# Akamas

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/akamas
- **Dataset:** https://optimly.ai/brand/akamas.json
- **Markdown:** https://optimly.ai/brand/akamas/llms.txt
- **Official website:** https://akamas.io
- **Slug:** akamas
- **Categories:** ai-machine-learning, cloud-infrastructure, developer-tools, it-management-software

## Overview

- **Tagline:** Akamas's key differentiator is its patented reinforcement learning AI that provides autonomous, application-aware, full-stack optimization—not just infrastructure—delivering explainable and safe recommendations or autonomous applications in real-time for both traditional Kubernetes and specialized AI/GPU workloads, solving optimization as a 'missing platform capability'.
Source: Brand's website (https://akamas.io) · 2026-10-04

- **Description:** Akamas provides an AI-powered platform that uses patented reinforcement learning to autonomously optimize the entire full stack (infrastructure, runtimes, applications, GPUs) for performance, reliability, and cost. It offers real-time recommendations and can apply changes autonomously, integrating with existing platforms like Kubernetes, observability tools, and CI/CD.
Source: Brand's website (https://akamas.io) · 2026-10-04

## Offerings

- **Core capabilities:** AI-powered Full-stack Optimization Platform; Production Optimization (real-time recommendations); Akamas AI Engine (core capabilities); Tuning Profiles.
Source: Brand's website (https://akamas.io) · 2026-10-04

- **Pricing:** Not explicitly detailed, likely a subscription or value-based model given the 'Calculate Savings' and 'Create Account' calls to action.
Source: Brand's website (https://akamas.io) · 2026-10-04

## Audience

- **Target industry:** Companies running complex AI/GPU workloads or Kubernetes-native applications; Platform engineering teams, SREs, DevOps teams, operations reliability & security teams, cloud-native organizations; Businesses aiming to reduce cloud costs, improve performance, and enhance reliability.
Source: Brand's website (https://akamas.io) · 2026-10-04

## Landscape

- **Competitors:**
  - Granulate
  - OpsCruise
  - Densify
  - Kubecost
  - Harness Cloud Cost Management
Source: Brand's website (https://akamas.io) · 2026-10-04

Page last updated 2026-10-17.