Capuchin
Capuchin is an AI librarian for engineering and manufacturing organizations, indexing drawings, BOMs, test reports, and other technical documents into a structured engineering database. The platform reads RFQs, matches prior programs by technical specifications, and pulls labor history from ERP systems to draft complete quotes in minutes. It also supports contract compliance and employee onboarding through natural-language queries grounded in actual project data.
- Artificial Intelligence
- Manufacturing / Industry 4.0
- AI Agents
- Enterprise Software
- Software Only
- Aerospace
- Defense Tech
- Industrial Automation
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Engineering and manufacturing organizations waste significant time searching for prior designs, test reports, and lessons learned across disconnected document repositories, PDM systems, and network drives. This fragmented knowledge often causes teams to redo work, miss reuse opportunities, and produce slow, inconsistent quotes because they cannot quickly locate historical cost actuals and technical specifications relevant to new RFQs.
Solution
Capuchin.ai is an AI librarian that indexes all engineering and company data—drawings, BOMs, test reports, CDR/PDR packages—and catalogues the engineering meaning behind each document. It builds a structured engineering database of an organization's heritage work, enabling users to ask natural-language questions and get answers grounded in actual project data. The platform reads RFQs, matches prior programs based on technical specifications like band, gain, and environment, and fetches labor history from ERP systems to draft complete quotes in minutes. Capuchin also supports contract compliance by flagging gaps and tracing deliverables to evidence in the archive, and it facilitates onboarding by providing new hires with institutional knowledge without interrupting senior staff.
Target Audience
Primary users are proposal writers, engineers, and project managers at organizations that engineer and manufacture complex hardware such as antennas, optics, magnetics, power supplies, robotics, communications equipment, and medical devices.
Features
- Automated RFQ analysis that extracts specifications (e.g., band, gain, weight, envelope) and matches them against prior programs from the engineering database
- ERP-native connectors that pull actual labor hours and cost data to generate accurate, ready-to-edit quotes with NRE and unit pricing
- Read-only, incremental connectors for SolidWorks PDM, Windchill, Microsoft 365, Teams, Outlook, and network drives that respect existing permissions
- Structured indexing of test data as measured results, capturing pass/fail status, limits, and test conditions for reuse in qualification evidence
- AI memory that catalogs programs, designs, parts, drawings, and processes into a human-friendly, auditable knowledge graph rather than a vector database
- Phased deployment approach starting inside the customer perimeter with focused document sets, scaling to automated agents for quoting and compliance workflows