Scaffold provides an AI-powered platform that continuously extracts and standardizes data from multiple homebuilder portals, automatically syncing schedules, purchase orders, and job coordination for residential specialty contractors and suppliers. The system applies user-defined business rules, flags inconsistencies in real time, and maintains an immutable audit log of all changes across systems.
Funding
Funding not disclosed
Founders
Product
Problem
Residential specialty contractors and suppliers must manually extract and reconcile data from multiple homebuilder portals, leading to frequent errors, duplicated effort, and delayed job coordination.
Solution
Scaffold uses an AI engine to continuously monitor builder portals, translate unstructured data into a standardized format, and automatically update schedules, purchase orders, and job coordination workflows. Users define business rules, and the system flags inconsistencies before they affect field operations. An immutable audit log records every change across portals and internal systems, providing a complete historical view of orders and documents. The platform runs in the background, reducing the need for manual data entry and enabling faster, more reliable project execution.
Target Audience
Primary customers are residential specialty contractors and material suppliers who need to manage large volumes of builder data across multiple portals.
Features
- AI-driven data extraction that converts messy builder information into clean, structured records
- Automated synchronization of schedules, purchase orders, and job coordination based on user-defined business rules
- Continuous background monitoring of builder portals to detect and flag data inconsistencies in real time
- Comprehensive audit log that captures every change across external portals and internal systems, with versioned document history
- Integration layer that maps extracted data to the contractor’s existing software ecosystem