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CloudPilot AI

cloudpilot.aiHosting, deployment & PaaS

PulseGate's liveness check found it on 3 Oct 2026; it has been in the index since 1 Sep 2026. How this is checked

CloudPilot AI is a Kubernetes optimization platform that automates workload and node autoscaling across cloud environments. It analyzes workloads, predicts interruptions, and applies tuning to reduce infrastructure costs and operational risk for SRE and platform teams.

Inferred · not functionally tested

EnterpriseWebCloud-managed
CloudPilot AI preview
Visit cloudpilot.ai

Overview

6 features

Purpose: Reducing Kubernetes cloud waste, performance issues, and manual autoscaling operations.

Inferred · not functionally tested

Audience: SRE and platform engineering teams

Inferred · not functionally tested

Functions: monitoring, analytics, workflow_automation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: enterprise_only · license: Proprietary · platforms: WEB · deployment: browser, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: cloudpilot.ai. These links do not verify the individual claims.

In the Hosting, deployment & PaaS space, CloudPilot AI takes a focused approach. Inferred · not functionally tested: It focuses on reducing Kubernetes cloud waste, performance issues, and manual autoscaling operations. Inferred · not functionally tested: CloudPilot AI is a B2B product aimed at SRE and platform engineering teams. Basis unknown · not verified: CloudPilot AI is sold on an enterprise-only basis. Basis unknown · not verified: It ships for the web.

It is developed by CloudPilot AI. Inferred · not functionally tested: Among its 6 catalogued features are workload autoscaling, node autoscaling, and AI analysis.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Workload autoscaling
  • Node autoscaling
  • AI analysis
  • Rule-based execution
  • Multi-cloud support
  • GPU optimization

Topics: Inferred · not functionally tested

Tags
kubernetes-autoscalingcloud-cost-optimizationkarpentergpu-infrastructure
AI capabilities
Structured
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.js
Hosting
Vercel
Runs on
BrowserCloud-managed
Detected from
Next.js
x-powered-by header · /_next/static/ in the HTML · __next_f in the HTML
Vercel
x-vercel-id header · x-vercel-cache header

Trust & compliance

Public signals
HTTPSPrivacy Policy
Legal
Privacy Policy

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed1 Sep · 11:49 UTC
    Reducing Java memory usage by 43% with joint JVM and container tuning seen via Hacker News firehose (Algolia)
    Source: Hacker News firehose (Algolia) · Open

Frequently asked questions about CloudPilot AI

What is CloudPilot AI?
Inferred · not functionally tested: CloudPilot AI focuses on reducing Kubernetes cloud waste, performance issues, and manual autoscaling operations. It is catalogued under Hosting, deployment & PaaS on PulseGate.
Who is CloudPilot AI for?
Inferred · not functionally tested: CloudPilot AI is a B2B product built for SRE and platform engineering teams.
Is CloudPilot AI free?
Basis unknown · not verified: No — CloudPilot AI is sold on an enterprise-only basis.
What platforms does CloudPilot AI run on?
Basis unknown · not verified: CloudPilot AI runs on the web.
Is CloudPilot AI still active?
PulseGate's liveness check found it on 3 Oct 2026.
Who develops CloudPilot AI?
CloudPilot AI is developed by CloudPilot AI.

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