Use Case · Document Detail Extraction Agent

Bill-of-Materials item extraction into Excel files, for faster operations.

  • 5 minper BOM, down from hours
  • 95%+accuracy on hard scans (Standard: 70-80%)
  • 1000sof BOMs, scanned easily.
  • Zerodata leakage, air-gapped
  • Any LLMyour choice, swappable

Your Excel template does not change. The custom parser is built to fill it.

The problem

Generic AI tools can't be trusted with accuracy, data security.

A spec sheet is not one table - it is pages of drawings. Revision histories, title blocks, notes, and somewhere among them the bill of materials. And every customer lays the same information out differently, under different column names.

Any generic AI tool will not help here: most of them are cloud services, or they use OCR, which gives less accuracy on hard scans. So for sensitive data the work stays manual - someone opens each file, finds the BOM, and re-types it into the quoting template, cell by cell, for every file in every enquiry.

Read the demand entry on the AI ROI Map
The approach

Three things a generic tool cannot give you.

Tap a card to read it. One at a time.

OCR vs our approachRead cell by cell, into your Excel
  • Standard OCR screenshots the whole table and lets a model guess: 70-80% on hard scans, with swapped columns nobody flags
  • We read the drawing's own geometry and transcribe every cell on its own: 95%+ accuracy
  • Human-in-loop by design: you review and correct on screen before anything reaches a quote
  • The agent learns your internal terminology and connects the terms your vendors and customers use for the same thing: Make = MFR = MFG
  • OutcomeThe best accuracy of any tool, and a custom parser built to your Excel structure.
DeploymentOn-prem. Air-gapped, if that is your standard.
  • Generic AI tools are cloud services - a non-starter for a customer's confidential spec sheet
  • AI Intime runs inside your infrastructure: your site, your private cloud, or fully air-gapped
  • We support containerized deployment by your own team, to the standard of our most restricted deployments
  • OutcomeZero data leakage. Spec sheets, line items and your pricing logic never leave your boundary.
Sovereign AIYour AI, on your terms - no lock-in to a model, a vendor or a price
  • Choose the AI model, and change your mind later. Providers retire models on their own schedule; here the model is a part you swap, and your BOM extraction keeps working exactly as it did
  • Keep control of cost. Cloud token prices change without asking you; run on a right-sized or self-hosted model and your cost per BOM is a number you set, not one you receive
  • Keep control of where it runs. Your site, your cloud, or air-gapped - and if a regulator or a jurisdiction rules a provider out, you move and lose nothing
  • Keep your knowledge yours. Your customers' formats, your terminology, your corrections stay with you - never inside a vendor's model
  • OutcomeFreedom of action. You decide what changes, when, and on whose terms.
What it unlocks

Quoting at the speed of judgment, not typing.

Your template is the product

The export lands in the quoting template your pricing logic already expects - a custom parser built for your format, not a generic extractor with a download button.

Accuracy that survives scans

95%+ on hard, image-only documents, where standard OCR typically lands at 70-80% - because each cell is read on its own, never guessed from a screenshot.

Human-in-loop by design

Nothing reaches a quote unreviewed: you check the extracted rows beside their source cells, correct a value, add or delete a line - before export.

Multiple BOMs, one pass

A spec sheet carrying two bills of materials is not an edge case. Every candidate table is surfaced; select as many as count, and they land in one template.

Every format ingests

Scanned PDFs, Excel workbooks, images, Word documents - the enquiry is read in whatever form it arrives.

Vendor dialects, connected

"Make", "MFR", "MFG" - three suppliers, one meaning. AI Intime connects those dots once, and holds them for every future file in that format.

Air-gapped and on-prem

Runs entirely inside your boundary - on your site, or fully air-gapped to the same standard as our most restricted deployments. Spec sheets and pricing logic never leave.

No model lock-in

The AI model is a part you can swap. Change providers, go self-hosted, or move when a regulator says so - your extraction keeps working exactly as before.

The review flow

A person stays in charge of what ships.

Extraction is automatic; judgment is not - "Human in Loop" is our design philosophy.

  1. You

    Upload the enquiry - PDFs and spreadsheets, exactly as they arrived.

  2. AI → You

    Every table that could be a bill of materials is flagged for review.

  3. You

    Mark the one that counts - or several, when the sheet splits it.

  4. AI → You

    Check the extracted line items beside their source cells; edit, add or delete rows.

  5. AI

    Export into your quoting template.

Can this read our spec packs and fill our template?
Who it's for

Built for the people who turn enquiries into quotes.

Teams

  • Quoting and proposal teams
  • Application engineering
  • Sales operations
  • IT, as the control owner

Where it runs

Entirely inside your infrastructure - on your site, or fully air-gapped. The spec sheets are your customers' confidential designs - they never leave your boundary, and neither does your pricing logic. And it is LLM-agnostic: the models sit behind the platform, replaceable without touching the parser.

See it on your own spec pack.

Bring one enquiry - the files exactly as they arrived - and watch the line items land in your template. Or run the public exercise first and try to prove us wrong. No form, no gate.

Contact UsRun the exercise yourself

On-prem. Your data never leaves your boundary.