Limai utilizes Generative AI to automate the extraction of data from unstructured PDF documents, significantly reducing the time required for data processing. By transforming hours of manual data entry into minutes, Limai enables organizations to efficiently convert various document types, such as invoices and insurance claims, into structured data tables.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations spend significant time and resources manually extracting data from unstructured PDF documents such as invoices, insurance claims, and bills. This process is often slow, repetitive, and prone to errors, hindering efficient data processing and analysis.
Solution
Limai leverages generative AI to automate data extraction from unstructured PDF documents, converting them into structured data tables. Users upload their PDF files, define the required data fields, and Limai's AI algorithms automatically extract the relevant information. This eliminates the need for manual data entry, significantly reducing processing time from hours to minutes. The platform supports various document types, including invoices, insurance claims, contracts, and bills, and integrates with existing workflows through custom integrations.
Target Audience
Limai's primary customers are businesses and organizations that process large volumes of PDF documents and need to automate data extraction for improved efficiency and accuracy.
Features
- AI-powered data extraction from unstructured PDFs
- Support for multiple document types, including invoices, insurance claims, contracts, and bills
- Multi-language support
- Unlimited datasets and CSV exports
- Custom integrations with existing software and services (Enterprise plan)
- Custom AI models (Enterprise plan)
- Single Sign-On (Enterprise plan)