use cases.

Pricing: RunLLM offers a free demo and early access, with a subscription model available for enterprise users.

Conclusion: RunLLM is a powerful, research-backed AI platform that transforms technical support and operations with intelligent automation, making it an essential tool for engineering teams and tech companies seeking to improve efficiency and reliability.