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
0
SaaS companies with real-time per-customer AI margin visibility today
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: Acme 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
Acme Corp
$500/mo
$680
-$180
Unprofitable
TechFlow Inc
$299/mo
$48
+$251
Healthy
BuilderOS
$499/mo
$390
+$109
Watch
DataPulse
$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.
CapMeter Lens reads your existing cloud logs asynchronously. No inline interception. No API keys stored. No changes to your production systems - ever.
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. No code changes. No agents to deploy. No changes to your production systems - ever.
Step 02
We map every token
CapMeter automatically maps every token consumed to a customer account, product feature, and AI agent - full cost attribution instantly.
Step 03
See your true margins
A live dashboard shows exactly which customers are profitable and which are costing you more than they pay - updated in real time.
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
We ingest your cloud telemetry logs completely out-of-band via a secure, real-time cloud integration, ensuring zero production latency is added to your core applications. CapMeter continuously isolates and indexes critical runtime context elements including Tenant ID, Token Metrics, Model ID, and Workload ID.
Stage 2: Context Mapping
Our processing engine intelligently correlates AI usage data with your customer billing records. Raw compute consumption is dynamically converted into real-time, actionable gross profit margin calculations per tenant account.
Stage 3: Programmatic Policy Enforcement
CapMeter proactively monitors consumption signatures to detect runaway recursive agent loops or unexpected contract threshold budget overages. Automated alerting signals and billing mitigation webhooks are dispatched within 60 to 90 seconds of detection to instantly secure your infrastructure margins.
See it in action
Join early access and have your first margin data live in under 10 minutes.
Why CapMeter
Why not just use Google Cloud 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 Acme Corp or Wayne 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.
The 24 to 48 hour billing data delay
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.
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 scale safely.
Capability comparison
GCP, AWS, and Azure are infrastructure platforms. CapMeter is a business intelligence layer. Different jobs. Different tools.
Capability
GCP Native
AWS Native
Azure Native
CapMeter Lens
Per-customer tenant cost attribution
No
No
No
Yes
Real-time anomaly detection (under 90 seconds)
No - 24-48 hour delay
No - 24-48 hour delay
No - 24-48 hour delay
Yes
Multi-cloud unified cost view
GCP only
AWS only
Azure only
Yes - all providers
Stripe revenue integration
No
No
No
Yes
Gross margin per customer
No
No
No
Yes
Zero production latency added
Yes
Yes
Yes
Yes
5-minute onboarding
No
No
No
Yes
Boardroom-ready CPO/CFO dashboard
No
No
No
Yes
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-customer margin tracking
See the exact gross margin for every customer account after AI token costs are deducted. Know who is profitable at a glance.
Agent loop detection
Automatically detects when an AI agent is stuck in a repetitive loop and sends an instant Slack alert before costs spiral.
Stripe revenue integration
Automatically cross-references your Stripe subscription data with token consumption - no manual spreadsheets ever again.
Feature-level cost attribution
Break down AI costs by product feature - so you know exactly which feature is eating margin and which is profitable.
Budget threshold alerts
Set hard weekly or monthly dollar limits per agent, per feature, or per customer tier. Get alerted before the limit is hit.
Zero production risk
No changes to your production systems. No API keys stored. Connect in minutes and stay completely risk-free.
Multi-cloud support
Works with GCP Vertex AI, AWS Bedrock, Azure OpenAI, and self-hosted models. One unified dashboard for all providers.
5-minute onboarding
Simple self-serve setup for any developer. No code changes. No agents to deploy. First insight in under 10 minutes.
Product roadmap
Built to grow with you
See the problem first. Fix the billing model next.
Coming soon
CapMeter Lens
Real-time AI margin intelligence for SaaS CPOs and CFOs.
Per-customer gross margin dashboard
Agent loop detection with Slack alerts
Stripe revenue integration
5-minute onboarding - zero production changes
Budget threshold alerts
Up next
CapMeter Ledger
Usage-based billing engine - charge by actual AI consumption not flat seats.
Metered billing per AI agent task
Per-tenant usage caps and overages
Stripe metered subscription management
Billing anomaly detection and audit trail
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.
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."
