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    8nap AI – IDP: Intelligent Document Processing Engine

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    Sold by: Zimetrics 
    Intelligent Document Processing engine to process semi-structured and unstructured documents intelligently at scale that- Orchestrates hyper-automation in document workflows, Accelerates time to market with low training data requirements, and Auto AI enables hyperparameters optimization and tuning Traceable prediction outcomes.

    Overview

    8nap AI- IDP is purpose-built for high-variance, domain-specific documents. Leveraging small language models (SLMs), it delivers hyper-automation across workflows—extracting, validating, and routing data with minimal human interventions for exception management cases. The platform integrates seamlessly with existing upstream and downstream systems. Platform provides custom interfaces ensuring faster time-to-market for model training, re-training process, business check validations in runtime, and case management.

    Features:

    • High-Variance Document Extraction Extracts and organizes data from diverse document formats—POs, invoices, contracts, policies—using foundational and custom models.

    • Domain-Aware Label Normalization Applies domain-specific validation checks to ensure semantic consistency and accuracy in extracted data.

    • LLM-Assisted Annotation Engine Uses small language models to semi-automate annotation and training data creation, reducing effort and speeding deployment.

    • Auto Model Selection Logic Automatically selects the most suitable foundational model based on document type and structure, improving efficiency.

    • Touchless Processing Interfaces Prebuilt interfaces for validation and exception handling enable straight-through processing with minimal manual review.

    • Rule-Based Workflow Integration Supports seamless upstream (S3/API) and downstream (ERP) integration for automated end-to-end document lifecycle management.

    Key Implementation Details:

    1. Document Processing & Ingestion: Document ingestion can be done via UI, API or S3. The platform can be deployed on Amazon EKS with Fargate inside a private VPC for scalable microservices management.

    2. Storage & Database: Amazon EFS provides shared storage across microservices, while Amazon DocumentDB serves as the primary database. Docker images are managed using Amazon ECR. Secrets are securely stored in AWS Secrets Manager, and all data is encrypted at rest with AWS KMS and in transit.

    3. API & Network Infrastructure: Amazon Route 53 with ACM acts as a common entry point for multiple microservices via Amazon API Gateway. An internal Application Load Balancer is exposed through API Gateway using a VPC Link.

    4. Authentication & Security: Amazon Cognito handles user authentication and authorization.

    5. Monitoring & Logging: Operational monitoring and logging leverage AWS CloudTrail, Amazon CloudWatch, and the ELK stack.

    Highlights

    • Model ownership and full customization capability
    • Prebuilt domain rule engine for validation and exception workflows
    • Pre-integrated SME-in-the-loop for human validation when needed Designed for touchless, scalable deployment with low annotation effort

    Details

    Delivery method

    Deployed on AWS

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