Your AI agents are silently destroying your gross margins
CapMeter Lens gives SaaS CPOs and CFOs real-time visibility into which customers, features, and AI agents are burning their budget - before it hits the board meeting.
No credit card required 路 Free for first 20 SaaS companies 路 Zero production changes needed
$40K
Average cost of one runaway AI agent over a weekend
23%
Average gross margin erosion after adding AI features
10x
Token gap between power users and average users on same plan
<10min
Time to prove AI ROI to your CFO with real per-customer margin data
The problem
SaaS companies are flying blind on AI costs
You shipped AI features. Your token bills are growing every month. But you have no idea which customers are profitable and which are quietly eating your margins alive.
Runaway agent loops
One stuck AI agent over a holiday weekend silently burns thousands before anyone notices.
Unprofitable power users
Your heaviest users consume 10x the tokens but pay the same subscription as everyone else.
No margin visibility
Your cloud bill grows but you cannot trace cost back to specific customers or features.
Board meeting surprises
Gross margin erosion appears in your quarterly numbers weeks after you could have acted.
Live dashboard
Every dollar. Every customer. Every agent.
This is what your CPO and CFO see every morning.
CapMeter.ai
Lens - Live
Agent loop detected - HR Bot consumed $340 in 4 minutes 路 Customer: ABC Corp 路 Alert sent to Slack
-$12,400
Margin lost this month
+$8,200
Margin recovered by alerts
3
Agents near threshold
142
Customers monitored
Customer
Plan revenue
AI token cost
Net margin
Status
ABC Corp
$500/mo
$680
-$180
Unprofitable
XYZ Inc
$299/mo
$48
+$251
Healthy
PQR Labs
$499/mo
$390
+$109
Watch
MNO Tech
$199/mo
$22
+$177
Healthy
Ready to see your margins?
Join 20 SaaS companies getting early access
Free to start. No credit card. No production changes.
How it works
One connection. Complete AI margin visibility. Zero production risk.
An enterprise-grade financial intelligence layer with zero production risk. CapMeter utilizes a secure, read-only connection to analyze cloud telemetry seamlessly, meaning zero system overhead, no stored credentials, and absolutely no changes to your live environment.
Four steps to full margin visibility
From zero to your first insight in under 10 minutes.
Step 01
Connect in 5 minutes
Simple self-serve setup with no code changes, no agents to deploy, and no changes to your production systems.
Step 02
We map every token
CapMeter automatically maps every token consumed to a customer account, product feature, and AI agent for full cost attribution.
Step 03
See your true margins
A live dashboard shows exactly which customers are profitable and which are costing you more than they pay. Real per-customer margin data, updated continuously.
Step 04
Alerts before it hurts
Slack and email alerts fire the instant an agent loop or cost threshold is breached. Catch a $40K weekend before it becomes one.
How the platform works
Three integrated stages. One unified margin signal. Zero production risk.
Stage 1: Asynchronous Ingestion
CapMeter connects to your cloud environment through a secure, read-only integration that runs completely outside your live application stack. Relevant usage signals are captured continuously and organized by customer, workload, and model, with zero added latency or impact on your running systems.
Stage 2: Context Mapping
Our processing engine connects AI usage activity to your customer and revenue context. Every unit of consumption is translated into a clear, real-time financial signal. You always know which accounts are profitable and which are not generating returns.
Stage 3: Policy Enforcement
CapMeter continuously monitors consumption patterns for unusual or runaway activity. When a threshold is breached, automated alerts and mitigation signals are dispatched within seconds. Act before costs compound into a serious problem.
See it in action
Join early access and have your first margin data live in under 10 minutes.
Why CapMeter
Why not just use cloud provider tools?
Infrastructure tools measure consumption.
CapMeter Lens measures economics, connecting AI usage, customer activity, and revenue to reveal profitability in real time.
Four Architectural Realities Beyond Infrastructure Management
Infrastructure platforms excel at running applications efficiently and at scale. However, they were not designed to govern business intent, enforce consumption policies, or manage application-level accountability. CapMeter provides the governance layer that bridges this gap, enabling organizations to control AI consumption, enforce policies, and maintain operational accountability.
The multi-tenant blind spot
The reality: Native cloud providers operate at the core infrastructure layer. They track your application's master service accounts but have no visibility into your internal application database. They cannot distinguish between API requests made by ABC Corp or XYZ Enterprises.
The CapMeter advantage: CapMeter crosses this architectural boundary cleanly. We restore complete per-customer visibility by intelligently connecting your application's customer identity layer to AI usage data - without touching your production environment.
Delayed billing data
The reality: Cloud infrastructure billing data is designed for retrospective accounting. Usage metrics are batched and processed over a 24 to 48 hour window. If an autonomous agent enters an unoptimized recursive loop, a native budget alert often will not trigger until the financial exposure has already occurred.
