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JetScale

JetScale is an AI‑driven platform that continuously scans multi‑cloud environments to identify cost‑inefficient compute, storage, and database resources. It generates policy‑compliant, pull‑request‑ready Terraform code or guided ClickOps instructions, enabling DevOps, SRE, and FinOps teams to automate and audit cloud cost optimizations within existing CI/CD workflows.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations often incur unnecessary cloud spend due to over‑provisioned compute, idle storage, and sub‑optimal database configurations. Identifying these inefficiencies manually requires deep expertise and can lead to “blind” changes that jeopardize performance or compliance. Existing FinOps dashboards surface cost data but do not provide actionable, code‑level remediation.

Solution

JetScale delivers an autonomous AI platform that continuously scans a cloud environment, correlates telemetry, cost, and configuration signals, and surfaces high‑impact optimization opportunities. For each opportunity, the system produces a policy‑aligned remediation plan and generates Terraform‑ready code or guided ClickOps instructions that can be reviewed, version‑controlled, and deployed through the team’s existing CI/CD pipeline. The platform operates in read‑only mode, ensuring no direct modifications to the live cloud account, and provides impact estimates and safety checks to reduce risk. By embedding fixes into standard pull‑request workflows, JetScale enables engineering teams to treat cost optimization as a software engineering problem, preserving auditability and governance.

Target Audience

JetScale targets DevOps, SRE, and FinOps teams in mid‑size to large enterprises that manage cloud infrastructure with Infrastructure‑as‑Code and require automated, auditable cost‑optimization workflows.

Features

  • AI‑driven analyzer that continuously monitors compute, storage, and database resources across multi‑cloud environments.
  • Automated ranking of optimization candidates with evidence‑backed context (cost impact, performance risk, policy compliance).
  • Generation of PR‑ready Terraform manifests that include precise diffs and can be merged via existing version‑control systems.
  • ClickOps remediation mode delivering step‑by‑step console URLs and commands for teams that prefer manual execution.
  • Integration hooks for CI/CD pipelines, enabling automated testing and deployment of cost‑saving changes.
  • Read‑only access model that never writes to the cloud account, preserving security and compliance boundaries.
  • Structured remediation plans that include expected savings, rollout sequencing, and rollback safeguards.
  • Compatibility with common IaC tools and cloud provider APIs, supporting AWS, Azure, and GCP resources.
This profile is AI-generated and may contain inaccuracies.