Monitors AI agents in production, catching silent failures with root-cause analysis.
Product memo
AI developers and MLOps teams face unique challenges in production, especially with AI agents. Nexus provides specialized monitoring to detect silent failures before they impact users. It integrates contextual data like code, logs, and prompts, offering real-time root-cause analysis. This approach ensures AI agent reliability and prevents issues from reaching end-users.
For who
AI developers and MLOps teams
Solves what
Silent failures and root-cause analysis for AI agents in production
- Real-time agent monitoring
- Context-aware failure detection
- Automated root-cause analysis
In their own words
Monitor your AI agents in production
Catch and handle agent loops before they reach your users, with complete context.
Operator context
Founded
May 2025
HQ
United States
Platform
Web app
Audience
Developers
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Nexus Expand
Nexus offers specialized monitoring for AI agents in production, addressing a critical need for AI developers and MLOps teams. It focuses on identifying silent failures, which are often difficult to detect with traditional observability tools.
The platform provides real-time analysis and integrates contextual data, including code, logs, and prompts, to deliver broad root-cause analysis. This helps teams maintain the reliability of their AI agents and proactively resolve issues before they affect end-users, ensuring stable operation in complex AI environments.