Knowledge workers spend up to 30% of their time searching for information, because over 70% of organizational information is stored as unstructured data.
Data extraction from documents and entering into database is prone to error.
Intelligence, hidden in documents, goes unnoticed. Example, fraud, risk, non-compliance, business opportunities, etc.
The advent of AI-based Large Language Models (LLMs), are important new technologies for solving this problem.
Whereas LLMs are revolutionary in the way they can process documents, Trillo Doc AI is a platform that automates the end to end process including ingesting documents, processing using LLM, managing documents repositories, and distribution of mined information.
It does so securely at scale.
Trillo Doc AI lets you validate these, for your specific problem, in days and deploy applications in weeks.
Trillo Doc AI finds its use cases in several industry verticals. These use cases fall under one of the four patterns listed below.
Documents that are majority text such as articles, websites, manuals, marketing reports, legal documents, etc.
Doc AI provides precise search, and question-answers using natural language. It also provides summarization for an overview.
Customer service portals, contract analysis, project management, summary of marketing materials, etc. are use cases that are applicable to variety of industries.
Documents that are majority data such as, purchase orders, invoices, bank statements, tax documents, lab reports, etc.
Doc AI extracts data from these documents and stores in databases or sends to another application. The accuracy is important for the productivity.
Financial, health care, manufacturing, etc. have multiple uses cases of this patten.
Documents that contain a mix of text and data such as leases, insurance policies / claims, medical transcript.
Doc AI provides data extraction, data queries and text search using natural language sentences. It also provides summarization for an overview.
Insurance, finance, healthcare, manufacturing, constructions, retails, government, etc. have several use cases of this pattern.
This pattern is applicable to any of the above patterns.
In this case a set of documents are matched against a requirement document.
Examples, matching job requirements against resumes, compliance documents against contract, invoice against tax code, medical transaction against insurance code.
This is generic pattern that can applied to several industries for compliance, governance, and requirement matching.
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Trillo Doc AI is a modern content management system using Large Language Models (LLMs). It converts content into actionable data and searchable information. It consists of the following stages:
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Trillo File Manager provides a simple, easy-to-use file management system for storing and managing files in Google Cloud Storage Buckets.
Trillo Workbench is your application's operating system for the cloud. Workbench provides 80% of the full stack code. You provide the workflows, logic, and UI, and Trillo Workbench does the rest.
Trillo provides a full service of Trillo Doc AI including customization, ongoing operation and maintenance through its partner ecosystem. In addition to that it provides the following services:
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Creating a scalable, secure, and personalizable telemedicine platform for affordable and convenient consults with patients
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Trillo uses AI and Trillo Workbench to streamline and scale a very large data pipeline
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