AI-Native Autonomous Monitoring

Your infrastructure
heals itself.

Paxis continuously watches your cloud, detects anomalies the moment they appear, and executes remediation playbooks automatically — before on-call engineers are even paged.

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Trusted by platform teams managing Kubernetes at scale.
No agents. No rules engine. No alert fatigue.

What Paxis Does

From reactive alerting to proactive self-healing

Three capabilities that eliminate alert fatigue and slash MTTR — working together in a continuous loop.

Continuous Monitoring
Watches every metric, log, and trace across your Kubernetes clusters, cloud instances, and generative AI workloads — in real time.
Anomaly Detection
AI trained on your infrastructure patterns identifies deviations the moment they occur, before thresholds are breached.
Auto-Remediation
Executes pre-approved playbooks automatically — restarts failing pods, scales resources, isolates bad nodes — without human input.
Zero Alert Fatigue
Only surfaces actionable incidents. Paxis suppresses noise, correlates events, and surfaces root cause — not symptoms.
Toolchain Integration
Works alongside Dynatrace, Datadog, and Splunk. Paxis adds the autonomous remediation layer on top of tools you already trust.
Enterprise Ready
SOC 2 Type II, RBAC, audit logs, and private cloud deployment options. Built for the reliability standards Fortune 500 demands.

The Self-Healing Loop

Three steps. Zero human intervention.

01

Observe

Paxis connects to your existing monitoring stack and begins learning the baseline behavior of every service, pod, and endpoint in your infrastructure.

Ingests metrics from Prometheus, CloudWatch, and your APM tools
Learns normal traffic patterns, latency distributions, and error rates
Builds a continuously updated behavioral model per service
02

Detect

When a metric or log pattern deviates from learned baselines, Paxis identifies it as an anomaly — not just a threshold breach — and immediately correlates it with related signals.

Flags deviation within seconds of onset
Correlates across logs, traces, and metrics automatically
Scores severity using impact analysis, not just metric magnitude
03

Heal

Paxis selects and executes the appropriate remediation playbook, tracks the outcome, and learns from the result — closing the loop without paging anyone.

Executes playbooks: restart, scale, isolate, roll back
Monitors recovery and confirms resolution automatically
Reports remediation outcomes to your existing incident tools

What Teams Say

Real teams already run this on call

Three founders and platform teams shipping with Paxis in production.

Paxis caught a noisy k8s node restarting pods every 90 seconds — something our Datadog bill never flagged. Auto-isolated it at 3am without paging anyone. We dropped Datadog the next quarter.

MO

Maya Okafor

Platform Engineer, Helix Robotics

On-call rotation used to dread Mondays. After two weeks with Paxis, our MTTR dropped from 41 minutes to under 6 — and most incidents close before the first page goes out.

DP

Daniel Park

Engineering Team Lead, Northwind Logistics

We were drowning in PagerDuty noise — every blip, every retransmit. Paxis correlates the actual anomaly across metrics and logs and only fires when something is genuinely wrong. The on-call rotation sleeps now.

SL

Sara Lindqvist

Founding Engineer, Mercato AI

Common questions

Questions buyers ask before signing up

Pricing, Kubernetes fit, the safety story, and what changes if you're coming from Datadog or New Relic.

Free tier available

Ready to eliminate alert fatigue?

Start free with an email — real CPU metrics, real anomaly alerts, real remediation for 14 days. Upgrade to Starter ($49/mo) or Team ($199/mo) before day 14 to keep monitoring live.

Start free — 14-day trialTalk to the team