Self Sufficient Production 24x7
Adapt to your existing stack on trust basis, modular model, highly flexible design to your settings.
Trusted by teams running critical infrastructure
Agentic on-call management
The problem
Alert storms bury the signal, and the post-incident paperwork lands on the same engineer who just lost a night to it.
How Regen solves it
Alert Routing & Noise Reduction
Routes alerts on regex, literal or source, so only what deserves a page reaches the on-call engineer.
Oncall Management
Escalation paths, primary/secondary schedules with overrides, leave plans and multi-timezone support.
Bidirectional Sync
Communication tools like Slack or MS Teams in live sync with the incident timeline.
AI-powered Paperwork
Editable post-mortems, summaries and handoff digests, drafted automatically.
Checkout Service Cascade
checkout-api · payments-api
Root cause found
Missing index on payment_intents.webhook_id — pool exhausted, 8,400 users blocked.
Evidence
Response
Circuit breaker enabled, pool scaled 200 → 800
Rollback verified — error rate 68% → 2.1%
Adaptive Root Cause Analysis Engine
The problem
Deep investigation means slow dashboard splunking and messy troubleshooting, while the incident keeps burning.
How Neuri solves it
Seconds, not hours
Finds root causes within seconds of an incident firing, reading logs, traces, metrics, change logs and code directly.
Adaptive memory
Every reasoning it builds feeds an incremental memory library that keeps improving.
Steering mode
Redirect the reasoning and re-run it against the same incident for a sharper result.
Human approval
Nothing enters the library without human approval — nothing trusted by default.
payments-api OOMKill cascade — 2026-07-04
payments-api · payments-worker
91%
Root cause found
Deploy a3f9c2 cut the payments-api memory limit from 512Mi to 256Mi — the container OOMKills under normal load.
Evidence
Reasoning steps
Deploy a3f9c2 lowered the payments-api memory limit from 512Mi to 256Mi
Kubernetes OOMKills the container repeatedly, producing a restart cascade across all 3 replicas
Review history
APPROVED by @priya · 14:31
Auto heal, under approval
The problem
The fix lives as tribal knowledge with one senior engineer, and the runbook that worked last time was never written down.
How Reflex solves it
Runbook builder
Turns an identified root cause into a runbook, AI-assisted or built by hand.
Growing library
Every rollout grows an incremental runbook library the whole team can execute.
Shadow mode
Simulates against the live system with no write provision, before anything goes live.
TelevisionOps
Watch agents do the work on your mobile phone. No need to login at 3am without need.
payments-api · OOMKill auto-remediation
Trigger · Neuri diagnosis · confidence ≥ 85%
Execution mode
Actions
Revert deploy a3f9c2
restore memory limit 256Mi → 512Mi
Roll restart payments-api
3 replicas · surge 1, maxUnavailable 0
Verify recovery
OOMKill rate = 0 for 5 min
Post back to incident
attach actions to INC-4821
Talk to production
The problem
Every answer costs another query language, and “not our code” turns into an hour of debate between vendors.
How Gills solves it
One chat layer
The reactive chat layer across Regen, Neuri and Reflex.
Plain conversation
Ask about infrastructure, incident progress and application health in plain English.
Act from chat
On-demand RCA and runbook execution, right from the conversation.
Gated access
Separate read and write access gates keep every action safe.
Ask Gills
INC-4821 · payments-api OOMKill cascade
What caused the latency spike recently?
Gills
Deploy a3f9c2 cut the payments-api memory limit from 512Mi to 256Mi. The container OOMKilled under normal load, taking all 3 replicas into a restart cascade — p99 went 120ms → 2.4s.
Suggested
How accuracy is enforced in production
80%
Accurate
Robust Quality Gates
Integrated with the production tools.
Evaluation benchmarks
Accuracy gates with confidence scores. Validated for every reasoning
Human in the loop
Playbook and Runbook with manual approval quality-check layer before it enters the knowledge library.
Steering
Edit and redirect the reasoning steps, then re-execute with the best result.
Guardrails
Hard limits on reasoning loops, tool-use depth and iterations, token usage and LLM response bounds and more.
Redaction
Strictly enforce PII and Sensitive information masking. No data leaks to the LLM.
Shadow mode
Simulate against the live system. Promote to live only once your confidence is high.
Your data, your control
Bring Your Own Key (BYOK)
Bring your own LLM key, with multi-vendor multi-model support.
Data Leakage Prevention
PII and Sensitive information masking with strict data governance layers.
Multiple Deployment Options
On-prem, Air-gapped and Private Cloud, Managed Cloud SaaS Deployments, configured and validated by a dedicated Forward Deployment Engineer.
Access Control and Auditing
RBAC, MFA, Custom SSO/SCIM provisioning and Audit trails
Compliant on
Deploys to
$500k
saved annually
No seat-based pricing on any tier
Based on a 100-engineer team baseline.
Product updates & reliability notes, straight to your inbox.
From the blog
Incident management insights
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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
Regen is agentic on-call management. Neuri is the adaptive root cause analysis engine. Reflex is the auto heal engine that rolls out fixes. Gills is the production talker - the chat layer across all three. Together they run the incident cycle end to end, from alert through to validated fix.