Manufacturing Data Guide (PDF)
Understand how data is structured in the process. This is important to understand because data must be structured before you can use it for more complex analysis.
MANUFACTURING AND TESTING DATA
Manufacturing is made up of people, materials, and equipment. The people are trained to follow a set of operating procedures that use materials and equipment to produce an output. There is a system in place to perform testing during the manufacturing process and on the final product to ensure it meets predetermined specifications.
PERSONNEL DATA & STRUCTURE
Personnel are critical in manufacturing processes due to their role in ensuring proper handling of materials, maintaining equipment, and consistently following procedures. This data structure represents a personnel authorization and accountability table commonly used in manufacturing and quality-controlled environments.
MATERIAL DATA & STRUCTURE
In manufacturing, it is important to ensure that the correct materials were used. This is done by verifying materials using identifiers such as the vendor, catalog number, and lot number. These unique identifiers enable material traceability. Expiration dates are also checked to ensure that materials are not expired.
EQUIPMENT DATA & STRUCTURE
Equipment must be fully qualified, with documented calibration, preventive maintenance, and cleaning records to ensure reliability.
PROCEDURES/PROCESS DATA & STRUCTURE
A process is a defined sequence of controlled steps performed to achieve a specific manufacturing or operational outcome.
QUALITY CONTROL DATA & STRUCTURE
Quality control is the set of activities, tests, and checks used to verify that materials, processes, and finished products meet defined specifications, acceptance criteria, and regulatory requirements. QC ensures defects are identified, documented, and addressed before product release.
Demo Guide
This guide will walk you through the entire demo process, from using quick doc to get results quickly to creating a master template for more complex analysis. It covers the steps involved in the process, ensuring you understand how to use the system effectively.
Quick Doc: Documentation Guide
This guide will walk you through the entire quick doc processing workflow, from uploading data to setting criteria or specifications. It covers the steps involved in the process, ensuring you understand how to use the system effectively.
Upload Data
File Types PDF or Image
Set Criteria or Specifications
Process your files
Analyze Results
Review and export data
QUICK DOC
The system quickly reviews documents for completeness, accuracy, and consistency, flags missing data, errors, and risks before they become problems, allows you to add the specifications you are looking for to define the criteria it checks against, understands structure, tables, and context rather than just keywords, and creates clear, easy-to-read outputs you can trust and share.
STEP 1: CREATE A QUICK DOCUMENT
These pages will serve as a structured repository for information that can later be used for AI analysis and insights.
STEP 2: UPLOAD FILE & RUN AI ASSISTANT
Run AI for fast results.
STEP 3, OPTION 1: GET RESULTS QUICKLY
Define the required criteria, rules, or checks you want the system to check.
VIEW 1, OPTION 1: GET RESULTS QUICKLY
Instantly extract data and receive a clear, structured summary in seconds.
STEP 3, OPTION 2: SET SPECIFICATIONS
Define the required criteria, rules, or checks you want the system to check against the document.
VIEW 2, OPTION 2: RESULTS
View the analysis results based on your defined criteria, rules, and validation checks.
Documentation Guide (PDF):
Data Structure
You will find how data is structured in our process. Use a Master Template to help you automate/streamline your review and analysis process.
Master Template Structure
Learn how structures are organized
Data Fields
Understand field mapping
DATA STRUCTURE
The document is structured into three main sections: a header that defines identity and key metadata, a body that contains the primary content organized into structured tables and sections, and a footer that ensures traceability and control. Together, these sections provide a consistent layout that makes information easy to locate, review, and analyze.
DATA STRUCTURE: KEY & VALUE RELATIONSHIP
Each row represents a single material record, and each column functions as a key that maps directly to a value in that row. This creates a clear key ⇒ value relationship, where the column name defines what the data is, and the cell value defines the specific data for that item.
DATA STRUCTURE: OVERVIEW
For every row, the same set of keys (columns) is reused, while the values change based on the specific material.
DATA STRUCTURE: EXAMPLE 1
Header Section Keys ⇒ Values: Document Title ⇒ Manufacture of HEK Master Cell Bank, Company ⇒ Cells R Us, Reference Project Code ⇒ MATC-HEK-MCB, Lot Number ⇒ INPUT_VALUE, Document Approval Date ⇒ INPUT_VALUE
DATA STRUCTURE: EXAMPLE 2
This section defines the Bill of Materials (BOM) for the process. It lists all raw materials (RM) and critical consumables used during manufacturing.
DATA STRUCTURE: EXAMPLE 3
This section defines the Non-Raw Material (Non-RM) materials used during manufacturing. These are supporting consumables and supplies that are necessary for processing but are not part of the final product composition.
DATA STRUCTURE: EXAMPLE 4
This section defines the Ancillary Equipment associated with the process. These are supporting tools or equipment that may be referenced in the document but do not require tracking, extraction, or validation for this specific workflow.
DATA STRUCTURE: EXAMPLE 5
The Overview of the Document provides a high-level summary of the purpose, scope, and contents of the document. It explains what the document is, why it exists, and what process or activity it supports.
Documentation Guide
This guide will walk you through the entire document processing workflow, from creating a master template to analyzing uploaded documents. It covers all the steps involved in the process, ensuring you understand how to use the system effectively.
Template Setup
Create master templates
Document Upload
Process your files
Data Analysis
Review and export
STEP 1: CREATE A DOCUMENT PAGE
This is the Page where all your files will be stored
STEP 2: UPLOAD MASTER TEMPLATE
When a document requires ongoing or repeat review, using a master template ensures consistency, accuracy, and efficiency.
STEP 3: MODIFY MASTER TEMPLATE
Updates may include adding new fields, adjusting data definitions, changing formatting rules, or reorganizing sections to better support analysis and reporting.
STEP 1: UPLOAD FILE
Upload your document or image by taking a photo with your phone or uploading a full PDF. You can submit single pages or entire multi-page files, and everything is processed automatically.
VIEW 1: AI ANALYSIS
Files—often unstructured PDFs, scans, or tables—are converted into clean, structured HTML. Key data is systematically extracted for improved readability, searchability, and compliance verification.
VIEW 2: DATA/SHEET
The provided raw batch record text represents the unprocessed output from an initial data extraction process (e.g., OCR, manual transcription, or early AI parsing). It contains all the key production details but in a flat, inconsistent, hard-to-scan format with repeated headers and no clear alignment.
VIEW 3: COMPARE MULTIPLE DOCUMENTS
Data which spans multiple pages, versions, or extraction runs (as seen in the raw multi-page output), discrepancies often appear across repeated entries for the same material—such as differing lot numbers, expiration dates, or minor typos.
Multi-Document Guide
You will find how to compare multiple variables with our system.
Side-by-Side
Compare documents visually
Data Analysis
Identify differences
Export Results
Generate reports
STEP 1: AI PROMPT
In effective AI prompt for comparing multiple documents—
STEP 2: ATTACH DOCUMENTS
How to Attach documents for comparison
STEP 3 & 4: CHECK DOCUMENTS & AI
Review documents and AI processing
STEP 5: RESULTS
View comprehensive multi-document results
VIEW 1: MULTI-DOCUMENT
Results for comparing multiple documents