Founder-led beta • Shipping weekly

Track which customers are profitable vs. underwater

Sleep soundly. Your AI costs won't surprise you.

  • Track: Pull in AI usage costs from any source
  • Translate: See margin per customer - who's profitable, who's underwater
  • Simulate: Model pricing changes before you ship them
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Customer margin dashboard showing profitable vs underwater accounts

AI companies are learning hard lessons about unit economics. Here's what they're teaching us.

AI apps have 10-100x cost variance per user - most teams discover margin problems 6 months too late.

"We can't track which customers are profitable - it's too complex"

The Challenge

One customer burns $12K/month on a $200 plan while another uses $50 on $500. Calculating per-customer margins across provider invoices and usage logs is too complex - teams just give up.

Our Solution

Instant per-customer margin calculations. Identify underwater accounts and adjust pricing before they sink your margins.

"I spent two days building spreadsheets for our financial review"

The Challenge

Cost data lives in AWS CSVs, OpenAI usage logs, Anthropic bills, and Stripe revenue. Reconciling manually takes days per month.

Our Solution

Automated cost ingestion and margin reports get you export-ready data in minutes.

"We can't forecast power user costs"

The Challenge

In traditional SaaS, costs are predictable. In AI, one power user can cost 100x your median - and wipe out your margins entirely.

Our Solution

Track per-customer usage trends to forecast costs and steer pricing strategy - before power users blow up your margins.

"Our power users know something we don't"

The Challenge

High-margin customers have cracked the code on getting value from your product. Without identifying them, you can't learn their patterns -or replicate them.

Our Solution

Identify your most profitable users, learn what drives their success, and guide the rest of your customers toward the same outcome.

Growth looks great - until you check the margins.

Users are signing up, revenue is climbing, everything seems fine. But with AI, more users often means more losses. We help you find the inflection point where your pricing strategy needs to change - before it's too late.

Hidden costs lurking below the surface - illustration of underwater margin problems

See the problem, test the fix, protect your runway.

How it works

See which customers cost more than they pay, simulate pricing changes, and make decisions you can defend to investors.

1

Track usage costs

Pull in your AI costs - CSVs, invoices, API logs, whatever you have. We'll help you get it structured.

Cost ingestion pipeline

Connect your billing and cost sources. We build what you need during onboarding.

2

See margin per customer

Translate raw costs into per-customer margins. See who's profitable, who's underwater, and by how much.

Customer margin dashboards

Drill down by plan, model, or time period with investor-ready exports.

3

Simulate pricing changes

Model new pricing strategies against your real data. See the impact before you ship anything.

Pricing scenario studio

Blend subscription minimums, usage blocks, and credit windows to find pricing that protects margin.

Forecasting & cash planning

ARR projections, churn signals, and cash timing - so finance can steer before board meetings.

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Know which customers are profitable. Instantly.

See Your Margins in Real-Time

Stop guessing. Track revenue, costs, and margins for every customer in real-time. Identify your power users before they burn your runway.

Customer margin table with detailed breakdown by customer showing usage, revenue, costs, and profit margins

Customer-level breakdown: Track every customer's usage, revenue, costs, and margins

Built for AI SaaS companies

AI usage is unpredictable. Track costs, set limits, protect margins.

AI SaaS with Power Users

Top 10% of users consume 90% of infrastructure costs

Real Example:
Your cheapest plan has your most expensive user
Our Solution:

Customer-level margin dashboards, usage cap modeling, real-time alerts when accounts go negative

API-First AI Tools

Token consumption varies 1000x per user, unlimited plans break

Real Example:
Revenue looks good until you subtract OpenAI/Anthropic bills
Our Solution:

Real-time token metering, cost-per-endpoint visibility, automated margin alerts

Freemium AI Products

Free tier costs exceed paid tier revenue

Real Example:
$2 median cost, $200 at 99th percentile -free users bankrupt you
Our Solution:

Margin by tier (Free/Basic/Pro), conversion path modeling, profitability thresholds

AI Agents & Workflows

Autonomous loops spike usage unpredictably

Real Example:
Customer hits $8K in costs overnight on a $500 monthly plan
Our Solution:

Time-windowed credit pools (hourly/daily/weekly), overage alerts, automated usage caps

Frequently Asked Questions

Stop guessing. Start knowing.

Founder note

Most AI companies are either overcharging cautious users or bleeding money on power users. I'm building the tools so you can price based on what things actually cost—fair for customers, sustainable for you.

— Blaise, Founder @ Bear Billing

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