Submittal Log Checker for Electrical Subcontractors

The evidence

Score: 34 out of 100

• No opening found
• 47 pay or would pay
• 575 people describe it
• 63% hit it at least weekly
• 5.2K upvotes on their posts

Subs may not see the full GC submittal log in Procore, and Fieldwire and Pelles already extract spec lists.

In their words

the spec reading eats the most time, all the submittals and exclusions buried in 150 pages

r/estimators on Reddit

They put “no comments” on like 90% of the electrical submittals even when I find glaring issues like the manufacturer isn’t listed in the approved manufacturers in our specs.

r/MEPEngineering on Reddit

The tools that already cover it

• Fieldwire Submittal Extractor: Builds a sub's own log from the spec, live since May 2025; nothing on its pages compares it against a log from the general contractor.
• Procore Submittal Builder and Submittal Review Agent: Review Agent checks incoming submittals against the spec book, not whether the log is complete; the log builder works inside the general contractor's account.
• Trunk Tools (TrunkRegister, TrunkSubmittal): TrunkRegister reads a whole spec book and sorts items into action, informational and closeout; sold by demo, with no published tier for a 40-person sub.
• Pelles: Closest threat: targets electrical among all trades with spec-cited logs and compare tools; no self-serve tier and no page about auditing a general contractor's log.
• Document Crunch: CrunchAI for Specifications lists spec items for subcontractors (a testimonial says 'in minutes instead of hours'); it is not an audit of a log the sub received.
• Flikt.AI: Checks drawings against specs, not the submittal log; proves one-time per-project pricing exists for MEP buyers.
• Part3: Architect-side submittal review, the wrong side of the table for a subcontractor.

How it was challenged

• Demand is a builder anecdote: the posts never say electrical or subcontractor, and 3 of 5 spec pains come from automation forums.
• The 600 to 1 000 page figure is the whole book; an electrical sub reads only its divisions plus general requirements, so the saving per job is likely days, not weeks.
• The input is the hard part: a Procore collaborator may only see items assigned to it, so the sub may be unable to export the full general contractor log.
• The audit is a thin compare step on commodity extraction: Fieldwire's extractor costs $39 a user, Document Crunch has a free trial, and any vendor could add it.
• The ceiling is low: $250k a year at $299 a job needs about 836 audits, and reaching busy project managers by cold email is slow and costly.

The pain point it solves: Unreliable PDF to JSON

High-volume PDF extraction pipelines fail to reliably convert dense, inconsistent, and messy documents into accurate structured JSON, breaking downstream AI and RAG systems.

RAG and document pipeline developers

Where they talk

• r/Rag
• r/LLMDevs
• r/LocalLLaMA
• r/documentAutomation
• r/LocalLLM
• r/LangChain
• r/AI_Agents
• r/Python

Tools they use today

• Docling
• PyMuPDF
• Claude
• Qwen
• llamaparse
• pdfplumber
• Python
• Excel

Why those fall short

• Traditional OCR only good for free text; structured outputs miss unasked details
• parser messes up tables, headers, footnotes or multi-column text
• Docling gets the grid, loses the semantics; letter-spacing damage in LaTeX
• AI hallucinates numbers or misaligns columns when formatting changes page-by-page
• VLMs fail quietly, get numbers wrong, drop rows, break LaTeX