PredictAP Description
Revolutionize your real estate accounts payable with AI-driven invoice capture solutions tailored for the industry. PredictAP accelerates the coding of invoices upon upload, ensuring they are primed for swift review and approval within seconds. The average invoice processing timeline is significantly reduced from 11 days to just 3 days for most users. This efficient method allows teams to handle a greater volume of invoices without the need for additional hires. Enhance your accounts payable operations with the Intelligent Invoice Capture™ solution, which produces tangible results in just weeks instead of months. Empower your existing team to manage larger workloads in a shorter timeframe, allowing them to concentrate on tasks that drive revenue and offer greater value. Establish a unified and consistent coding strategy across all teams, facilitated by a streamlined, one-step AI-powered invoice ingestion and classification process. Benefit from the robust stability, scalability, and processing capabilities of AWS, along with direct API integration for effortless and secure data synchronization. Each fully coded invoice can be submitted directly to your current accounts payable automation system, or you can conveniently email new invoices to PredictAP's dedicated inbox for processing. With these innovations, your AP team will operate more efficiently and effectively, leading to improved financial management overall.
Pricing
Flat plan: starts at $1,500/month for up to 1,000 invoices per month. A predictable cost for teams with steady volume.
Volume-based plan: starts at $1.60 per invoice. The per-invoice rate goes down as committed volume grows, so it fits higher-volume portfolios.
Every plan includes native ERP integration, secure two-way sync, confidence-based coding review, real time duplicate detection, and a dedicated support contact. Most customers are live within weeks, with no separate IT project.
Contact PredictAP for a quote based on your invoice volume and portfolio.
Company Details
Product Details
PredictAP Features and Options
Accounts Payable Software
PredictAP User Reviews
Write a Review-
Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Invoice coding that actually works with Yardi Date: Jul 15 2026
Summary: We are a global institutional real estate firm with a many entities and invoices, and coding invoices can take up lots of time without the proper tools. PredictAP creates efficiency and consistency. Data on the invoices is captured and coded automatically, allocations are handled correctly, and everything syncs straight into Yardi. Month-end close is noticeably calmer. If you run AP on Yardi and deal with complicated coding or Canadian invoices, this is worth a serious look.
Positive: The Yardi integration is the standout. Invoices come in, PredictAP codes them, and they land in Yardi PayScan ready for approval with no retyping. It picks up GL coding patterns quickly, including multi-line invoices with allocations across several properties and entities. It also handles American and Canadian invoices and tax items like Canadian HST and GST correctly, which is often a pain point. Implementation was fast and the support team knows what they are doing - they are real estate accounting experts.
Negative: A truly unusual invoice format will occasionally need a quick manual review, though the system learns from the correction and gets it right the next time.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
SVP/National PM Date: Jul 15 2026
Summary: There is not another product out there that can do what PredictAP can do in the AP coding space. Coding is repetitive, rule-based and benefits greatly from Machine learning. The biggest value is and ROI implications is getting PM to stop performing data-entry and spend more time analyzing.
Positive: It is fast, handles coding and allocations instantly, super easy connection to Yardi and 30 days to full implementation.
Negative: New vendors or properties, unusual invoices, capital projects, and one-off expenses still require review but understandably so.
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