PredictAP is a fintech company that brings AI-powered automation to one of real estate finance's most tedious tasks: coding accounts-payable invoices. Real estate operators process huge volumes of invoices across many properties, entities, and general-ledger accounts, and traditionally this coding work is slow, manual, and error-prone. PredictAP's platform uses machine learning to automatically code invoices the moment they are uploaded, delivering fully coded invoices in seconds rather than requiring AP staff to key in data by hand.
The company reports that its system codes a typical invoice in roughly 45 seconds and can reduce average invoice processing time from around eleven days to three. By automating the coding step, PredictAP helps AP teams increase capacity by two to five times without adding headcount and cuts the time spent per invoice by roughly 80%. Because the platform learns from an organization's historical coding patterns, accuracy improves over time and adapts to each operator's specific chart of accounts and entity structure.
PredictAP is purpose-built for real estate rather than offered as a generic AP tool, which lets it integrate deeply with the industry's dominant systems. It works as a layer on top of platforms like Yardi Payscan and Nexus Payables, so customers keep their existing AP and payment workflows while adding intelligent automation to the coding stage. Its customer base spans multifamily housing, office, industrial, and data-center real estate, segments where invoice volume and entity complexity make automation especially valuable.
PredictAP closed an additional $5 million in funding led by RET Ventures, with participation from Wise Ventures, both prior investors in the company. The capital supports continued expansion of its AI-driven AP automation across the real estate sector, deeper integrations, and product development as more operators look to modernize back-office finance operations and free their teams from repetitive data entry.