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    Intelligent Document Processing

    Imagine a world where your documents not only get organized but also transform into actionable data. At ThirdEye Data, we specialize in harnessing the hidden potential within your documents, transforming them into valuable assets for your organization with Intelligent Document Processing Solutions.

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    Benefits of Our Intelligent Document Processing Solution

    Our Intelligent Document Processing solution is built using Azure's Custom Form Recognizer services. This powerful integration enables you to automate data extraction from a wide range of document types. In today's fast-paced business environment, the efficient processing of documents is not just a necessity, it's a strategic advantage. 

    Processing Any Document, Any Format

    With ThirdEye Data's IDP solution, you can process documents of any type, whether it's a PDF, text document, Word document, bank statement, invoice, receipt, fax, handwritten note, contract, or virtually any other document format.

    Effortless Data Extraction from Large Documents

    Behind the scenes, our solution employs powerful technology to extract data from your documents seamlessly. The solution transforms documents into key-value pairs, making data extraction not only precise but also lightning-fast.

    Customized Data Presentation

    We understand that each organization has unique requirements. That's why we provide the flexibility to present your processed data in a format that suits your needs, whether it's a neatly organized table or an intuitive key-value representation.

    Multiple Output Formats

    ThirdEye Data’s Intelligent Document Processing solution keeps in mind the question “Need your results in a specific format?” and the answer for this is “No problem” as our powerful solution allows you to download your processed data in various formats, including CSV, PDF, and JSON. It's all about providing you with the data exactly the way you want it.

    Secure and Scalable Infrastructure

    Security is paramount. Our solution is built on a robust infrastructure, with a user-friendly React UI, a Django backend, and SQL as the database backbone. Hosting on Digital Ocean ensures reliability and scalability, while firewall and private Virtual Network (VNet) options provide the level of security required.

    Data Privacy and Security

    Your data's security is our top priority. With the solution, you can trust that your sensitive information is safeguarded. Our robust security measures ensure that each user can access only their designated documents, guaranteeing the highest levels of data privacy and compliance.

    Use Cases of Intelligent Document Processing Solution Across Industries

    • Loan Processing: Banks use IDP to automate the extraction of customer data from loan applications, reducing processing times and improving accuracy.
    • Invoice Processing: Automating the extraction of data from invoices, such as vendor information and transaction details, helps financial institutions manage accounts payable more efficiently.
    • Compliance and Regulatory Reporting: IDP can assist in extracting relevant data from documents to ensure compliance with financial regulations and reporting requirements.
    • Medical Records Management: Healthcare organizations use IDP to digitize and extract information from patient records, enabling faster access to patient data for improved care.
    • Insurance Claims Processing: Insurance companies can automate the extraction of information from claims forms, accelerating the claims approval process.
    • Drug Discovery: IDP helps in analyzing research papers and clinical trial documents, aiding pharmaceutical companies in data extraction and analysis.
    • Contract Analysis: Law firms and legal departments use IDP to review and extract key clauses and terms from contracts, enabling faster contract analysis and management.
    • Case Management: Legal professionals can streamline case management by extracting and organizing relevant information from legal documents.
    • Inventory Management: Retailers automate data extraction from invoices, purchase orders, and receipts to maintain accurate inventory records.
    • Customer Service: Retail and e-commerce companies use IDP to extract and categorize customer inquiries and feedback for better customer support.
    • Price Monitoring: Competitive pricing data can be extracted from various sources to help retailers adjust pricing strategies.
    • Supply Chain Management: Manufacturers use IDP to extract data from shipping documents, purchase orders, and invoices to optimize supply chain processes.
    • Quality Control: Data extraction helps in monitoring and ensuring product quality by analyzing quality control documents and reports.
    • Resume Screening: HR departments use IDP to extract and compare candidate information from resumes and job applications.
    • Employee Onboarding: Data extraction simplifies the onboarding process by extracting and verifying employee information from various documents.
    • Property Management: Real estate companies can automate lease and contract management by extracting and organizing data from agreements.
    • Mortgage Processing: Mortgage lenders use IDP to expedite the processing of mortgage applications by extracting applicant and property information.
    • Public Records Management: Government agencies use IDP to digitize and extract data from historical records, making information more accessible to the public.
    • Permit and License Processing: IDP can automate the extraction of data from permit applications and licenses, reducing processing times.

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    Step into the Future of Document Processing

    ThirdEye Data can lead your organization into a new era of document processing. Our “Intelligent Document Processing” solution promises not only unmatched efficiency but also the utmost accuracy and security when handling documents of all varieties. Experience document processing redefined.

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    Project References

    Anomaly Detection in Electric Poles

    Developed a solution that would Identify various images in a picture, including electric poles, detect anomalies in these electric poles and their sub-parts and predict the probability of defective electric poles.
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    Predictive Maintenance Platform

    Extended client's existing Predictive Analytics Platform to predict in real time using 10x additional data points. Increased rate of data ingestion by more than 50%. Improved analytical queries response times ability by more than 900%.
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    Inventory Optimization System

    Setup data lake that ingests 200+ data sources with varied data sources types and formats. Developed ML models to deliver inventory optimization strategies that will inherently help the company’s bottom line.
    Learn More

    We have implemented 100+ Data & AI projects

    We have implemented 100+ Data & AI projects for small to large scale enterprises including some Fortune 500 companies. Take some time out to browse through our top Data & AI implementation project references.

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    ThirdEye Data has a 4.6 stars rating from 21 reviews!!

    Clutch has independently verified the reviews by ThirdEye Data’s customers worldwide.

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    “They brought in their best to support us.”

    Kumar Mankala Advisor of AI/ML Program, SCE

    "They were a pleasure to work with."

    Matt Singer Chief Executive Officer, EcoTrak

    “Their project management were top-notch.”

    Andriy Romanyuk Head of R&D, Glas Trösch Group

    “The people cared about the project as much as we did.”

    Ricardo Boggs Director of Technology, BTI

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      Frequently Asked Questions

      Intelligent document processing (IDP) is a set of technologies that use artificial intelligence (AI) and machine learning (ML) to extract data from unstructured documents. This data can then be used to automate business processes, improve decision-making, and comply with regulations.

      • On-premises solutions: These solutions are installed and managed on-site by the enterprise.
      • Cloud-based solutions: These solutions are hosted and managed by the IDP provider.

      The following factors should be considered when choosing an IDP solution:

      • The type of documents that need to be processed
      • The complexity of the data
      • The budget
      • The level of support required

      The future trends in IDP include:

      • The increasing use of deep learning and natural language processing (NLP) to improve the accuracy of IDP models.
      • The development of more user-friendly IDP solutions that can be easily implemented and used by businesses of all sizes.
      • The integration of IDP with other technologies, such as robotic process automation (RPA), to create more end-to-end automation solutions.

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      Intelligent Document Processing
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