Phoebe provides AI agents that continuously investigate live data streams to diagnose emerging software issues. These agents generate preemptive fixes to mitigate problems before they impact users. The platform utilizes proprietary models to connect and analyze data across diverse, siloed systems for accurate troubleshooting.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams spend significant time manually investigating bugs and incidents within their technology stack, requiring them to sift through disparate data sources and execute repetitive queries. This manual effort leads to increased time to resolution and delays in identifying preventative measures.
Solution
Phoebe provides an agentic search tool that automates troubleshooting workflows for engineering teams. By integrating with various data sources across the tech stack, Phoebe proactively searches for relevant information and triages issues, significantly reducing manual engineering work. The platform leverages proprietary machine learning models to understand and connect data across siloed systems, enabling engineers to quickly identify root causes, anticipate problems, and improve time to resolution. Phoebe also automates analysis to turn incident history into an intelligent knowledge base, facilitating the identification of high-impact preventions and best practices.
Target Audience
Phoebe is designed for engineering teams, including software engineers, SREs, and DevOps professionals, who need to quickly troubleshoot and resolve incidents within their tech stack.
Features
- Search Agent: Converts natural language requests into queries across logs, traces, commits, and other data sources, reducing query time from minutes to seconds.
- Proactive Triage: Automatically surfaces relevant facts and predicts root causes seconds after an alert is triggered.
- Analyst Agent: Reduces manual effort in preparing analysis by suggesting contributing factors and remediations.
- Intelligent Knowledge Base: Adds every error and incident to a knowledge base to help debug future problems and track common causes.
- Vendor-agnostic: Integrates with numerous data sources with read-only access, preserving flexibility in observability pipelines.
- Secure LLM Usage: Employs zero data retention and avoids training with customer data.
- ISO27001 compliance: Adheres to ISO27001 standards with security pen tests and ISMS controls.