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    DocuSense - Intelligent Document Processing (IDP)

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    Transform unstructured data into actionable insights with speed and precision

    Overview

    Our IDP solution, powered by Generative AI, processes unstructured document content, transforming it into structured, actionable data. By combining machine learning and human oversight, we deliver exceptional speed and accuracy in document processing, helping businesses streamline their workflows and increase efficiency.

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    Business Problems Solved:

    Manual Document Handling: Eliminate the time-consuming and error-prone process of manual document review and data extraction.

    Inefficient Document Analytics: Enhance the ability to analyze documents for business purposes, increasing operational effectiveness.

    Compliance and Risk Mitigation: Ensure full compliance by validating document fulfillment and extracting critical data for audits or legal purposes.

    Data Structuring Challenges: Convert unstructured documents into structured formats for easy integration into business systems.

    Deliverables

    • Structured Data Models: Pre-trained models customized to extract and structure key document data with Amazon SageMaker.
    • Comprehensive Document Reports: Detailed summaries and data-driven insights, accessible through Amazon Athena and visualized via AWS CloudWatch.
    • Real-Time Document Processing Support: IDP enables real-time or batch processing using AWS Lambda and Amazon Kinesis for flexible document handling.
    • Integration Support: Full implementation and integration of AWS services ensure robust deployment and performance.

    Highlights

    • Fast, Efficient Deployment: Built on AWS, IDP speeds up setup and access to insights, leveraging Generative AI for efficient document processing, minimizing time-to-value.
    • Compliance and Accuracy: IDP ensures precise, compliant processing with Amazon Textract, SageMaker, and CloudWatch.
    • Scalable Solution: IDP adapts to diverse needs, offering real-time and batch processing with AWS Lambda, S3, and Kinesis.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Strata Analytics provides comprehensive Customer Support services, ensuring the continuous optimization and performance of our clients' data solutions. We adhere to industry best practices for proactive maintenance and monitoring, incident management, and priority-based request handling, all aligned with predefined service level agreements (SLAs).

    Our Customer Support encompasses:

    • Proactive Maintenance and Monitoring: We employ continuous monitoring techniques to identify potential issues early on, preventing disruptions and ensuring the smooth operation of your data solutions.
    • Incident Management: Our team promptly responds to reported incidents, thoroughly investigating the root cause, implementing effective solutions, and keeping you informed throughout the process.
    • Priority-Based Request Handling: We prioritize requests based on their impact on your business operations, ensuring that critical issues receive immediate attention.
    • SLA-Driven Service: Our SLAs define clear response and resolution times for various service requests, ensuring you can plan and manage your data operations effectively.
    • Expert Resolution: Our team of experienced data engineers and support specialists possesses the expertise to troubleshoot and resolve complex technical issues, ensuring your data solutions remain up and running. Explore our Use Cases for your Business 

    We are committed to delivering solutions that drive tangible business impact, focusing on transforming your data into actionable insights. Embark on your cloud and data modernization journey today. Contact us to discover how AWS can unleash the full potential of your workloads. For more information, email us at: info@strata-analytics.usÂ