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.
Active Founders
Founder
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.
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.
Founded:2026
Batch:Spring 2026
Team Size:3
Status:Active
Location:San Francisco
Primary Partner:David Lieb