Connect the signals
Group related symptoms with service context and explainable rules.
THE AIOPS OPERATING LAYER
Early access
AIOps for
AIOps for
clearer signals.
Connect alerts, service context, and automation in one AIOps
view.
Explore AI-assisted triage, with your team in control.
Explainable rulesHuman control
A LITTLE LESS CHAOS. A LOT MORE
CONTEXT.INTERACTIVE PRODUCT PREVIEW
Your signal, at a glance.
Everything that matters. Nothing that doesn’t.
Alerts received
1,284
Actionable signals
24In focus
Repeat noise filtered
86%
ALERT / SERVICESOURCESTATUSTIME
A working preview with illustrative data. Results depend on your alert patterns and rules.
YOUR STACK STAYS. THE NOISE GOES.
Prometheus◉Grafanasentryaws⌣✣slackP·PagerDuty
Pilot integration candidates · We’ll scope the right connections with you.
ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS
Operational data.
Operational data.
Operational intelligence.
AIOps brings operational signals and context together to help teams decide what deserves attention and how to respond.
Add intelligence to triage
Explore model-backed summaries and classification through an approved provider.
Move forward with control
Keep response actions explicit and model suggestions open to human review.
AIOPS / TRIAGE BRIEFGive the responder a head start.
Review required
api-gatewayeu-west-18 related events
SIGNAL SUMMARY
Eight latency notifications point to the same service and region. The sample context links the platform team and its investigation runbook.
WHAT TO REVIEW NEXTReview the deployment timeline and the service runbook before choosing an escalation or response action.
PL
Platform teamOwner reviews the context and next step
Illustrative output · no model is connected. Model-backed triage is an optional scope to explore; this preview demonstrates rule-based grouping and workflow examples.
BUILT FOR THE PEOPLE ON CALL
Your attention is precious.
Your attention is precious.
Treat it that way.
Monitoring tools are great at finding problems.
Radory helps
you find what needs you.
CPU threshold exceeded CPU threshold exceeded High CPU on api-prod
One issue. One clear signal.3 related alerts, connected.
01 / LESS REPETITION
One issue. Not twenty pages.
Group related alerts and filter repeats with rules you can understand and control.
Payment latency elevatedEnriched
- Service
- payments-api
- Owner
- P Payments team
- Runbook
- Investigate latency ↗
Context, without the context
switching.
02 / MORE CONTEXT
The story behind the signal.
Bring service ownership, related events, and runbooks into the same view.
◉Alert received
Radory
✣Right team
Same workflow. Better signal.
03 / YOUR WORKFLOW
Fits right into your on-call.
Send actionable signals to the tools your team already uses. Start with one flow.
THE AIOPS TOOLKIT
More than an inbox.
More than an inbox.
An operating layer.
Find the right alerts, connect the missing context, and shape a response your team can repeat.
COLLECT & QUERYInteractive example
One view. Precise control.
Slice an alert stream by service, severity, or source with expressive, readable conditions.
severity == "critical"
MAP & ENRICH
Make every alert more useful.
Match incoming events to service records. Bring ownership, environment, and runbook links along for the ride.
payment_timeoutservice: payments-api
Incoming
Service catalog context
- owner
- payments-team
- environment
- production
- runbook
- /runbooks/payment-latency
SERVICE CONTEXT
See what’s connected.
A dependency view puts service symptoms in context, helping responders follow the relationships behind an incident.
api-gatewayEntry point
payments-apiInvestigating
postgres-primaryredis-cache
MAINTENANCE WINDOWS
Planned work, calmer notifications.
Use a time window and matching conditions to quiet expected events during a deployment or upgrade.
Database upgradeSample window · 02:00–02:30 UTC
service == "database"
&& severity ==
"warning"
Expected connection warningNotifyCritical payment failureNotify
Preview off · both sample events notify.
Explore the product direction. The initial pilot’s features, sources, and actions are agreed with your team.
