PredictAP
Automatically codes invoices during upload for real estate accounts payable teams.
≈ 159visits/mo
Emerging · estimate, read 2026-09-28
- For
- Real estate accounts payable teams processing invoices across centralized, distributed, and property management operations
- Price
- Price not read
- Activity
- Actively maintainedsite updated 3 days ago
- Company
- PredictAP, Inc. · since 2020site footer · per Wikidata
- Runs as
- APINo-code
- code invoices automatically during upload for faster approval
- reduce invoice processing time from days to hours
- process larger invoice volumes without hiring additional staff
- Founded2020per Wikidata
- Domain since2019domain registered
- Raised$9.8M · Form Dper SEC filings · 2024-12 ↗
- HeadquartersBostonper Wikidata
- Industrysoftware industryper Wikidata
- Run byPredictAP, Inc.site footer ↗
- Privacy policy updated2021-02-01privacy policy ↗
These are PredictAP's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
Figure and bar: visits/mo, estimate · year: online since
- #1
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Digits
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Zeni
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DualEntry
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11.3kActiveContact sales2024 - #6
Final POS
Builds custom point-of-sale systems for any device without coding.
7kActiveFrom $2.49 per use2023
What is PredictAP?
Automatically codes invoices during upload for real estate accounts payable teams. It is listed in the Atlas under Finance and made by PredictAP, Inc.
Who is PredictAP for?
Real estate accounts payable teams processing invoices across centralized, distributed, and property management operations
Do people use PredictAP?
Emerging: ≈ 159 visits/mo · estimate, 2026-09.
Is PredictAP still maintained?
Actively maintained: site updated 3 days ago.
Who owns PredictAP?
PredictAP is run by PredictAP, Inc., per its site footer (2026-10-08).
What are alternatives to PredictAP?
In Finance, by use: Ramp, Invoice Fly, Digits, Zeni, DualEntry, Final POS.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.