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Send AI

Send AI

Send AI

Main Task


Send AI provides a document processing infrastructure that aims to streamline business workflow by automating document management tasks. The platform has capabilities to parse, classify, extract, validate, and export data from documents.

Users can train and configure their own AI models using Send AI's systems to extract information from documents and export it directly into their own systems.

To ensure accuracy, it allows users to apply custom validation logic in the process. The tool supports Optical Character Recognition (OCR) which transforms scanned images into readable text while retaining the original structure.

Data extraction using a custom language model trained on a small set is also offered, ensuring high accuracy of extracted entities. A unique feature included in the toolset is model training, which allows users to tailor language models to their specific needs and use cases.

This model training feature enables the recognition and extraction of specific entities from documents. Data export is optimised for user preferences, ensuring that exported entities match given data types with a validation feature called Type Checking.

Send AI allows users to stay in control of exported data through an easy-to-use interface, providing options for quick corrections and edits. The system learns from user's feedback resulting in continuous improvement of data exports.

It's designed to work across multiple sectors including Insurance, Retail, Transport & Logistics, and Government. Data security standards are prioritised, offering features like encryption, single-tenant storage, adherence to GDPR, and ISO/SOC2 infrastructure.

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Pros & Cons


  • Document processing automation
    Data parsing
    Data classification
    Data extraction
    Data validation
    Data export
    Custom validation logic
    Optical Character Recognition (OCR)
    Preserves original text structure
    High accuracy on small datasets
    Language model training
    Tailor-made language models
    Entity recognition in documents
    Export optimization
    Type Checking validation
    User-friendly interface for quick corrections
    Continuous improvement from user feedback
    Supports multiple sectors
    High data security standards
    Data encryption
    Single-tenant storage
    GDPR compliance
    ISO/SOC2 infrastructure
    Reduction in errors and costs
    Document type detection
    Custom logic validation
    Data enrichment
    Fast corrections on exports
    Scanner to text capabilities
    Auto improvements on feedback
    Data extraction mode


  • Limited training set size
    Type checking might be restrictive
    Complex configuration required
    Training models might be time-uming
    Heavy reliance on user feedback
    Model personalisation might limit scalability
    Limited integration options
    Specific document types not supported
    Manual corrections required
    Requires bespoke fine tuning

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