TURN YOUR PLAYBOOK INTO A WORKFLOW
Less manual handoff.
Less manual handoff.
More forward motion.
Start with an event. Look up context. Apply a condition. Choose the next action. Explore three example flows.
WORKFLOW PREVIEW
Route payment errors with context
Follow a critical payment event from source to the team that owns it.
payments-critical.yamlIllustrative configuration
The simulation runs only in your browser. Live workflows require configured providers, credentials, and an agreed deployment scope.
FROM ALERT TO ACTION
Find your rhythm.
Find your rhythm.
Keep your stack.
Start small. Connect two sources, make sense of the noise, and see the difference in your own data.
Explainable operations.
Every rule has a reason.
Every rule has a reason.
Bring your alerts together.
Connect your monitoring sources to one inbox. No need to replace the tools you rely on.
Your first two sourcesGive the noise some structure.
Set grouping and routing rules. See why each alert was connected, filtered, or sent onward.
Explainable, editable rulesMake the next step obvious.
Route the signal to your existing on-call flow. Compare notification volume before and after.
Measure your actual results
CONNECT THE STACK YOU ALREADY HAVE
A place for every signal.
A place for every signal.
A path to the right tool.
Monitoring, on-call, ticketing, and context sources. Choose the connections to explore in your pilot.
16 integration candidates
No matching tool yet.
Tell us what you use and we’ll discuss the integration path.
AIOPS WITH CLEAR BOUNDARIES
Choose the setup.
Choose the setup.
Keep the control.
Agree how the system runs, which data it can access, and what actions it may take before connecting your environment.
A LITTLE MORE CONTEXT
Good questions.
Good questions.
Clear answers.
Still curious?
What does AIOps mean for Radory?
AIOps means artificial intelligence for IT operations. Radory’s direction connects alert grouping, service context, and workflow automation with optional AI-assisted summaries and classification. The current preview demonstrates the rule-based flows; model-backed capabilities are scoped separately, with your team reviewing suggestions and data access.
Can workflows update tickets and notify our team?
That is a core workflow use case: receive an event, fetch context, and invoke a selected provider action. Ticket creation, updates, notification routing, and any return synchronization are scoped per connector. The examples on this page simulate that flow without making external calls.
Can we review workflows as code?
The workflow direction uses YAML to describe triggers, conditions, context lookups, and actions. Switch the workflow preview to YAML to inspect an illustrative configuration. A production workflow also needs validated provider settings, permissions, and testing.
What about AI-assisted operations?
Optional model-backed steps, such as summaries or classification, can be explored with a provider your team approves. This prototype does not send alert data to an AI model. AI correlation, autonomous remediation, and advanced enterprise capabilities are not included in the initial offer.
Do we need to replace our monitoring tools?
No. Radory is designed to sit between your existing monitoring sources and your notification or on-call tools. The initial pilot focuses on two sources and one destination.
How is Radory different from our on-call tool?
The initial focus is the signal before the page: grouping repeats, adding context, and explaining routing rules. Your existing tool can continue to handle schedules, escalations, and incident response.
Is this a live product?
The Radory v0.2 private PoC is available at Sign in. It brings the Keep engine into the Radory workspace: alert ingestion, correlation rules, incidents, integrations, and workflows. The guided checkout case uses synthetic data and a real internal workflow trace. Workspace administrators manage user access in Settings. The dashboard on this homepage is illustrative; generative AI is not configured in the PoC.
Where will our data live?
This private PoC stores accounts and operational records in a dedicated PostgreSQL database on our hosted server. It currently serves one owner workspace with administrator-managed access. Hosting, tenant isolation, retention, and recovery requirements for a commercial pilot should be agreed before connecting production sources.
Can we try it with our own alerts?
That’s the goal of the scoped 30-day pilot. Start with the pilot brief so we can discuss your sources, notification flow, and what success should look like.
AIOps.
In focus.
Less time sorting signals. More context for your next step.
Open your workspace Built for SaaS teams. Shaped with you.