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 Investigationwhy are checkout webhooks failing?
Gathering context...
- Read Datadog monitor: "Checkout API 5xx Spikes"
- Pulled recent logs from k8s pod: checkout-worker-7b49f
- Scanned git history for repo: billing-svc
- Checked Stripe API status: Operational
Analyzing...
Found root cause (High Confidence): Commit 8f2a1b renamed 'customer_id' to 'stripe_id' in the billing-svc database, but the webhook handler in checkout-worker was not updated. It is silently dropping the payload.
Suggested fix: Update line 142 in src/handlers/webhook.ts to reference payload.stripe_id.
Autonomous Onboarding
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 Predictive Incident Detection
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.
Customer Data Systems
Frequency Sampling Method
Statistical Anomaly Model
False Positive Filtration
Root Cause Analysis
Root Cause Analysis
Investigates novel incidents. No runbook required.
Herald knows every tool, dataset, and query across your environment, so it's prepared for unknown unknowns. Multiple hypotheses, parallel sub-agents, RCA in minutes. 100% accuracy on known incidents. 70% on novel ones.
API latency spike 
Explore possible causes Load spike Code change Memory leak Query Grafana Recent PRs to API Check memory usage Usage spike from load test 
Share RCA results Continuous Learning
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
Future Investigations
Works With Your Stack
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.
