Apollo provides an Intelligent Document Processing platform that extracts, processes, and validates data from various document formats, including handwritten texts, to automate document-centric business workflows. By integrating seamlessly with third-party software, Apollo enhances operational efficiency and data accuracy, allowing teams to focus on higher-value tasks.
Funding
$319.2K 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 still rely on manual processes for handling documents, leading to inefficiencies, errors, and delays in data extraction and processing. This is especially problematic when dealing with diverse document formats, including handwritten text, and integrating data across different systems.
Solution
Apollo is an Intelligent Document Processing (IDP) platform that automates document-centric business workflows by extracting, processing, and validating data from various document formats, including handwritten text. The platform uses AI and machine learning to understand the text within documents, even if they are unstructured or non-standardized. Apollo can collect documents from multiple sources, such as email, ERP systems, browsers, and cloud storage, and then process and transfer the data to third-party software. The platform also offers a human-in-the-loop validation step for documents that require additional verification.
Target Audience
Apollo targets companies across various industries, including transport and logistics, retail, pharma, accounting, and HR, that handle large volumes of documents and seek to automate their document processing workflows.
Features
- Extracts data from various document formats, including PDF, PNG, DOCX, and JPG, even if handwritten
- Processes unstructured and non-standardized documents using AI and machine learning
- Validates extracted data, with an option for human approval via a human-in-the-loop system
- Exchanges data with clients, suppliers, and other business partners, regardless of their internal systems
- Hybrid Extraction Technology: Performs both spatial and semantic analysis on document text
- Data Comprehension: Interprets recognized data based on previously learned knowledge, continuously learning from user adjustments
- SmartFlows: Allows users to create 100% personalized processes based on specific company needs using a drag-and-drop interface with SmartBites (pre-built process components)
- Automatically categorizes and separates documents within large files containing multiple document types
- Automatically groups documents containing data related to the same transaction (e.g., invoice + receipt + transport document)