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Rabbet

Construction finance and loan administration automation

AI-powered platform for real estate developers, lenders, and loan servicers that centralizes construction loan operations through document management, automated draw packaging, budget tracking, and compliance monitoring.

$8.12M (Series A, Feb 2019) raisedEstablished
Founded 2017 · Manages $100B+ in real estate capital; customers include Berkadia, Stream Realty, AIG, Kairoi Residential, QuickDraw, Windsor Advantage, FD Stonewater, Anchor Loans, and Greystone Servicing Company
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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction lenders and loan servicers spend hundreds of hours manually reviewing draw requests, extracting data from PDFs and emails, verifying compliance with loan covenants, and preparing draw packages. This process is error-prone, slow, and creates bottlenecks in loan processing.

The Solution

Rabbet uses optical character recognition, computer vision, and machine learning to automatically extract data from construction loan documents, validate compliance against loan covenants using rule-based logic, and assemble complete draw packages. The platform also enables real-time collaboration and provides predictive alerts for project risks.

USAGE

How You Use It

Delivery Method
SaaSAPI
Integrations
Bill.comQuickBooks OnlineNexusPayablesMRIYardi VoyagerAvidXChange
Disciplines
Construction
Workflows
Estimating & Cost, Coordination & Delivery, Data & Automation
Project Phases
Bidding/Procurement, Construction Administration, Operations/FM
Project Types
Commercial, Residential, Mixed-Use, Infrastructure, Institutional
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Construction loan draw requests, Project budgets, Loan documents and covenants
Optional:Project schedules, Invoice documents, Lien waivers, Compliance checklists
Formats:PDF, Email, Excel, JSON (via API)
Output
What you get
Format:Draw packages with compliance verification, project reports, and alerts
Fields:Draw package status, Budget variance analysis, Covenant compliance status, Risk alerts, Project cash flow projections, Missing document flags
Algorithm
How it works
Model:Proprietary machine learning with optical character recognition and rule-based logic
Accuracy:Not publicly specified (company claims significant reduction in manual review time from thousands of hours to automated processing)
Privacy
How your data is protected
Retention:Retained as long as necessary for purposes outlined in privacy policy and commercially reasonable time thereafter for backup, archival, fraud prevention, or legal compliance
Training:Data usage for training not publicly specified; may be used for service improvement
Compliance:SOC 2 (claimed in privacy policy, report not publicly available), GDPR compliant for EU residents
API
Integration
Endpoint:https://rabbet.com/developers/integrations (contact for API details)
Method:REST API (specific endpoints not publicly documented)
USE CASES

Use Cases

  • ·Automated construction draw processing and packaging for lenders
  • ·Real-time loan covenant compliance monitoring across portfolios
  • ·Budget tracking and cost overrun detection for development projects
  • ·Centralized document management for construction loans
  • ·Draw approval workflow automation for loan servicers
  • ·Project risk identification and early warning alerts
  • ·Portfolio-level cash flow projections and forecasting
  • ·Compliance reporting and audit trail generation
PRICING

Pricing

Free
No free tier (contact for trial)
Pro
$120-$215 per draw (Lite, Standard, Premium tiers based on per-draw billing)
Enterprise
Custom Enterprise Plans with dedicated implementation, custom integrations, and specialized reporting
Sources & Research NotesResearch date: 2026-02-01
Data Sources (10)
Fields Checked (18)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, pricing, vendor, website, maturityStage, yearFounded, customerBase, input-output-specs, control-features, useCases, funding-total, algorithm-overview
Not Found (7)
api-documentation-detailed, soc2-report-public, algorithm-accuracy-metrics, rate-limiting-specs, data-retention-days-specified, training-data-usage-details, webhook-support
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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