OneQlue offers a unified platform that ingests engineering data from ERP, PLM, CAD, QMS, DMS and file servers, parses multiple file formats and creates an AI‑driven semantic knowledge graph. Users can search across all systems with natural‑language queries, interact via chat interfaces, and automate workflows while maintaining role‑based access control and flexible deployment options.
Funding
Funding not disclosed
Founders
Product
Problem
SMEs and mid‑size industrial/R&D companies often operate with a patchwork of disconnected systems—ERP, PLM, CAD, QMS, DMS, SharePoint, and file servers—making engineering data fragmented and hard to locate. Knowledge workers can spend up to 30% of their time searching for information across these silos, slowing decision‑making and product development.
Solution
OneQlue provides a unified platform that ingests data from a wide range of enterprise sources, parses multiple file formats (including documents, 2D drawings, 3D models, BOMs, and SOPs), and builds a semantic layer using AI‑generated embeddings. This layer forms a contextual, queryable knowledge graph that links data and processes across systems. Users can search the graph with natural‑language queries, interact via chat‑style interfaces, and trigger automated workflows directly in the connected applications. The platform is available as SaaS or on‑premises with air‑gapped deployment options and enforces dynamic, role‑based access control aligned with existing IT policies.
Target Audience
Primary customers are engineering and product development teams within SMEs and mid‑size R&D organizations that rely on multiple enterprise systems to manage design, manufacturing, and quality data.
Features
- Multi‑format parsing of documents, technical drawings, 3D CAD models, ERP data, and versioned specifications
- Native integrations with ERP, PLM, DMS, SharePoint, and file servers for seamless data ingestion
- AI‑driven semantic search and conversational agents that understand context and relationships across engineering data
- Queryable knowledge graph built from embeddings, enabling cross‑system insights and traceability
- Workflow automation through domain‑specific AI agents that can create content, generate reports, or trigger actions in enterprise systems
- Flexible deployment models: cloud SaaS, on‑premises, or air‑gapped installations for high‑security environments
- Dynamic, role‑based permission management that integrates with existing access control frameworks