What is PredictAP?
PredictAP distinguishes itself from traditional optical character recognition and indexing services by delivering fully coded invoices that integrate seamlessly into existing AP automation workflows. By focusing specifically on the real estate industry, the platform provides a high-precision solution that complements established systems such as Yardi Payscan and Nexus Systems. This targeted approach enables property managers and owners to achieve significant cost savings and operational productivity gains, effectively bridging the gap between manual data entry and fully autonomous financial processing.
How much funding has PredictAP raised?
PredictAP has raised a total of $13M across 2 funding rounds:
Series A
$8M
Other Financing Round
$5M
Series A (2024): $8M with participation from WISE Ventures and RET Ventures
Other Financing Round (2025): $5M led by RET Ventures and WISE Ventures
Key Investors in PredictAP
RET Ventures
A leading real estate technology investment firm, RET Ventures is the first industry-backed early-stage venture fund to strategically focus on helping build cutting-edge rent tech for multifamily and single-family rental real estate.
WISE Ventures
WISE Ventures is an investment group dedicated to fostering innovative businesses in the sports, media, entertainment, and real estate sectors, leveraging extensive industry networks to drive growth.
What's next for PredictAP?
With this major enterprise-level funding, PredictAP is poised to scale its operations and deepen its integration capabilities across the real estate technology stack. The strategic backing from industry-focused investors suggests a roadmap centered on market penetration and the refinement of its proprietary machine learning models. As the demand for automated financial infrastructure in the rental housing market continues to rise, PredictAP is expected to leverage this capital to solidify its position as a critical utility for large-scale real estate operators, potentially expanding its service offerings to address broader back-office inefficiencies.
See full PredictAP company page