An AI agent that root-causes engineering alerts using logs, metrics, traces, and code.
Product memo
Engineering teams managing on-call alerts use Struct to automate root cause analysis. It integrates with existing observability tools, codebases, and work platforms, offering a composable system for faster incident resolution. This approach targets teams overwhelmed by alert noise, promising significant time savings before engineers even start their workday.
For who
Engineering teams managing on-call alerts
Solves what
Root-causing engineering alerts and incidents using AI
- AI-driven root cause analysis
- Integrates logs, metrics, traces, code
- Works with existing observability stack
In their own words
Struct proactively dedupes and root causes eng alerts and on-call issues
all on top of your existing observability stack and alert channels.
Struct proactively dedupes and root causes eng alerts and on-call issues - all on top of your existing observability stack and alert channels.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • The Popular plan bundles more credits and users for growing teams.
- • Custom enterprise pricing offers volume discounts for large-scale operations.
- • Free tier lowers testing friction.
Operator context
Team
VC / larger team
Founded
Mar 2026
Platform
Web app
Audience
Developers
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Struct Expand
Struct offers an AI agent that automates the root-causing of engineering alerts, reducing manual investigation time for on-call teams. It integrates deeply with existing observability tools, codebases, and work platforms, offering a composable system for faster incident resolution.
This approach targets engineering teams overwhelmed by alert noise, promising significant time savings by proactively deduping and analyzing issues before engineers manually intervene. The product's core value lies in its ability to correlate logs, metrics, traces, and code to pinpoint the underlying cause of incidents.