Unstract is an AI-driven tool designed to unlock insights from unstructured data. As a no-code platform, it processes and structures unstructured data, turning them into ready-to-use formats, making it particularly useful in automating laborious manual processes.

The tool has application in several industries, especially in the fields of insurance and finance. For instance, it assists in expediting and enhancing the accuracy of document processing in insurance claims, underwriting, and KNOW-YOUR-CUSTOMER (KYC) procedures.Some notable features of Unstract include: LLMWhisperer, LLMeval, and LLMObservability.

The LLMWhisperer component is designed to optimize the presentation of data from complex documents to Large Language Models (LLMs). LLMEval, on the other hand, uses two independent LLMs to validate extracted data's accuracy, providing confidence scores.

LLMObservability monitors data interactions throughout a project, from its development stages to its production, providing visibility of how your data interacts with LLMs.Moreover, Unstract offers features like ETL Pipelines and API deployments to integrate unstructured data workflows into existing applications.

The Automation Hub feature can structure various common unstructured documents, enhancing operational efficiency. And, with the API Hub, apps can manage unstructured data without dealing directly with LLMs.

Unstract also presents a no-code feature called Prompt Studio, which extracts structured data from any document.Lastly, Unstract doesn't ignore the aspect of user interaction.

It offers a DocDialog technology that allows users to interact naturally with their documents. Overall, this tool stands out for its adherence to strict rules and regulations of various compliance authorities, ensuring your data always remains safe, secure, and private.

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Document processing Unstract 5.0(3)

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Comments(2)

Ali

Apr 8, 2024

A great solution for unstructured docs to structured format.

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Kevin O'Brien

Apr 4, 2024

No engineering lift and accurate results. Great solution.

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Unstract was manually vetted by our editorial team and was first featured on March 27th 2024.

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Pros and Cons

Pros

No-code platform

Processes unstructured data

Automation of manual processes

Useful in finance and insurance

Accurate document processing

Expedited processing

LLMWhisperer for optimized data presentation

LLMEval for data accuracy validation

LLMObservability for comprehensive project monitoring

Features ETL Pipelines for integration

API deployments for application integration

Automation Hub for unstructured documents

API Hub for app data management

Prompt Studio for no-code structured data extraction

DocDialog for natural document interaction

Compliant with strict rules and regulations

Ensures data security

Automates Insurance claims process

Automates underwriting process

Automates KYC procedures

Monitors data-LLM interactions

Assists in finance automation

Assists in insurance automation

API Hub supports common document types

Custom document format support

Handles unstructured data in applications

Pre-built document APIs for easy data extraction

Prompts Studio supports ETL Pipeline deployment

Prompts Studio supports API Endpoints deployment

Features Document classification Task Pipeline

Prompts Studio able to load multiple documents simultaneously

Visual debugging available

Prompts Studio built-in eval and observability

DocDialog offers natural conversation-like interaction with documents

DocDialog supports wide range of source documents

Single Sign-On (SSO) support

Intuitive chat interface

Data privacy ensured

Cons

Limited industry focus

Dependence on LLMs

May lack flexibility

Unknown processing speed

Requires LLM understanding

Limited document type support

Confidence scores may vary

No mention of scalability

No indication of integration ease

No multi-language support

Q&A

What is Unstract and what does it do?

Unstract is an Artificial Intelligence-driven tool that unlocks insights from unstructured data. It's a no-code platform that processes and structures unstructured data into ready-to-use formats, which helps automate manual processes. With Unstract, data can be extracted, validated, monitored and integrated into existing applications seamlessly. Its features include LLMWhisperer, LLMeval, LLMObservability, ETL Pipelines, Automation Hub, API Hub, and Prompt Studio. Unstract also values user interaction, offering DocDialog technology that allows for natural interaction with documents. It strictly adheres to various compliance authorities' rules and regulations, ensuring data safety, security, and privacy.

How does Unstract process and structure unstructured data?

Unstract processes unstructured data using a no-code AI platform, turning raw unstructured data into ready-to-use structured formats. It uses several propriety technologies including LLMWhisperer, LLMEval, and LLMObservability. The LLMWhisperer module fine-tunes data from complex documents to Large Language Models (LLMs), and LLMEval utilizes two independent LLMs to validate the accuracy of extracted data.

In which industries is Unstract most commonly applied?

Unstract finds its most common application in industries that deal with large amounts of unstructured data. Primary among these are the insurance and finance industries. It assists in speeding up and enhancing the accuracy of document processing in insurance claims, underwriting, and KNOW-YOUR-CUSTOMER (KYC) procedures.

How does Unstract enhance the accuracy of document processing in insurance claims?

Unstract enhances the accuracy of document processing in insurance claims using features like LLMeval and LLMWhisperer. LLMeval ensures accuracy by using two separate Large Language Models (LLMs). One LLM extracts the required information, and the other validates the accuracy of that data, providing confidence scores. LLMWhisperer optimally presents data from complex documents to LLMs, ensuring coherent and accurate extraction.

What role does Unstract play in underwriting and KYC procedures?

In underwriting and KYC procedures, Unstract expedites and enhances data processing using Artificial Intelligence and Large Language Models (LLMs). The extracted data undergoes validation for optimal accuracy, enhancing the overall process's efficiency and reliability. The data is then structured into ready-to-use formats for seamless integration into the existing workflows.

