You can ingest documents by uploading them manually or through automated processes. The system processes documents at the folder level, meaning all documents within a folder are processed together when you execute a workflow.

Yes, the system can process various document types, including leases, invoices, text documents, case laws, contracts, and emails.

The system provides logs that indicate which documents have been started, indexed, and completed. In the near future, there will be a visual indicator (e.g., a checkmark) next to the file name to show its status.

Yes, the system is designed to handle both small and large volumes of documents, scaling to millions of documents if needed.

For documents with structured information, like contracts, the system uses schema-based processing. It automatically identifies essential attributes and populates the values, making it easier to extract and analyze relevant information.

Yes, you can create unique schemas for each type of document or folder, ensuring that the system accurately extracts and represents information specific to each document type.

Yes, the system has a chatbot interface that allows you to ask questions and get answers directly from your uploaded documents.

Yes, the system is a flexible platform that can be customized and extended to meet specific requirements and integrate with other applications.

The system utilizes Google Document AI, Vertex AI, Elasticsearch, Alloy DB, and other technologies to provide document processing, search capabilities, and database management.

The system can extract relevant information, and while it may not natively generate tables, customization and additional development can be done to enable table creation.

While the current interface may not have this feature, it can be added through customization. The underlying technology (Gemini) does have the capability to perform contextual searches and highlight relevant text.

The pricing includes a startup fee for customization and a recurring monthly licensing fee. The Google Cloud costs are separate and depend on the volume of data and usage. The recurring cost for the Trillo Doc AI application layer starts at $650 per month for a two-node cluster, and scales in increments of $650 per month with additional cluster nodes.

The startup fee covers the initial customization of the system, including tailoring it to your specific requirements, loading documents, and ensuring correct indexing and setup.

Basic support for application issues is included. However, additional customizations or feature requests may incur additional charges.