Data Extraction for Manufacturing

Trusted by Industry Leaders

Common Challenges Across Manufacturing Teams

Fragmented Data Workflows

Teams struggle with inconsistent data formats, slowing collaboration across R&D, engineering, and regulatory departments

Resource-Intensive Data Management

Manual data extraction from product reports and catalogues limits team efficiency

Inconsistent Data Quality

Handling unstructured data leads to accuracy and compliance risks

Data Security & Compliance

Sensitive information management requires high security to avoid breaches and ensure compliance

Document Intelligence with Acodis

Acodis automates the extraction and structuring of various manufacturing documents, increasing efficiency for teams across R&D, manufacturing, regulatory affairs, and quality assurance. The following examples illustrate Acodis' versatility in handling a wide range of unstructured documents across the manufacturing industry:

Batch Records

Automate production data capture for seamless quality checks.

Certificates of Analysis (CoA)

Standardize product test results for faster release.

Labels

Extract and standardize product labeling information to ensure compliance with regulatory requirements and enhance traceability.

Quality Control Reports

Accelerate quality controls with augmented reading while complying with your internal guidelines.

Material Certificates

Ensures that the right materials are available for production and get structured data for inventory management, cost estimations, and production scheduling.

Packaging Information

Extract key details with updated product information.

Scientific Articles

Structure research data for better insights and reporting.

Insights on how AI and IDP can accelerate your business

Best AI Use-Cases for Quality teams in Life Science and Pharma

Acodis

Discover how metadata enhances AI accuracy by improving data quality, integration, ethical use, and decision-making across diverse applications.

Acodis

From Data to Insight: Why Traceability is Crucial for AI Success

Acodis

Discover how metadata enhances AI accuracy by improving data quality, integration, ethical use, and decision-making across diverse applications.

Acodis

Navigating the Future of Generative AI: A Strategic Guide

ai ready data

Acodis

As AI data ingestion platform - Acodis, our latest blog post delves into a comprehensive planning framework, designed to guide business and IT leaders in maximizing the value and feasibility of GenAI initiatives.

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Enhancing AI Accuracy: The Crucial Role of Metadata

AI accuracy

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Discover how metadata enhances AI accuracy by improving data quality, integration, ethical use, and decision-making across diverse applications.

Acodis

Enhancing AI Accuracy: The Crucial Role of Metadata

AI accuracy

Acodis

Explore the advantages of integrating Human-In-The-Loop for AI projects for enhanced accuracy, collaboration, and innovation. With Acodis, leverage advanced AI with integrated HITL funtionality since human expertise plays an important role in refining and optimizing data in these systems.

Acodis

The Benefits of Integrating Human-In-The-Loop, a Guide

Data Extraction

Acodis

Explore the advantages of integrating Human-In-The-Loop for AI projects for enhanced accuracy, collaboration, and innovation. With Acodis, leverage advanced AI with integrated HITL funtionality since human expertise plays an important role in refining and optimizing data in these systems.

Acodis

Structured vs. Unstructured Data: What's the Difference?

Document Processing

Dream Haddad

Structured versus unstructured data — what’s the difference? Find out & learn why unstructured data is such an insightful and valuable type of data.

Dream Haddad

Document Digitization With OCR and Deep Learning AI

Data Extraction

Dream Haddad

What is document digitization, and what impact does combining OCR with deep learning AI have on a company’s digital transformation? Find out here.

Dream Haddad

OCR Table Extraction Using Deep Learning (DL)

Data Extraction

Dream Haddad

Learn how Deep Learning (DL) models enable analysts to automatically detect, recognize, & extract specific table data from pdfs and images in bulk.

Dream Haddad

Automate Hazardous Data Detection in Safety Data Sheets

Data Extraction

Dream Haddad

Automated data extraction solutions can now extract any complex data points from Safety Data Sheets (SDSs), such as hazardous icons (pictograms).

Dream Haddad

What is Intelligent Character Recognition (ICR)

Dream Haddad

The difference between Intelligent Character Recognition (ICR) and optical character recognition (OCR) is that OCR is not set up to recognise handwriting

Dream Haddad

Introduction to PDF Structure Extraction

Data Extraction

Dream Haddad

With Structure Extraction, you get text in contextual blocks including headings, paragraphs, lists, footnotes and tables and other formatting information.

