Provides an enterprise-scale Intelligent Document Processing (IDP) platform, CMR+, that uses AI to automate the extraction and organization of data from structured and unstructured documents, including handwritten notes, images, and tables. By reducing manual processing time and improving data accuracy, it enables organizations in industries like banking, insurance, and supply chain to streamline operations and make data-driven decisions.
Funding
$59.7M 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 struggle with the manual processing of large volumes of documents, leading to inefficiencies, errors, and delays in critical business processes. Extracting and organizing data from diverse document formats, including handwritten notes and images, is particularly challenging and resource-intensive.
Solution
CMR+ is an Intelligent Document Processing (IDP) platform that leverages AI to automate data extraction and organization from both structured and unstructured documents. The platform supports various formats, including handwritten notes, images, and tables, enabling enterprises to streamline operations and improve data accuracy. By automating document processing workflows, CMR+ reduces manual effort, accelerates turnaround times, and facilitates data-driven decision-making. The platform's low-code design and pre-built integrations allow for rapid deployment and seamless integration with existing enterprise systems.
Target Audience
The primary target audience includes enterprises in banking, financial services, insurance, manufacturing, retail, and supply chain industries seeking to automate document processing and improve data management.
Features
- AI-powered data extraction from structured and unstructured documents
- Support for multiple document formats, including forms, handwritten notes, images, and tables
- Citizen developer capabilities for low-code customization and workflow design
- Automated quality control (Auto QC) to ensure data accuracy
- SDK framework for extending platform functionality
- Enterprise-scale architecture for handling high document volumes
- Pre-built integrations with third-party platforms, including Pega
- Generative AI (GenAI) integration for enhanced document understanding