RunLLM

RunLLM is a platform to build and deploy enterprise-ready AI Support Engineers that do everything from deflecting tickets to analyzing logs to improving documentation — all on your stack. Each agent is trained on your data to become a deep expert on your product, capable of resolving real issues like ticket deflection, log analysis, and documentation gaps. With fine-tuned models, agentic reasoning, and workflow integration, RunLLM delivers expert answers across Slack, Zendesk, your docs site — even directly inside IDEs like Cursor via our MCP server. Founded by Berkeley professors and PhDs, RunLLM combines deep AI expertise with practical deployment. Teams at Databricks, Monte Carlo Data, Sourcegraph, Corelight, and Arize AI trust us to scale support, improve CSAT, save engineering time, and accelerate user adoption. Customer impact: → 30%+ reduction in engineering workload → $1M+ in engineering cost savings → 99% ticket deflection at scale