AI SRE Suite

How does it work?

One suite, one timeline. Click through the stages below, watch the product in action, and see real screenshots from the app - not mockups.

From alert to answer

Click a stage to see what FluidifyAI does at that point in the incident.

Regen

Incident detected

An alert comes in from Prometheus, Grafana, CloudWatch, or a webhook. Regen dedupes it against open incidents, assigns severity, creates a Slack channel, and pages the on-call engineer per the escalation policy.

checkout-api · p99 latency 2,400ms · error rate +680%
See Regen
Real product, not mockups

What it actually looks like

Switch between views to see the incident list, the AI summary panel, and a post-mortem draft.

app.fluidify.ai / incidents
Regen incident list showing severity, status, duration, and lead for each incident

Every incident, triaged by severity and status, with duration tracked automatically from trigger to resolution.

Watch it in action

Two short clips from the actual product - no voiceover, just the UI doing its job.

Slack: incident channel, auto-created

The moment an incident triggers, Regen creates the Slack channel, posts the incident summary, and invites the right people - no manual setup.

AI summary, generated in the app

On the incident detail page, the AI summary condenses what's known so far - pulled straight from the timeline, no copy-pasting into a separate tool.

Four products, one suite

Each product works standalone. Together, they cover the full incident lifecycle.

Ready to see it on your own stack?

Regen is open-source and deploys in under 5 minutes.