Amberflo vs. Legacy FINOPS

The FinOps Upgrade You Need

Legacy FinOps platforms stop at cloud optimization. Amberflo is built for the AI-Era, delivering the first AI Control Tower for modern enterprise infrastructure.
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Trusted by fastest-growing businesses and enterprises
Header image

Built for the AI Era

Purpose-built for 

AI

Native support for the infrastructure patterns that power modern AI workloads

Real-time usage and 
token insights

Granular visibility into LLM consumption, GPU utilization, 
and AI service costs

Native support for LLMs, GPUs, and edge workloads

Comprehensive coverage 
across the entire AI infrastructure stack
Trusted by fastest-growing businesses and enterprises
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TigerGraphLaunch DarklyAlkiraFireboltcafEquinixVaporSupportLogicIntermaxPrivate AI
the winning factors

Amberflo vs Cloudability

Feature

Foundational Approach

Amberflo

Built from first principles with
native metering, rating, and
billing

Cloudability

Built on cloud cost files from 
cloud providers
Real-Time usage metering
Yes
Native, real-time, usage metering engine across cloud, on-prem, and AI infrastructure
No
Relies on static, delayed billing files
AI workload Support
Yes
Tracks LLM token usage, GPU time, inference, training, and cost attribution
No
Native AI tracking — limited to cloud cost visibility
0n-prem & hybrid infra support
Yes
Supports metering and cost tracking for on-prem systems
Partial
Possible through integrations, not natively
SaaS & Internal App Tracking
Yes
Can meter internal tools and SaaS usage
Limited
Only supports specific cloud SaaS integrations
Custom Rate & Cost Allocation engine
Yes
Configurable rate cards per team, department, or project
No
Relies on external provider pricing and static cost breakdowns
Chargeback & Showback
Yes
Supports granular internal chargebacks and showbacks with rating logic
Limited
Requires complex tagging and post-processing
Tag Independence
Yes
Does not rely on perfect tags; allows for rule-based logic and inference
No
Tagging is central to its cost allocation model
Multi-Cloud Support
Yes
AWS, Azure, GCP, with normalized pricing and unified metering
Yes
AWS, Azure, GCP supported via billing ingestion
Department & Business Unit Visibility
Yes
Purpose-built for department-level usage, budget alerts, and custom invoicing
Partial
Depends on tagging and manual grouping
Billing & Invoicing Engine
Yes
Built-in billing engine for internal or external invoicing
No
Requires external tools
LLM & GenAI cost Tracking
Yes
Real-time tracking of token usage, model calls, GPU hours
No
No support for GenAI or LLM observability
Time-to-insight
Yes
Real-time
Partial
Delayed (hours to days, depending on cloud bill processing)
Extensibility & APIs
Yes
Full APIs — programmatic access to metering, rating, billing
Partial
APIs focused on reports
Vendor Lock-in
Yes
Open architecture, customer owns usage data and logic
Limited
Tied to Apptio ecosystem
AI FinOps & Control Tower Support
Yes
Core capability — designed for AI-era cost visibility and governance
No
Not supported — not built for AI factories or modern AI infrastructure

Amberflo vs Others

Feature

Amberflo

Flexera

CloudZero

Vantage.sh

CloudHealth

Hybrid Infra Support
Token-Level AI Metering
Built-in Billing Engine
Custom Rate Cards
Real-Time Cost Forecasting
AI Services Catalog
"We selected Amberflo because we needed to centralize GPU and LLM access across hybrid environments, with real-time usage and chargebacks. 
We can now tie AI spend to value."
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Built for What’s Next

Enterprises moving fast on AI choose Amberflo

Token Native

Real-time metering at the token level for true AI cost visibility

Hybrid Ready

Cloud, on-prem, edge-unified visibility without agents

AI-First

Built for LLMs, GPUs, and the enterprise AI workload reality
FAQs

Questions FinOps Leaders Ask

Answers to the most common questions about Amberflo's AI-native approach
How is Amberflo different from other FinOps platforms like Cloudability or CloudZero?
Amberflo was built cloud-native from day one, with real-time metering and usage-based insights as core capabilities—not bolt-ons. Unlike traditional FinOps tools that rely on delayed billing data, Amberflo streams and processes usage in real time, enabling proactive cost control. We also go beyond cloud cost management to support AI, SaaS, and on-prem/hybrid workloads in a single platform.
Do I need to install agents or make code changes to start using Amberflo?
No agents, no invasive installs. Amberflo integrates through secure APIs and existing cloud provider connections. You can be up and running in hours without touching your application code.
Can Amberflo handle token-level metering for AI models like GPT-5 or Claude?
Yes. Amberflo provides fine-grained metering down to the token level for LLMs, enabling precise cost attribution by team, model, or application. You’ll know exactly how AI resources are being used—and by whom—in real time.
What kind of visibility can I expect for on-prem and hybrid infrastructure?
Amberflo supports hybrid environments with unified visibility across public cloud, private cloud, and on-prem resources. You’ll get consistent cost, usage, and performance metrics no matter where workloads run, with customizable dashboards for each environment.
Is Amberflo only for AI-first companies, or can it work for traditional IT teams too?
Amberflo works for both. While we’re optimized for modern, usage-based, and AI workloads, our platform delivers the same real-time insights and cost control for traditional IT, enterprise applications, and infrastructure.
Does Amberflo offer more than just dashboards and greater visibility?
Yes, we aren’t just showing your costs back, we are giving you control with proactive alerting, unified workload planning and budgeting, and customized cost savings recommendations based on your unique usage profile and IT footprint.
Plan smarter. Spend better. Scale faster.
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Delight customers with on-demand metered invoicing and billing

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