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The AI Support Engineering with answers so good you’ll trust them in front of customers.
Supporting the world’s most technical products
An expert support agent built for complex technical products that resolves customer issues faster, boosts accuracy, and scales your support.
Learns Everything
Comprehensively learns your docs, code, and customer conversations to deliver highly precise, trustworthy answers.
Deploys Everywhere
Integrates with Slack, Zendesk, Docs, and more to improve internal, external, and open-source support.
Solves Completely
Generates validated code, proactively update docs, and ensures user success with follow-ups and smart escalations.
01
Learn User Environments
Rapidly learns your customer’s specific configurations and deployments to deliver tailored, context-relevant answers.
02
Analyze Debugging Logs
Analyzes detailed debugging logs, pinpoints root causes, and delivers context-aware solutions.
03
Write Validated Code
Automatically writes and tests code tailored to your customers unique environments, reducing resolution times.
Aparna Dhinakaran
Founder & Chief Product Officer
Arize
RunLLM didn’t just improve our technical support—it made it instant, accurate, and always available. The best part? Users trust it. If you’re serious about AI-powered support, this is the only choice.”
Proven Results for Technical Products
RunLLM was founded by PhDs and Professors from UC Berkeley’s world-renowned Computer Science Department and its AI and LLM research center, RISELab.
With deep expertise in AI, LLMs, data systems, and scalable infrastructure, our team applies cutting-edge research to solve real-world technical support challenges.
About RunLLM CofoundersHere’s what RunLLM unlocks for your team.
Save Time
Free your team to focus on customer relationships and product improvements that drive retention and revenue.
Accelerate Adoption
Instantly provide users accurate, context-rich support that improves onboarding speed and retention.
Discover Insights
Gain continuous insights from support interactions to pinpoint documentation gaps and product improvements.
Scale Support
Handle increasing support volumes without adding headcount or sacrificing quality.
Custom Data Pipelines
Explore how Fine-Tuned Models improve precision
Precisely ingests and annotates your docs, tickets, and code to ensure relevant context for every answer.
Fine-Tuned Models
Explore how Fine-Tuned Models improve precision
Trains a dedicated language model tailored to your products terminology, functionality, and edge cases.
Multi-LLM Agents
Discover how multiple LLMs collaborate on answers
Orchestrates multiple LLMs per query, applying rigorous validation to deliver consistently accurate answers.
Maggie Hayes
Founding Community Product Manager
DataHub
I've been especially impressed by the quality of responses for nuanced corners of our project. Unless you'd been in Slack for months reading everything, you wouldn't know where to find answers. RunLLM just knew.”
Automatically handle more support inquiries, freeing your team for high—value initiatives.
Dramatically reduce mean time to resolution (MTTR) by delivering immediate, accurate answers 24/7.
Provide precise, cited, multimodal answers with validated code to quickly resolve issues.
Deliver exceptional support experiences that boost customer satisfaction (CSAT) and loyalty.
Ingest data from docs, support conversations, code, and more—transforming a fragmented knowledge base into a sophisticated, always-up-to-date knowledge graph. Deploy customized AI Support Engineers wherever your teams and users work.
Simon Mo
Core Maintainer
We categorically rejected AI assistants. They were inaccurate and generic—until we tried RunLLM. vLLM is sophisticated software, but RunLLM delivered precise answers reflecting our exact technology and terminology."
Just provide a link to your docs and RunLLM instantly starts building your AI Support Engineer. Test it live in minutes, easily add more data, and deploy whenever you’re ready.
01.
Ingest Your Knowledge Base
RunLLM ingests your docs, APIs, guides, code examples, support tickets, and more to build deep product expertise.
02.
Validate Your Trained Agent
RunLLM trains a tailored AI model using agentic RAG and fine-tuning techniques to produce precise, reliable, and actionable answers.
03.
Deploy Across Your Channels
Integrate RunLLM into tools like Slack, Discord, Zendesk or your docs site to deliver instant, accurate support anywhere.