The CapMeter advantage: CapMeter detects cost anomalies in real time, not after a 24 to 48 hour delay. We identify runaway consumption as it happens, shifting your anomaly detection window from days to under 90 seconds of occurrence.
The single-cloud boundary
The reality: By commercial design, cloud provider consoles are built to monitor their own native ecosystems. They cannot give you a single pane of glass that aggregates spend across separate providers like OpenAI, Anthropic, or AWS Bedrock.
The CapMeter advantage: Modern SaaS products use a hybrid matrix of specialized AI models. CapMeter acts as an independent, cloud-agnostic ledger that aggregates AI usage data from every major LLM provider into one unified, elegant control center.
The revenue data gap
The reality: To calculate true unit economics, a system must understand both sides of the ledger - costs and income. Because your cloud provider has no access to your customer subscription structures or Stripe revenue metrics, it can only show you gross infrastructure costs - never your actual profit margins.
The CapMeter advantage: CapMeter seamlessly bridges this gap. By intelligently connecting your AI usage data with your customer subscription revenue, we provide the definitive real-time gross margin calculation per customer that finance and product teams need to grow profitably at scale.
The CapMeter Position
Cloud providers excel at what they do: managing infrastructure at global scale.
CapMeter solves a fundamentally different problem.
We provide immediate, real-time visibility into your unit economics - revealing exactly which customer accounts are driving profitability and which are silently eroding your SaaS margins.
Features
Everything you need to protect your margins
Built specifically for SaaS companies running AI features - not a generic FinOps tool with an AI sticker on it.
CapMeter Lens features
Per-tenant gross margin dashboard
Real-time visual tracking of customer profitability, instantly highlighting which customer accounts are margin-positive and which are margin-negative.
Feature-level cost attribution
Breaks down cloud consumption by specific product features or AI workflows, showing exactly which capabilities are the most expensive to run.
Autonomous loop and waste alerts
Detects runaway AI agent behavior such as infinite loops or redundant retries and alerts your team before they inflate cloud costs.
Budget threshold warnings
Proactive notifications when a specific tenant or feature approaches its allocated infrastructure cost budget, before the limit is breached.
Cloud-native asynchronous ingestion
Zero-config onboarding by pulling telemetry directly from cloud infrastructure, requiring no changes to production code or live systems.
Revenue integration
Automatically cross-references your subscription revenue data with token consumption, with no manual spreadsheets or reconciliation needed.
Product roadmap
Built to grow with you
See the problem first. Fix the billing model next.
Coming soon
CapMeter Lens
Real-time AI margin observability for SaaS CPOs and CFOs.
Per-tenant gross margin dashboard
Feature-level cost attribution
Autonomous loop and waste alerts
Budget threshold warnings
Cloud-native asynchronous ingestion
Up next
CapMeter Ledger
Financial intelligence and calculation engine for AI unit economics.
Asynchronous telemetry ledgering
Real-time unit cost attribution
Gross margin calculation engine
Financial guardrails and threshold enforcement
Audit-ready financial data store
Pricing
Simple pricing that scales with you
CapMeter is currently in private early access. Pricing details will be shared directly during onboarding conversations.
Early access
We are selectively onboarding SaaS companies running AI workloads on GCP
Our early access program is free. We work closely with each company to configure CapMeter for their specific AI stack and gather feedback that shapes the product.
No forms. No credit card. Just a direct conversation.
What early access includes
馃攳
Full platform access
Complete access to CapMeter Lens with no feature restrictions during the early access period.
馃
White-glove onboarding
We will personally onboard every early access customer and stay available throughout your trial.
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Shape the product
Your feedback directly influences the product roadmap and pricing structure before public launch.
About
San Jose, CA
Hari Radhakrishnan
Founder, CapMeter.ai 路 EdgeAisle LLC
Before founding CapMeter.ai, I spent over two decades designing enterprise SaaS platforms, data systems, and operational foundations for complex organizations. I then spent 7+ years at Google, where I helped build and scale the infrastructure behind a multi-billion-dollar Android partner ecosystem, including monetization programs and the operational infrastructure that supported them.
I founded CapMeter to address a growing gap in the AI era. While companies understand their revenue and system performance, they often lack visibility into the true cost of their AI operations. As LLM-powered workflows and autonomous agents move into production, hidden inefficiencies can quickly erode margins and hinder scalability.
CapMeter provides a critical visibility layer between AI operations and business outcomes, enabling organizations to understand, govern, and optimize AI economics at scale.
"I spent my career scaling billion-dollar infrastructure. Now I am building the framework that protects your AI margins."
