What is Unstract?
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.
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
Unstract FAQ
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.
