Pricing & monetization
A CRM-trained forecast of willingness to pay. Set the price and terms that maximize profit, not the discount that merely closes.
- Win-probability by price point
- Discount guardrails
- Term and payment-plan design
B2B Agent forecasts which subscriptions close, which customers pay, and which fail — then sets price, terms, and risk to maximize profit on every deal.
Platform
Pricing, underwriting, and collections read the same prediction — so every team acts on the same numbers.
A CRM-trained forecast of willingness to pay. Set the price and terms that maximize profit, not the discount that merely closes.
Credit bureau, commercial, and payment signals scored before terms are offered. Approve the buyers the forecast says will pay.
Collections, payments, and delinquency on the same forecast the models act on — so operators see problems before profit leaks.
How it works
Every forecast is scored against what actually happened, and the next decision learns from that record.
CRM, credit, and payment data unified in one place.
Buyer risk scored before any terms are offered.
The offer with the highest expected profit.
Wins, payments, and losses retrain the forecast.
Rev LLM
Rev LLM is the private language model behind B2B Agent. It runs on our own servers, so your deals, credit files, and customer data are never sent to OpenAI, Anthropic, or any other outside AI provider.
Compare 79 lenders, investors, and programs — B2B BNPL, revenue-based financing, venture debt, banks, factoring, equity, and grants — priced against your company.
Or just ask in plain English: “We need $200K in 3 weeks to cover payroll, $1.5M ARR, Texas.” You get a shortlist in under a second, drawn only from our lender catalog.