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Adaptive6

Adaptive6 is a Cloud Cost Governance platform that automates the detection and remediation of cloud resource inefficiencies by integrating with CI/CD workflows and providing AI-driven code fixes. It enables engineers to proactively prevent waste at the code level and streamline collaboration across teams, significantly reducing cloud costs and enhancing operational efficiency.

Founded 202317200+ followers
Updated 3 months ago

Funding

$23.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

VV

Founders

Product

Problem

Many organizations struggle with cloud cost overruns due to inefficient resource allocation, underutilized instances, and a lack of proactive cost management integrated into development workflows. Identifying and remediating these inefficiencies often requires manual analysis and coordination across multiple teams, leading to delays and missed opportunities for savings.

Solution

Adaptive6 is a cloud cost governance platform that automates the detection and remediation of cloud resource inefficiencies by integrating with CI/CD pipelines. The platform continuously scans cloud environments, identifies cost issues, and provides engineers with the context and tools needed for faster resolution. By shifting cost optimization to the pre-deployment phase, Adaptive6 enables organizations to proactively prevent waste at the code level and streamline collaboration across teams. The platform also leverages AI to provide remediation guidance, code suggestions, and automated pull requests, accelerating the process of fixing inefficiencies.

Target Audience

Adaptive6 targets Fortune 2000 companies and other organizations with significant cloud infrastructure, particularly those with DevOps teams and a focus on FinOps principles.

Features

  • Continuous scanning of cloud environments to detect cost inefficiencies
  • Integration with CI/CD pipelines to prevent waste pre-deployment
  • AI-powered remediation guidance, code suggestions, and automated pull requests
  • Automated collaboration and ticketing workflows for efficient issue resolution
  • Rightsizing recommendations for over-provisioned cloud and Kubernetes resources
  • Detection of deep waste across architecture and application workloads
  • Efficiency scoring and gamification to encourage shared responsibility
  • Policy enforcement and guardrails to prevent future cost overruns
This profile is AI-generated and may contain inaccuracies.