1 threshold model
Others Require Alert Thresholds
You have to instrument, tune thresholds for each data stream, and anticipate every failure mode worth watching. Miss one, and you're blind to it.
The AI SRE
The AI SRE that's live in minutes
Herald investigates novel incidents without runbooks by learning your infrastructure, codebase, tools, and data sources — all from a secure, free CLI that runs on your laptop.
herald — zsh
GET /api/external-tools/{id}/config is returning null
Analyzing telemetry and recent deploys…
Found 2 likely root causes. Pick one to investigate:
Real investigation on Herald production; sensitive details redacted. See more
Trusted in Production
Why other AI SREs don't work
High Maintenance. Poor Coverage.
The metric stays below the alert threshold for most of the chart, then crosses it. Marker 1 identifies the threshold crossing. The area above the threshold after that crossing is labeled no runbook coverage, and marker 2 identifies the uncovered alert territory.
2 runbook coverage
Others Require Runbooks
You document every investigation workflow before it's needed. Maintain them as your stack evolves. When something novel breaks, there's no runbook and no investigation.
Every other AI SRE is purely reactive — and only handles failures someone already anticipated.
THE HERALD APPROACH
Stop reacting. Start preventing.
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Learn
Herald builds a context graph before any alerts fire — observability, codebase, CI/CD, docs, and dependencies — so it knows what normal looks like and can work to solve any problem.
context: Jira tool 65 · config read path ·
CUST-8291-X -
Detect
No thresholds to set. Herald builds a custom anomaly detection model for each data stream and surfaces validated issues before your customers notice.
validated signal: HTTP 500s rose to 18–26% over 22 minutes while other tenants stayed flat
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Investigate
Never write another runbook. Herald evaluates multiple hypotheses simultaneously, each against the right data source, and delivers RCAs in minutes.
RCA: Schema Drift · legacy Vault keys rejected after
PR #4275
In Production
Results. Delivered Fast.
Heralds's agent onboards and adapts quickly. Gartner's 2026 AI SRE Market Guide identifies proactive incident prevention and contextual awareness as next-generation capabilities. Herald already does both.
- Results in days, not months. The Herald agent learns your stack quickly and efficiently – see your first RCA in days.
- Solves the unknown. 70%+ accuracy on novel incidents for one of the world's biggest B2B2C platforms.
- Never repeats mistakes. Herald learns from every single investigation, so it never makes the same mistake twice.
05 — The Team Behind Herald
Powered by UC Berkeley research
Herald was founded by PhDs and Professors from UC Berkeley's innovation center, RISELab, combining expertise in AI, LLMs, data systems, and scalable infrastructure.
FROM THE TEAM
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No Runbooks, No Problem: Herald Delivers Day-One Results at Snorkel AI
93% accuracy on engineering questions. Incidents resolved in minutes. No runbooks. No RCA documents. No Slack history.
Heralding the Future
We're excited to share that RunLLM is now Herald.
When Your AI-Powered RCA Spews Pages of Useless Text
When your AI-powered RCA tool floods Slack with hallucinated walls of text, the problem isn't the model. It's the missing data engineering underneath it.
