Document Data Infrastructure

Know exactly what's in every contract, invoice, and purchase order across your enterprise

The data that drives your business is buried in PDFs and Word docs. YellowPad pulls it out, structures it, and gives you a database you can actually talk to — with the same answer, every time you ask.

Your most important business data
lives in documents nobody can query
Contracts, invoices, SOWs, amendments, compliance filings — the data inside them drives revenue, risk, and operations. But it's locked in unstructured formats, and the tools you've tried either don't normalize it or they guess.
$

Revenue Leakage

Payment terms, milestones, and pricing commitments that nobody's extracting systematically. Your rev rec and finance teams are working from incomplete data every quarter.

Missed Deadlines & Renewals

Expirations, auto-renewals, and key dates buried in PDFs nobody opened. By the time someone finds them, the cost is already real.

Compliance Exposure

When the auditor or regulator asks for every document with a specific provision, you need an answer in minutes — not weeks of manual review across repositories.

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Systems Running on Guesswork

Your ERP, CRM, and BI tools are only as good as their inputs. Right now, those inputs are manually keyed spreadsheets — not governed, structured document data.

From unstructured files
to trusted, structured data
Three steps. No model training. No labeled data.
Production-ready in days, not months.
1

Connect Your Repositories

Point us at Google Drive, SharePoint, or upload directly. We handle contracts, invoices, SOWs, amendments, compliance docs — PDFs, Word docs, and scanned documents.

2

We Build the Database

Modular extraction agents classify every data point against your customizable schema. Parent-child relationships are resolved. Duplicates eliminated. You get the current, normalized state of every document.

3

Ask Questions, Get Facts

Chat with your document data in natural language. Because answers come from structured records frozen in a database — not re-queried text — they're deterministic: the same question always returns the same answer, backed by citations.

Same question.
Same answer.
Every time.
Most AI tools re-query raw document text on every question — and get different answers each time. YellowPad queries structured records frozen in a database. Your answers are deterministic, reproducible, and citation-backed.
Deterministic retrieval — answers come from structured records, not re-interpreted text
Reproducible results — run the same query tomorrow and get the same data, guaranteed
Every answer cites its source — down to the document, page, and exact span of text
YellowPad Chat
What's our total committed annual value across all APAC vendor agreements?
Your total committed annual value across 34 active APAC vendor agreements is $12.4M.

Top 3 by value:
1. Sakura Technologies — $3.2M [MSA-2024-0891, §4.2]
2. Horizon Partners — $2.8M [SOW-2023-1102, §3.1]
3. Pacific Digital — $1.6M [MSA-2024-0445, §4.1]
Deterministic · Reproducible · 34 records queried
You've tried other approaches.
Here's why they fall short.
Every category solves part of the problem.
None of them solve it end to end.
📄

IDP (Intelligent Document Processing) Tools

Extract data from documents — but stop there.
  • Require labeled training data for each document type
  • Break when formats change
  • Outputs are flat files, not a queryable database
  • No way to ask questions across documents
🤖

AI Copilots

Generate answers from raw text — but guess every time.
  • Re-query raw document text on every question
  • Different answers to the same question, every time
  • No structured data layer underneath
  • Can't audit or reproduce results
📚

CLMs & Legal Tech

Manage contract workflows — but not the data inside them.
  • Built for lifecycle management, not data extraction
  • Limited to contracts — ignore invoices, POs, filings
  • No normalization across document types
  • Portfolio answers aren't consistent or reproducible

YellowPad — Document Data Infrastructure

Extract, normalize, and freeze document data into a structured database. Query it in natural language. Same question, same answer, every time.
Adapts to any documentNo templates, no labeled data. Modular agents handle contracts, invoices, POs, filings, and more.
Deterministic answersQueries run against structured records frozen in a database — not re-interpreted text. Reproducible every time.
Fully auditableEvery answer traces back to a source document, field, and extraction step. No black boxes.
Built for the teams that run
on document data
CFO / Finance

Accurate document data into rev rec and modeling

Clean, structured data flowing from contracts and invoices into revenue recognition and financial models — replacing manually keyed spreadsheets with governed inputs.

VP of Procurement

Compare terms, catch renewals, find savings

Cross-vendor term comparison, renewal tracking, and savings identification across your entire vendor portfolio — at scale, not one agreement at a time.

Operations / Strategy

One source of truth for every commitment

Every expiration, obligation, and key term across the business — structured, queryable, and ready to feed the systems your team already uses.

Legal Ops / Risk

Portfolio-wide risk visibility without manual review

Generate issues lists, track obligations, and flag risk across thousands of documents. Automated extraction replaces manual review.

What you can do with YellowPad
💬

Chat Interface

Ask questions in natural language across your entire document portfolio. Answers are pulled from frozen, structured records — not re-generated from raw text — so they're consistent and auditable.

📊

Board-Ready Reports

Export to Excel and Word. Custom views by vendor, document type, region, or any dimension your schema supports.

🔌

System Integrations

API feeds clean, structured document data into your ERP, Salesforce, BI tools, and rev rec systems — eliminating manual re-keying.

Confidence Scoring

Low-certainty extractions are flagged for human review. Every output is validated before it reaches your database.

Why enterprises trust YellowPad

No Hallucinations

Answers come from structured records frozen in a database — not re-generated from raw text. Same question, same answer, every time. With citations.

Full Auditability

Every data point traces to its prompt, schema, and source evidence span. Complete transparency, no black boxes.

LLM-Agnostic

Always powered by the most capable model available. No vendor lock-in to a single provider.

Enterprise Security

SOC 2 Type 2 ready. On-premises deployment available. Client-owned LLM keys supported.

See what's in your documents

Book a 30-minute demo and see how YellowPad turns unstructured documents into a structured database you can query in natural language.