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Agent-Native Incident Management
Probe is an incident management platform built for AI agents. It uses a knowledge base to ground agents in the context buried across a team's stack and surfaces the right pieces the moment an engineer is paged. When an incident hits, the agent is already working from the team's tribal knowledge: what happened and why, who has touched the code before, where it broke last time, and who to wake versus who to let sleep. Engineers debug faster and simply approve the fix. Once resolved, Probe writes the postmortems and updates your knowledge base so every incident makes the next one easier.
Probe is a research lab focused on building systems that make software measurably faster. It positions itself as an entity backed by Y Combinator and based in San Francisco with a mission to improve software performance.
Probe builds incident management tooling that is agent-native, designed to integrate with software systems to manage incidents directly from the agents involved. The product emphasizes software speed improvements through its systems research approach and is positioned as a practical toolset for faster software operation, though exact features are not listed in the provided text.
Who it’s for: Developers and engineering teams seeking faster software performance and integrated incident management, particularly startups and tech organizations that value reliability and rapid incident response.
Backed by YC; indicates early-stage startup with accelerator support
Co-Founder and CPO @ Probe. Previously studied EECS and conducted SpecDec research at Berkeley. Worked on inference for LoRA fine-tuned models at Databricks. Developed machine translation models at Apple that were SOTA with Apple data. Finished Databricks internship in 9 weeks and turned down MLE at Together AI to start Probe.
Formerly “Prbe” · why startups rename →
The infra layer for AI agent experience.
The AI-native observability platform for fast-moving engineering…
