Orbiseed
Orbiseed provides Sheet 01, an AI-powered intelligence infrastructure that automates the preconstruction workflow from specification to quote to submittal. The platform extracts product data from construction documents with 99.6% accuracy in 20–25 seconds, then matches items against manufacturer catalogs and generates quotes and submittals. It has processed over 100,000 documents and integrates with CRM systems.
- Construction Technology
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Preconstruction teams spend hours manually searching for product data across drawings, specifications, O&M manuals, cut sheets, emails, and images. This manual process is slow, error-prone, and disrupts the continuous workflow from specification to quote to submittal, creating bottlenecks and delaying project timelines.
Solution
Sheet 01 provides AI-powered intelligence infrastructure that automates the preconstruction workflow from spec to quote to submittal in one continuous system. The platform uses document intelligence to extract product data from complex construction documents with 99.6% accuracy in 20–25 seconds, then constructs relationships between extracted items, groups them into logical tags, and matches them against manufacturer catalogs. It identifies direct matches, cross-references related products, flags items for review, and excludes irrelevant entries automatically. Each stage—email intake, AI extraction, catalog matching, cross-referencing, quoting, submittal generation, and CRM handoff—feeds into the next, ensuring all capabilities operate as one integrated workflow that becomes smarter with every quote processed.
Target Audience
Primary customers are preconstruction teams, estimators, and specification professionals in the construction and building products industry who need to streamline product data extraction and quote generation workflows.
Features
- AI extraction engine that processes drawings, specs, O&M manuals, cut sheets, emails, and images with 99.6% accuracy in 20–25 seconds
- Automated relationship construction that groups extracted products into logical tags and categories
- Catalog matching that identifies direct matches, cross-references related products, and flags uncertain items for human review
- End-to-end workflow automation covering email intake, extraction, matching, cross-referencing, quoting, submittal generation, and CRM integration
- Continuous learning system that improves matching and cross-referencing accuracy with every quote processed
- Platform has processed over 100,000 documents, demonstrating production-scale reliability