TORUS provides AI‑powered agents that ingest engineering specifications, P&IDs, HMBs, and datasheets for capital projects, automatically extracting parameters and mapping cross‑document relationships. The system flags inconsistencies—such as mismatched design pressures or code editions—and surfaces them to engineers for consistency checks and to project managers for workflow automation, streamlining review and approval processes across large engineering teams.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams on large capital projects must manually compare specifications, P&IDs, heat and material balances (HMBs), and datasheets, a process that is time‑consuming and prone to missed inconsistencies or code‑edition mismatches.
Solution
Torus offers AI‑driven agents that ingest all project documents, extract every engineering parameter, and automatically map relationships across specs, drawings, and datasheets. The system continuously cross‑references values such as design pressures, equipment ratings, and code editions, generating real‑time consistency flags for engineers and workflow recommendations for project managers. Alerts are prioritized by severity, enabling rapid resolution of critical conflicts while preserving design intent. Integrated approval routing lets managers review flagged items, approve recommendations, and update the document set without leaving the platform. By automating this review loop, Torus reduces manual effort, lowers the risk of design errors, and accelerates project delivery.
Target Audience
Primary users are engineering and project management teams working on capital‑intensive infrastructure projects such as power substations, petrochemical plants, and large‑scale industrial facilities.
Features
- Automatic parameter extraction from PDFs, CAD files, and spreadsheets across multiple document types
- Cross‑document relationship engine that detects mismatches in pressures, ratings, code editions, and other engineering attributes
- Real‑time consistency alerts categorized by severity (critical, warning) with visual flagging in a review queue
- Workflow automation for project managers, including approval routing, recommendation generation, and document version tracking
- Confidence scoring for each flagged issue to prioritize review effort
- Ability to adopt firm‑specific naming conventions and reference standards for seamless integration with existing processes