A SaaS product that automates document-heavy tasks using AI. It supports over 50 document types and provides solutions for processing documents, such as contracts, utility bills, and financial statements. It's designed to integrate seamlessly into existing workflows and is used by various enterprises to increase efficiency and reduce manual work.
Heron offers automation of document-heavy tasks using AI to save time on complex paperwork. This feature is designed to handle a wide variety of documents and provide automated feedback.
Heron supports over 50 document types out-of-the-box, including Acord forms and financial statements. This ensures quick implementation and ease of use for businesses handling various document formats.
Automatically extracts relevant data from documents, reducing the need for manual input and speeding up the underwriting process.
Quickly transfers data from emails to CRM systems, making information available within minutes without manual entry.
Instantly parses and validates documents to ensure accuracy and consistency in data, which supports better decision-making.
Integrates directly with CRM or LMS systems for seamless data transfer and system efficiency.
Automates document processing to minimize risk and allow users to focus on what's important in the insurance industry.
Direct integration with agency management systems, policy administration systems, and MGAs to streamline operations.
Supports errors and omissions, directors and officers liability, and other specialty insurance lines, enhancing document handling for these specific needs.
Includes a robust validation feature to ensure that parsed data from documents is correct and reliable.
Quick parsing and validation of documents driving business operations in the insurance sector.
Automatically processes and organizes legal documents to simplify case preparation and reduce administrative tasks.
Enables the automatic creation of case files by extracting essential information from documents, saving time and improving accuracy.
Instantly parses and validates every case file to ensure all necessary information is accurate and up to date.
Integrates smoothly with existing case management systems like Salesforce to enhance workflow efficiency.
This feature allows you to automatically parse and validate documents, ensuring data accuracy and streamlining workflows.
Quickly extract key data points from documents with an intuitive interface that supports seamless data handling.
Offers evaluation tools to analyze documents for specific insights, improving decision-making with comprehensive document assessment.
Easily sync and integrate your documents with existing systems, reducing time spent on manual data entry and management.
Supports a variety of document types including PDFs, invoices, and handwritten notes, providing flexibility for different business needs.
Automatically renames bank statements using AI to organize files efficiently.
Allows users to upload files through various methods, respecting their preferred workflow.
Classifies uploaded files automatically into relevant categories for streamlined organization.
Extracts key information like balance, account number, and statement date to ensure accuracy and enhance organizational possibilities.
Provides the ability to create and apply custom naming templates for consistent file naming. For example, using patterns such as {bank}_{balance}_{date}.pdf.
Pioneers in using enterprise-level Large Language Models in business processes to categorize bank transactions and more, enhancing speed, accuracy, and fairness.
Helps fintechs, financiers, insurers, and professional services automate complex document-heavy workflows, freeing up time for meaningful work.
Processes over 30,000 documents and analyzes over 10,000 deals every day, supporting over 50 specific document types.
Eliminates manual data entry by collating email packets into a single place, freeing up time for employees to focus on building better merchant relationships.
Automatically parses and analyzes bank statement data, surfacing key metrics like revenue deposits and debt calculations in seconds, reducing the time and errors involved in manual reviews.
Allows underwriters to quickly assess bank statement data without the need for manual searches and multiple file uploads, saving significant time in the underwriting process.