PredictAP

PredictAP is an AI invoice capture and coding platform built specifically for commercial real estate accounts payable. It ingests invoices from email, portals, and scans, then applies the full accounting coding (GL account, property, entity, cost center, job code, and multi line allocations) before the invoice enters the approval workflow.

Most AP automation platforms are payment platforms. Their revenue comes from moving money, so coding is treated as the step that gets an invoice to a payable state rather than the problem itself. That works when coding is simple. In commercial real estate it rarely is. A single invoice can split across dozens of properties, cross entities, require segment breakouts, or depend on CAM recoverability rules. PredictAP is built for organizations where that coding work, not the payment run, is what consumes the AP team.

Rather than applying a static rule set, PredictAP learns from an organization's own coding history. Typical deployments automate 70 to 80 percent of coding at launch and improve as the system learns.

Command Center lets teams work invoices across multiple Yardi or MRI databases from a single queue, which suits third party property managers and outsourced accounting providers handling many clients with different charts of accounts.

PredictAP integrates with Yardi (Standard Interface Partner with Payables API access), Bottomline NexusPayables, and ResMan. It layers onto an existing ERP, approval workflow, and payment provider rather than replacing them, so teams keep the payment relationship they already have.

Used by 120+ real estate organizations processing over 6.5 million invoices annually across office, industrial, retail, multifamily, single family, senior living, and data center portfolios. PredictAP ranked #256 overall and #18 in AI on the 2026 Inc. 5000 list.