Can you explain what LLMWhisperer, LLMeval, and LLMObservability are?

LLMWhisperer, LLMeval, and LLMObservability are key components in Unstract. LLMWhisperer is a technology designed to present data from complex documents to Large Language Models (LLMs) optimally. LLMeval, on the other hand, employs two separate LLMs to extract and validate the accuracy of data, providing confidence scores in the process. LLMObservability provides visibility into how your data interacts with LLMs by monitoring data interactions throughout a project, from the development stages to its production.

How does LLMEval validate the accuracy of extracted data?

LLMEval validates the accuracy of the extracted data by employing two independent Large Language Models (LLMs). One LLM is used to extract the needed information from unstructured data, while the other is used to evaluate the extracted data for accuracy. Following this evaluation, confidence scores are provided, ensuring the reliability of the extracted information.

What is ETL Pipelines and how does it work with Unstract?

ETL Pipelines is a feature offered by Unstract that integrates unstructured data workflows into existing applications. With Unstract's ETL Pipelines, you can structure unstructured documents and move data into your data warehouse. This feature ensures that there is no difference between unstructured and structured data, facilitating the analysis and activation of the data.

What does the Automation Hub feature in Unstract do?

The Automation Hub feature in Unstract structures various common unstructured documents, enhancing operational efficiency. With Automation Hub, the processing of documents like insurance policies, quotes, reports, or contracts is automated by the AI, which structures the data instantly. With a single click, the extracted data can be downloaded as an Excel or CSV file, saving hours of manual work.

How can apps manage unstructured data with Unstract’s API Hub?

With Unstract's API Hub, applications can handle unstructured data without needing to directly engage with Large Language Models (LLMs) or associated ecosystem tools. The API Hub supports various common document types and can be easily integrated with existing applications. The Hub allows for the easy extraction data into workflow integration, and even supports the addition of custom document formats through the Prompt Studio.

Can you describe what the no-code feature Prompt Studio does?

Prompt Studio is a no-code feature in Unstract that helps extract structured data from any document. Users can load multiple documents of the same class to get consistent results. The platform also allows for result comparisons between various triads, including the combination of an LLM, an embedding model, and a vector database. The results can then be integrated as API endpoints or ETL Pipelines, promoting automation and increasing efficiency.

What is Unstract's DocDialog technology?

DocDialog is a technology in Unstract that allows users to have a natural conversation with their documents. Instead of keyword searches, users can ask questions directly to their documents. DocDialog supports conversation with documents from a wide variety of sources, controlled access through SSO support, and an intuitive chat interface for user convenience.

How does Unstract ensure data remains safe, secure, and private?

Unstract ensures data remains safe, secure, and private by adhering to rules and regulations of various compliance authorities. It has robust systems and processes in place that ensure data security at all stages, from collection and processing to storage and transmission.

How does Unstract adhere to the rules and regulations of compliance authorities?

Unstract adheres to the strict rules and regulations of various compliance authorities. It has stringent systems and processes in place to ensure compliance with legal and regulatory frameworks. These may include data protection standards, industry-specific regulatory compliance, and adhering to principles of legitimacy, transparency, and accountability in data use.

What makes Unstract stand out from other AI tools?

Unstract stands out from other AI tools due to its unique set of features designed to optimize the handling of unstructured data. Besides providing robust processing and structure to unstructured data, it offers unique components: LLMWhisperer, LLMeval, and LLMObservability. Its no-code platform facilitates easy integration into existing workflows, and it allows natural dialogue with documents through the DocDialog technology. Additionally, Unstract's strict adherence to rules and regulations of various compliance authorities ensures optimal data safety and security.

Can Unstract be integrated into existing applications?

Yes, Unstract can be integrated into existing applications. With its ETL Pipelines and API deployments, Unstract seamlessly integrates unstructured data workflows into existing applications. It also enables existing applications to handle unstructured data without having to deal directly with LLMs or associated ecosystem tools through its API Hub.

How does Unstract assist in insurance automation?

Unstract assists in insurance automation by streamlining document processing and improving accuracy. It reduces turnaround times, thereby making insurance claims processing and underwriting more efficient. The tool uses AI and Large Language Models (LLMs) to extract, validate, and structure data from various documents related to insurance automation, such as in the processes of claims triaging and underwriting.

How can I schedule a demo for Unstract?

You can schedule a demo for Unstract by visiting the website and clicking on the 'Schedule a Demo' option. This will lead you to a reservation page where you can choose a suitable date and time for the demonstration.

Does Unstract support custom document formats?

Yes, Unstract does support custom document formats. With the help of the Prompt Studio feature in Unstract's API Hub, support for custom document formats can be added to applications. In addition, Unstract's pre-built document APIs make it easy to integrate data extraction into workflows, simplifying the handling of a variety of document types.

How can Unstract's API Hub eliminate the need for dealing directly with LLMs?

Unstract's API Hub eliminates the need for apps to deal directly with Large Language Models (LLMs) by offering a system that can handle unstructured data. Any app will be able to handle unstructured data without the heavy lifting of managing LLMs or associated ecosystem tools. The API Hub already supports various common document types and allows the addition of custom document formats through the Prompt Studio.