Provides AI-powered document processing tools that integrate, classify, and extract data from unstructured formats like invoices, bank statements, and emails using robust APIs. This automation reduces manual effort by over 80%, increases productivity by 10.4x, and enables industries such as finance and logistics to make faster, data-driven decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle with the manual processing of unstructured documents like invoices, bank statements, and emails, leading to inefficiencies and errors. Extracting key data from these documents is time-consuming and resource-intensive, hindering data-driven decision-making.
Solution
SignalsIQ provides an AI-powered document processing platform that automates the extraction, classification, and integration of data from various unstructured formats. The platform utilizes robust APIs to seamlessly ingest documents, then employs AI agents to identify and extract key values and tables. Configurable rules can be implemented to validate and categorize the extracted data, ensuring accuracy and consistency. The processed data can then be integrated directly with downstream systems, enabling automated workflows and improved decision-making across industries.
Target Audience
SignalsIQ primarily targets audit and advisory firms, as well as organizations in industries such as finance, insurance, lending, and logistics that handle large volumes of unstructured documents.
Features
- Seamless integration with various document formats including PDF, PNG, JPG, Excel, TIFF, TXT, and Emails
- AI agents for cognitive tasks such as KYB, underwriting, and compliance
- Configurable rules for data validation and categorization
- Direct integration with downstream systems via APIs
- Automated extraction of key values and tables from unstructured documents