RunLLM: The AI Support Engineer
AI that just doesn’t just respond—it resolves.
# Customer Service AssistantWhat is RunLLM: The AI Support Engineer ?
Built on 10 years of UC Berkeley research, RunLLM reads logs, code and docs to resolve complex support issues. Saves 30%+ eng time, cuts MTTR by 50%, deflects up to 99% of tickets. Trusted by Databricks, Sourcegraph and Corelight—try for free on your product.
Problem
Users currently handle support tickets manually, leading to high engineering time consumption and slower resolution times. Key drawbacks: manual handling of support tickets and inefficient ticket resolution processes.
Solution
AI-powered support resolution tool that reads logs, code, and docs to resolve complex support issues. Users automate ticket resolution via context-aware AI, e.g., diagnosing errors from logs or referencing code documentation.
Customers
Engineers and technical support teams at SaaS companies, data platforms (e.g., Databricks), and enterprises with frequent complex technical queries.
Unique Features
Proprietary AI trained on 10 years of UC Berkeley research, integration with codebases/docs for context-aware troubleshooting, and multi-source data analysis (logs + code).
User Comments
Info unavailable from provided data.
Traction
Launched 3 days ago on Product Hunt (82 upvotes), trusted by clients like Databricks, claims 50% MTTR reduction. Exact revenue/users unstated.
Market Size
The global IT operations and support software market was valued at $340 billion in 2023 (Statista).
