Never hear about incidents from customers again.

Herald learns your environment, detects anomalies before they become incidents, and investigates issues before they impact customers.

See a Real Investigation

Autonomous Onboarding

Learns your systems without help.

Predictive Incident Detection

Finds issues before alerts fire.

Root Cause Analysis

Investigates anything, without runbooks.

Continuous Learning

Gets smarter without being retrained.

Developer Q&A

Answers like your best engineer.

Add a new team or product. Herald figures out the rest.

Connect your data sources and Herald does the rest - mapping your architecture, understanding how systems relate, and building a working model of what normal looks like. No setup project. Running in days.

API Latency L30D
API latency
Add new endpoint…
src/server/ api.py
API server logs
deploy-workflow
api-server-deploy

Find out what's wrong before your customers do.

Herald builds a custom anomaly detection model for each data stream, filters false positives, and surfaces validated issues with root cause before any alert fires. Don't be surprised if Herald finds an undetected SEV-1 in staging within a week.

Source

Customer Data Systems

Data

Frequency Sampling Method

Detection

Statistical Anomaly Model

Validation

False Positive Filtration

Investigation

Root Cause Analysis

Investigates novel incidents. No runbook required.

Herald knows every tool, dataset, and query to use across your environment - making it the first principles AI SRE honey badger when it comes to unknown unknowns. Multiple hypotheses, parallel sub-agents, RCA in minutes. 100% accuracy on known incidents. 70% on novel ones.

Alert
API latency spike
Reason
Explore possible causes
Hypothesis
Load spike
Hypothesis
Code change
Hypothesis
Memory leak
Evaluate
Query Grafana
Evaluate
Recent PRs to API
Evaluate
Check memory usage
Identify
Usage spike from load test
Notify
Share RCA results

Gets more accurate with every incident. Known or novel.

Herald learns automatically from every investigation - what worked, what didn't, how engineers responded. No model retraining. No knowledge base to maintain.

First Occurrence

12 minutes · 3 hypotheses

Future Investigations

2 minutes · 1 hypothesis

Senior engineer knowledge, available to everyone.

Herald answers deep technical questions about your systems with 90%+ accuracy. New engineers ramp faster. Senior engineers stay focused on what matters.

Have we seen replication lag spikes in us-west-2 before?

Answered in 6s

Three times in the last 60 days, all correlated with write throughput surges in svc-orders. Most recent: incident #1847 on April 22, resolved by raising the pool ceiling in pool.go:142. The current signature matches that pattern.

incident #1847 svc-orders/pool.go:142 datadog: db-replication-lag deploy v2.4.1

Connect once. Investigate everything.

Herald connects to the tools your team already runs. No rip-and-replace. No new infrastructure.

No data ingestion. Herald queries your tools through their APIs at investigation time. Your data stays where it is. Herald stores metadata and relationships, not your telemetry, logs, or code.

  • SOC 2 Type II certified.
  • Read-only by default.
  • Autonomous capabilities you control.
  • BYOK & on-prem available.

Evaluating an AI SRE?

One question matters

What's your agent's accuracy on novel incidents?

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