Pricing Intelligence Engine
Model AI pricing changes prior to launch
Turn pricing from guesswork into informed, data-backed decisions
Run new usage fees, hybrid tiers, or credit systems against your real customer token history to see exactly how your revenue and margins shift, before anything changes for a single customer.
Runs on your real historical dataBacktests up to 12 months of usageFirst simulation in minutes
The Core Problem
Guessing Your AI Value Metric Costs You Millions.
Changing pricing is terrifying when your backend features run on volatile LLM token rates. Bear Lumen lets you test hypothetical monetization strategies against 100% real historical customer data, keeping your business safe before pushing a single change to Stripe.
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
Aggressive pricing kills adoption before it starts. You lose the land-and-expand motion that B2B SaaS depends on to scale revenue.
Legacy spreadsheets fail
Sample-data estimates cannot predict real agentic workflows. Multi-step LLM chains consume an order of magnitude more tokens than single-turn interactions.
How It Works
The 3-step simulation engine
Define the model
Configure base subscription fees, usage rates, volume tiers, or hybrid pricing structures inside the dashboard. Set the parameters for the exact scenario you want to test: per-token, per-seat, credit bundles, or overage caps.
Apply to real data
Run the proposed pricing model against your actual historical LLM token usage and cost data. No sample profiles. No synthetic datasets. Full fidelity to your real customer behavior.
See the impact
Instantly compare projected revenue, profit margins, and individual customer impacts against your current live strategy. Know the exact delta before you push a single change to Stripe.
Platform Capabilities
Every tool you need to optimize AI monetization
Historical backtesting
Core engineTake up to 12 months of recorded usage and calculate exactly how much revenue you would have captured under a per-token, per-seat, or value-based model.
Hybrid tier designer
Pricing studioMix and match flat-rate SaaS limits with overage usage billing to see which combinations yield the healthiest unit economics and the most predictable revenue.
Customer cohort breakdown
SegmentationIdentify exactly which customers would see price increases or decreases under a new model, giving your sales team time to prepare account management strategies.
LLM provider price swaps
Stack intelligenceModel how shifting from an expensive frontier model to a cheaper open-source alternative changes overall software profitability at each customer tier.
Impact Metrics
See the revenue delta before you commit.
Zero Risk Projections
Eliminate the fear of unexpected margin erosion on launch day.
Optimize Unit Economics
Identify hidden opportunities to bundle features or introduce fair-use guardrails.
Take the guesswork out of your AI packaging.
Run your first pricing simulation against your own usage history. No production changes, no customer impact, just the numbers.
Free trial. Cancel anytime. Set up in minutes.