Dream Haddad

4 Proven IDP Use Cases (Intelligent Document Processing)

Intelligent Document Processing (IDP)

Dream Haddad

Discover the four IDP use cases (Intelligent Document Processing) across four industries. Banks, for example, are enhancing their fraud...

Dream Haddad

The Value of Text Mining For Unstructured Document Data

Document Processing

Dream Haddad

Text mining is a great support tool because it can dig deeper (pun not intended) into data, and understand/identify relevant business insight from content.

Dream Haddad

Why is Data Extraction Still an Unresolved Issue?

Data Extraction

Dream Haddad

The reality is, organisations are continuously experiencing unresolved issues related to extracting data from their documents. It's due to outdated...

Dream Haddad

Data Extraction Tools: Difference Between Understanding and Memorising Data

Data Extraction

Dream Haddad

Understanding data vs memorising data: don't they sound the same? To conquer data extraction software, it's important to understand these differences...

Dream Haddad

Why Is Document Data Extraction So Complex?

Data Extraction

Dream Haddad

More companies are realising how complex document data extraction is: from processing data from PDFs, tables, and handwritten content. But there's an ea...

Dream Haddad

What Is Intelligent Document Processing (IDP)?

Data Extraction

Dream Haddad

Intelligent Document Processing (IDP) converts unstructured information in documents into machine-readable structured data using AI and OCR.

Dream Haddad

Data Extraction From Large PDF Catalogues

Data Extraction

Dream Haddad

Automate data extraction from PDF catalogues with a few clicks in Acodis. Time to eliminate manual copy/pasting – start focusing on what matters most.

Dream Haddad

6 Things To Know About Data Extraction

Data Extraction

Dream Haddad

Data extraction software helps you process any document in the fastest, most accurate way. Process data in seconds, not hours, and get higher customer sa..

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6 Ways Automated PDF Data Extraction Improves Income Verification

Data Extraction

Dream Haddad

Customers expect efficiency. PDF data extraction makes income verification faster and more accurate. Save money and make rapid lending decisions when you..

Dream Haddad

Use Cases of Manufacturing Clients

Acodis has perfectly matched OCR, data extraction and AI to our business documents. The result, their expertise and the collaboration convinced me and led to significant optimisations in the range of three FTEs per year.

Head of Sales Office

Pharmaceutical Provider

View Case Study

By extracting raw data from scanned PDF copies of historic study reports, we were able to re-use the clinical data and conduct further exploration and analysis by combining datasets from various studies. Without the new technology, this would not have been possible within reasonable costs and timelines.

Gregor Bieri

Head Clinical Data Sciences, Analytics & QM at Bayer Consumer Health

View Case Study

It is not enough to have information in PDFs to circulate within the business to have the data added on. This data needs to be available in a structured format and present in a database that you can enrich, transform, and make queries about. Then data can travel effectively through the enterprise’.

Thomas Horn

Business Architect at Syngenta Crop Protection

View Case Study

Data Structured for Manufacturing

Automated Data Extraction

Find and extract the data you need from complex documents spanning hundreds of pages in a few clicks.

AI & Human-Driven Data Validation

The platform validates every piece of extracted data and cross-references it with the parameters you define. If the data doesn’t meet your validation parameters, the human-in-the-loop functions support you to review the data.

Meet Erik, your sales consultant!

Ready to see how Acodis can transform your document data into valuable insights?

Book a demo with Erik, our expert sales consultant, and get a personalized walkthrough of our innovative solutions. Discover how we can help your business streamline processes and unlock the potential of your data!

What Do our Customers Say about Acodis?

Excellent customer support from Acodis team ensured we achieved our goal in a timely manner

Shannon Montgomery

Senior Consultant, Capgemini Engineering

" Acodis platform is intuitive and easy to use by business users "

Thomas Horn

Business Architect at Syngenta Crop Protection

" By working with Acodis, extraordinarily valuable insights can be processed and made available for future research "

Oskar Jenni

Head of Zurich Longitudinal Studies

" Very easy and fast implementation with different connection possibilities.

Excellent Customer Service, and solution "

Vinyo D.

Project Manager IT Developement

" Acodis offers a no-code platform for fast, structured data extraction, praised for its ease of use, integrations, and responsive support "

Harald Z.