EngMind analyzes engineering drawings using AI to support and enhance engineers' reviews, making them faster, more accurate, and more consistent.
Six tabs. One auditable workflow.
Capital projects generate hundreds to thousands of engineering drawings, each one needing review against codes, project specifications, and cross-discipline interfaces. The process is manual, slow, and increasingly fragile.
Every finding ships with a problem statement, the standard reference, the affected components, and a cropped drawing zone showing exactly where the issue lives. Reviewers stamp Approved, Hold, or Reject, and the system tracks the audit trail.
Every drawing review on a capital project flows through one of four roles. EngMind multiplies senior-engineer review capacity for all of them, anchored to the same Design Codes and Project Specifications.
Reading PDFs is easy. Reasoning over engineering drawings the way a senior reviewer does, with discipline depth, standards literacy, and accountability, is not.
EngMind is delivered through a tailored commercial model built around the engineering modules and capabilities each project actually needs. Pricing is scoped per project envelope, per module mix, and per analysis volume — so it reflects real engineering economics, not a fixed seat list. We meet customers where their procurement and project budgets already are.
Request a QuoteTell us which modules and capabilities are in scope. We respond within two business days.
EngMind is raising a pre-seed round to scale module coverage and deploy with founding-design partners across Tier 1 operators and EPC firms. Investor materials available under NDA.