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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) raised 🏢 Established

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 This Tool Exists

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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.

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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.

How You Use It

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Delivery Method

SaaS API

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Integrations

Bill.com QuickBooks Online NexusPayables MRI Yardi Voyager AvidXChange

Disciplines

Construction, Owner/Developer

Project Phases

Bidding/Procurement, Construction Administration, Operations/FM

Project Types

Commercial, Residential, Mixed-Use, Infrastructure, Institutional

Data Transparency

Exactly what this tool uses and how

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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)

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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

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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)

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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

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API

Integration

Endpoint: https://rabbet.com/developers/integrations (contact for API details)

Method: REST API (specific endpoints not publicly documented)

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

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

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (10)

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Verified Data (18)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, pricing, vendor, website, maturityStage, yearFounded, customerBase, input-output-specs, control-features, useCases, funding-total, algorithm-overview

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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

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.