Agents do the work.
You set the rules.
Regen triages, coordinates, and resolves incidents on autopilot — on-call management that learns from every incident.
No credit card required · Live in under 10 minutes
Active early adopters of our OpenSource Suite
Trusted by teams running critical infrastructure
One flow, four connected agents
From the first alert to the finished post-mortem — click a step to see who's driving it.
Regen ingests the alert, routes it to the right responder, and starts a structured incident record — the moment before anyone's phone rings.
On-call coordination, reimagined
The problem
On-call today means noisy pages and zero context by the time someone actually picks up the incident.
How Regen solves it
Regen handles on-call scheduling, alert routing, and incident coordination — similar in function to PagerDuty or Opsgenie, but designed to feed structured incident context into the rest of the FluidifyAI chain. When an incident fires, Regen creates an organized, contextualized record of what was happening at the time.
See how Regen worksSEV1 · INC-7451
Checkout Service Cascade
Alert fires
Datadog detects p99 latency >2,400ms
AI triages
Root cause: missing DB index blocking connection pool
Team coordinated
Circuit breaker enabled, pool scaled 200→800
Resolved in 12 min
Post-mortem auto-drafted, index queued
Checkout Service Cascade - Payment Processor Timeout
AI agent analyzing alert…
Timeline
Root cause, automatically
The problem
Root cause hunting means tabbing between five dashboards while the incident keeps burning.
How Neuri solves it
Neuri takes the structured incident record from Regen and runs root cause analysis automatically — correlating logs, metrics, traces, and deployment events simultaneously, generating hypotheses, testing them against evidence, and converging on a root cause with a confidence score and a full explanation of its reasoning.
See how Neuri workspayments-api OOMKill cascade — 2026-07-04
payments-api · payments-worker
91%
Review history
APPROVED by @priya · 14:31
Confirmed — matches deploy diff and metric onset
Evidence
Reasoning
Deploy a3f9c2 lowered the payments-api memory limit from 512Mi to 256Mi
Working-set memory under normal load exceeds the new 256Mi ceiling within ~40 seconds of traffic
Kubernetes OOMKills the container repeatedly, producing a restart cascade across all 3 replicas
suggested_next_step
Revert the memory limit in the deploy manifest, or right-size it against p99 working-set usage before re-rolling.
Diagnosis into action
The problem
A confident diagnosis that just sits in a dashboard is still a slower incident.
How Reflex solves it
Reflex receives Neuri's confidence-scored diagnosis and acts on it. When confidence is high enough, Reflex executes the remediation autonomously. When it isn't, it hands the pre-diagnosed incident to a human so they walk in knowing the answer, not starting from scratch.
See how Reflex worksAutomation flow
Neuri diagnosis received
confidence-scored root cause
IF confidence ≥ 85%
Restart pod: orders-v2-7f9
Ask, in plain English
The problem
Getting an answer usually means learning yet another dashboard or query language.
How Gills solves it
Gills is the natural language layer that runs across all three modules. Any engineer can ask Gills — in plain English — what happened, what Neuri found, and what Reflex did. No dashboards, no query languages, no platform expertise required.
See how Gills worksAsk, in plain English
Measured against real incident data
Regen is scored against replayed production incidents, not synthetic prompts. Pick a benchmark to see how it stacks up.
Root cause accuracy
Top-1 root cause suggestion matches the confirmed post-mortem root cause.
412 production incidents · 6 companies · Sev1-Sev3
| dataset | incident-bench-v2 (n=412) |
| top-1 accuracy | 94.2% |
| top-3 accuracy | 98.7% |
| avg. time to hypothesis | 18s |
| confidence calibration (ECE) | 0.031 |
Plugs into your existing stack
Alerting, observability, and on-call tools you already use - connected out of the box.
Built to run without babysitting
Security defaults that most vendors upsell - included from day one.
SAML/SSO free forever
Enterprise-grade single sign-on isn't gated behind an enterprise tier - it's included for every team.
Non-root container
Runs as UID 1001 with all Linux capabilities dropped - no root access inside the container, ever.
Read-only filesystem
The production root filesystem is mounted read-only, shrinking the blast radius of any compromise.
Data never leaves your infra
Self-hosted deployments keep incident data, logs, and traces inside your own infrastructure - always.
Stay ahead of the next incident
Product updates and reliability engineering notes - straight to your inbox.
From the blog
Incident management insights
AI as a Force Multiplier for SRE Teams
AI doesn't replace SRE engineers—it multiplies what they can do. Learn how AI improves alert triage, root cause analysis, remediation, and proactive reliability work.
AI Confidence Scoring in Incident Response: Why It Matters and How It Works
AI confidence scoring is the mechanism by which AI incident response systems express how certain they are about a given diagnosis, hypothesis, or recommended action. It's what sepa.
AI Copilot vs AI SRE: When Assistance Becomes Autonomy
AI copilot and AI SRE represent two different design philosophies for applying AI to engineering operations. An AI copilot provides suggestions, context, and recommendations to hum.
Frequently asked questions
Everything teams usually ask before switching.
Yes. Regen is open-source (AGPLv3) and free to self-host forever - no seat limits, no feature paywalls on the core product. A managed cloud tier is available if you'd rather not run the infrastructure yourself.