Send AI provides an AI-powered inbox platform designed to automate the processing of emails and complex documents like PDFs. The system uses OCR, intent classification, and data extraction to convert unstructured data into structured formats ready for integration with ERP or TMS systems. This automation saves employee time, reduces manual data entry errors, and allows teams to focus on high-value tasks.
Funding
$2.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations face challenges in efficiently extracting and validating data from complex documents, leading to time-consuming manual data entry and potential inaccuracies. Existing document processing solutions often lack the flexibility to adapt to unique business requirements and maintain control over AI models and sensitive data.
Solution
Send AI offers a secure document processing infrastructure that leverages self-learning AI to automate data extraction and validation from complex documents. The platform enables organizations to build and own their library of high-performance AI models, ensuring data privacy and control. By breaking down complex documents into manageable chunks and applying custom validation rules, Send AI streamlines document workflows and enhances data accuracy. The platform's architecture allows for seamless scaling and isolated data environments, providing reliability and security for sensitive information.
Target Audience
Send AI targets organizations across various industries, including logistics, insurance, government, maritime, finance, and retail, that handle large volumes of complex documents and require accurate, secure, and automated data extraction.
Features
- Self-learning AI models that adapt to specific document types and business rules
- Document pre-processing capabilities to break down complex documents into workable chunks
- Human-in-the-loop validation to ensure data accuracy and compliance
- Secure and isolated data environments to protect sensitive information
- Scalable architecture to handle high-volume document workflows
- Integration with existing databases and systems for seamless data export
- GDPR and ISO compliance (pending) to meet industry standards