Pricing Intelligence Engine
Model AI pricing changes prior to launch
Turn pricing from guesswork into informed, data-backed decisions
Replay new subscription and usage prices against recorded customer activity. See the margin impact across your business and for each customer before you change a live plan.
Watch the 80-second product tourRuns on your real historical dataCompany and customer impactNo live price change
The Core Problem
Guessing at AI pricing puts margin at risk.
Your most active customers can have very different costs. Compare proposed prices with recorded usage and costs before changing what anyone pays.
Charge too little
Power users with multi-step agentic workflows destroy your margins silently. One customer’s monthly token spend can wipe out an entire cohort’s profit.
Charge too much
A higher price can improve a replayed margin while changing real customer behavior. Compare the economics, then evaluate demand separately.
Legacy spreadsheets fail
Spreadsheets built on average usage can miss the customers and workflows responsible for the biggest costs.
How It Works
The 3-step simulation engine
Define the model
Start with a base subscription fee, flat or tiered usage components, or a percentage adjustment to an existing plan. Choose the pricing change you want to test.
Apply to real data
Replay the proposed plan against recorded customer usage and cost data. Pair it with a billing connection or revenue CSV for a meaningful current-revenue comparison.
See the impact
Compare simulated revenue and margin across the company and individual customers before changing your billing system. The replay holds recorded usage and demand constant.
Platform Capabilities
Every tool you need to optimize AI monetization
Historical backtesting
Core engineReplay recorded usage from the selected period under a different pricing plan, then compare simulated revenue and margin with the baseline.
Hybrid tier designer
Pricing studioCombine a base subscription fee with flat or tiered usage charges and compare how each plan changes customer and company economics.
Customer cohort breakdown
SegmentationSee which customers would pay more or less under a proposed plan, including accounts that remain underwater in the replay.
Model cost-rate scenarios
Cost scenariosReplay recorded model usage at hypothetical input and output rates to see the margin effect. Validate model quality and routing separately before a real switch.
Impact Metrics
See the revenue delta before you commit.
A clearer what-if
See the arithmetic at unchanged usage, then evaluate customer demand separately.
Optimize Unit Economics
Identify hidden opportunities to bundle features or introduce fair-use guardrails.
Take the guesswork out of your AI packaging.
Replay a pricing change against your usage history. Your live prices stay untouched while you compare the numbers.
Live pilot in 48 hours. Full unit-economics diagnostic by day 14.