# Amberflo

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

- **Business Profile:** https://optimly.ai/brand/amberflo
- **Dataset:** https://optimly.ai/brand/amberflo.json
- **Markdown:** https://optimly.ai/brand/amberflo/llms.txt
- **Official website:** https://amberflo.io
- **Slug:** amberflo
- **Categories:** ai-machine-learning, finance-accounting-software

## Overview

- **Tagline:** A single, unified platform built specifically for the AI-Era to govern, optimize, and monetize AI usage. It offers real-time, high-scale metering, comprehensive cost management, automated revenue recognition, and flexible pricing model design without custom engineering, supporting over 1,500 LLM models and rates.
Source: Brand's website (https://amberflo.io) · 2026-10-04

- **Description:** Amberflo provides a unified platform for mission-critical usage metering, real-time cost tracking, quota enforcement, and automated billing for businesses, with a strong focus on AI and LLM usage. It helps companies understand AI costs, protect margins, design flexible pricing models (usage-based, credits, outcome-based), and automate revenue recognition.
Source: Brand's website (https://amberflo.io) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Usage Metering
  - Cost Tracking (especially for AI/LLM)
  - Credits Management
  - Usage-Based Billing
  - Revenue Recognition
  - AI Gateway for LLM access and control
  - Intelligent Model Router
  - Cost Guards and Budgets.
Source: Brand's website (https://amberflo.io) · 2026-10-04

- **Pricing:** Offers a free trial; enables customers to implement usage-based, credit-based, and outcome-based pricing models for their own products.
Source: Brand's website (https://amberflo.io) · 2026-10-04

## Audience

- **Target industry:** Companies developing AI-native products, enterprises managing variable AI and infrastructure costs, businesses implementing usage-based pricing models, developers needing real-time usage data for monetization.
Source: Brand's website (https://amberflo.io) · 2026-10-04

Page last updated 2026-10-17.