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    Quillect -- Document AI for Automated Data Extraction by humaineeti

     Info
    Turn any inbound document -- invoices, contracts, forms, statements, KYC packs -- into clean, validated, structured data.

    Overview

    Quillect is a Intelligent Document processing AI pipeline that transforms any inbound document into clean, validated, structured data. It handles invoices, contracts, forms, bank statements, KYC packs, and more -- from clean digital PDFs to photographed and scanned pages.

    The Pipeline:

    Ingestion -- Documents arrive from monitored email inboxes, REST APIs, SFTP drops, scanners, or web uploads. PDFs, images, scans, and office files are normalised to a common internal format.

    Classification -- An agent identifies the document type and routes it to the correct extraction schema. Unknown types go to triage, not the bin.

    OCR and Layout Analysis -- Amazon Textract, or self-hosted docTR recovers text, tables, key-value pairs, and reading order.

    Schema-Constrained Extraction -- An LLM (Claude, GPT, or an open-weight model deployed on-prem) maps recognised content onto a defined target schema constrained to permitted fields, types, and enums. The model cannot invent a field.

    Validation -- Business rules run on every record: arithmetic checks, format checks (GSTIN, PAN, IBAN patterns), cross-references against master data, and per-field confidence thresholds.

    Human-in-the-Loop Exceptions -- Only records that fail validation or fall below confidence thresholds reach a review queue. Reviewers correct and approve, and that feedback sharpens the schema and prompts over time.

    Structured Output -- Clean, validated records are pushed to ERP, accounting, CRM, or data warehouse systems as JSON, via API, or as governed tables.

    Key Differentiators:

    BYOM (Bring Your Own Model) -- Choose Claude, GPT, or open-weight models per document type, including on-prem deployment for regulated workloads.

    Vendor-Agnostic OCR -- Select the best recogniser per document type rather than being locked to a single cloud vendor.

    Data-Residency Control -- OCR, extraction, and storage can run in customer-controlled regions for DPDP and other regulated workloads.

    Governed Human Review -- Exception handling integrates with your identity, audit, and approval flows.

    Confidence-Gated Automation -- High-confidence, validation-clean records flow straight through without human review. Every decision is auditable with source page, extracted values, confidence scores, rule triggers, and approver identity retained for every record.

    Quillect is designed for high-volume, repeating document types with mixed-quality inputs and delivers straight-through processing of the confident majority while routing exceptions to human reviewers.

    AWS Services S3, Amazon Textract, Bedrock, Amazon SQS, Lambda, EC2

    LINK 

    Highlights

    • Vendor-agnostic BYOM architecture: Choose Claude, GPT, or open-weight models for extraction and Amazon Textract, Document Intelligence, Document AI, or docTR for OCR -- per document type.
    • Confidence-gated human-in-the-loop: High-confidence records flow straight through while only ambiguous or failing records reach reviewers, ranked by value and risk. Reviewer corrections feed back to improve the system over time.
    • Schema-constrained extraction with validation: LLMs map content onto defined target schemas with arithmetic checks, format validation, cross-references against master data, and per-field confidence thresholds -- ensuring extraction accuracy beyond what models alone deliver.

    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

    For support inquiries, demo requests, or implementation questions, please contact the humaineeti team directly. The team offers free demos to help you scope your document mix and volumes before deployment. Support e-Mail - hello@humaineeti.ai  Phone : +91 91472 11556 (Mon–Fri, 9:00–18:30 IST)