Generic OCR fails on technical drawings. Generic LLMs hallucinate on engineering tables. RedMark is built differently — a custom OCR pipeline, computer vision trained on tens of thousands of industry drawings, and reasoning models tuned for engineering rules. Together, they read drawings the way your senior engineers do.
Security, reliability, and explainability — the three things we found hard to achieve with a pure LLM approach, so we didn't build one.
Computer vision, OCR and deterministic logic extract and structure the drawing locally, before an LLM is involved. Only minimal, context-free metadata is sent to it — your original drawings, title blocks, company names and project details are never transmitted.
See the security modelEngineering rules are applied deterministically, not inferred. RedMark recalculates values from first principles — heater sizes from airflow and ΔT, MOCP against panel schedules — so a result either computes or it doesn't. The LLM is never the system of record.
Every check produces a coordination view showing the two sources RedMark compared — detected issues in red, identified equipment in green. Rather than asking you to trust a black-box decision, we show exactly how each conclusion was reached.
See it on a drawingReads what others miss: rotated text, dense schedules, layered CAD output, tables. Tuned on tens of thousands of M&E drawings — built where generic engines fall over on rotated, low-contrast, and layered text.
Recognises VAVs, panel schedules, diffusers, valves, instruments, symbols, and callouts native to MEP and P&ID. Not generic shape detection — discipline-specific.
Cross-validates against rules — keynote completeness, schedule-vs-plan coordination, panel-power-plan integrity, panel load limits, feeder-to-breaker integrity. LLMs handle narrow text tasks; the system of record is deterministic rule logic.
Custom OCR + computer vision tuned on tens of thousands of real M&E drawings — built where generic engines fall over on rotated, low-contrast, and layered CAD text.
Rules across mechanical, electrical, and P&ID, extended with customer-requested checks.
Validated against drawings from MEP firms across the US, Canada, UK, and Western Europe.
20 years building production AI. Texas Instruments. AutonomIQ (acquired by Sauce Labs). Most recently led a Vision-Language AI platform for manufacturing.
25+ years across MEP and manufacturing. 3M. National Laboratories. Hundreds of complex projects. Knows what your senior engineers actually check for — because he is one.
CV, OCR and deterministic logic structure the drawing first. Only minimal, context-free metadata reaches an LLM. Enterprise deployments with contractual no-training guarantees.
See our security modelBook a 30-minute session with our CTO. We'll walk you through the OCR pipeline, the CV training set, and the engineering-rule reasoning layer — and answer the questions you'd ask any AI vendor before signing.