The layer beneath your revenue tools
Limerine Platform is the data, workflow, and governance layer that sits beneath the AI revenue tools a company already owns.
What revenue infrastructure is
Revenue infrastructure is the data, workflow, and governance layer beneath a company's revenue tools. It models the company's own win history, pricing, and customer records, so that CRMs, enrichment tools, and AI agents produce output specific to that company rather than generic output.
Eight modules, one job each
Tools you already own
CRM, enrichment, sequencers, quoting, forecasting, AI agents
Pipeline creation
Find and reach the accounts worth calling, using your own signals.
Deal execution
Show who is in each deal, who is missing, and what happens next.
Pricing and quote-to-cash
Keep realized price close to list price, from quote to invoice.
Forecast, capacity and board
Forecast from your own history and report it in numbers a board accepts.
Post-sale growth
Carry what sales learned into onboarding, renewal, and expansion.
Foundation and governance
Model your revenue data once and enforce the rules that keep it clean.
People and ramp
Turn what your best sellers know into how new sellers ramp.
Transaction readiness
Keep the revenue data room ready before anyone asks for it.
How data enters and leaves
- Connectors
- Scoped connections to your CRM, enrichment, sequencing, quoting, and billing systems.
- Warehouse
- If you run a warehouse, the layer reads from it and writes back to it. Your data stays in your environment.
- Agents
- A Model Context Protocol server is planned so that AI agents can read the layer under the same permissions as people.
Governance
Rules about data quality, routing, and approvals are enforced by the layer, not by reminders. When a rule fires, it is logged, and the log is yours.
Go deeper
Start with a fixed-price diagnostic
Five questions, then a booking. You leave the diagnostic with a ranked plan you can run with us or without us.