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Unstract

Unstract processes and structures unstructured data with AI, enhancing document accuracy in insurance and finance.
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Unstract

What is Unstract?

Unstract is an Artificial Intelligence-driven tool that processes and structures unstructured data into ready-to-use formats, enabling automation of manual processes. It utilizes features such as LLMWhisperer, LLMeval, and LLMObservability to optimize data extraction and validation processes. Unstract finds common application in industries like insurance and finance, enhancing document processing accuracy in areas such as insurance claims, underwriting, and KYC procedures. The tool also ensures data security and privacy compliance while offering convenient integration into existing workflows. For more detailed information about Unstract's features and applications, you can refer to the provided document.

Who created Unstract?

Unstract was created by an individual named "Michelle H. and Alex W.". Here is a concise overview:

Unstract was launched on December 15, 2023, by its founders Michelle H. and Alex W. The company specializes in AI-driven tools for processing unstructured data, offering features like LLMWhisperer, LLMeval, and LLMObservability. Unstract provides a no-code platform for structuring data and automation of manual processes in industries such as finance and insurance. The tool ensures data security and compliance with various regulations.

What is Unstract used for?

  • Automates Insurance claims process
  • Automates underwriting process
  • Automates KYC procedures
  • 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
  • Monitors data-LLM interactions
  • Prompt Studio supports ETL Pipeline deployment
  • Prompt Studio supports API Endpoints deployment

Who is Unstract for?

  • Insurance professionals
  • Finance professionals
  • Insurance claims processing
  • Underwriting
  • Know-Your-Customer (KYC) procedures
  • Finance Automation
  • Insurance automation

How to use Unstract?

To use Unstract effectively, follow these steps:

  1. Understand Unstract: Unstract is an AI tool that processes unstructured data, providing insights and automating manual tasks in various industries like finance and insurance.

  2. Data Processing: Utilize features like LLMWhisperer and LLMEval to optimize data extraction and validation for accuracy.

  3. Industry Applications: Apply Unstract in insurance automation to enhance document processing speed and accuracy for claims, underwriting, and KYC procedures.

  4. Key Components: Learn about LLMWhisperer for optimal data presentation, LLMeval for accuracy validation, and LLMObservability for project monitoring.

  5. ETL Pipelines: Use ETL Pipelines to integrate unstructured data workflows seamlessly into existing applications.

  6. Automation Hub: Benefit from the Automation Hub feature to automate the structuring of common unstructured documents like insurance policies, quotes, and reports.

  7. API Hub Integration: Integrate Unstract seamlessly into apps using the API Hub, which supports common document types and allows for easy data extraction.

  8. Prompt Studio: Use the no-code Prompt Studio feature to extract structured data from documents, compare results, and integrate them into API endpoints or ETL Pipelines.

  9. DocDialog Technology: Engage in natural document conversations through DocDialog, enabling direct queries to documents with support for various document sources.

  10. Data Security: Trust Unstract's adherence to compliance rules for data safety, security, and privacy throughout the data processing stages.

By following these steps, you can effectively leverage Unstract's capabilities in processing unstructured data and automating document workflows.

If you wish to explore further details or functionalities, consider referring to the complete guide provided in the Unstract documentation.

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
Cons
  • 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

Unstract Pricing and plans

Paid plans start at $416/month and include:

  • 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

Unstract FAQs

What is Unstract and what does it do?
Unstract is an Artificial Intelligence-driven tool that unlocks insights from unstructured data by processing and structuring it into ready-to-use formats, automating manual processes, and ensuring data safety, security, and privacy.
How does Unstract process and structure unstructured data?
Unstract uses a no-code AI platform with LLMWhisperer, LLMEval, and LLMObservability to turn raw unstructured data into structured formats.
In which industries is Unstract most commonly applied?
Unstract is commonly applied in industries dealing with large amounts of unstructured data, particularly in insurance and finance for tasks like document processing in insurance claims, underwriting, and KYC procedures.
How does Unstract enhance the accuracy of document processing in insurance claims?
Unstract enhances accuracy using features like LLMeval and LLMWhisperer, which optimize data extraction and validate accuracy through Large Language Models.
What role does Unstract play in underwriting and KYC procedures?
In underwriting and KYC procedures, Unstract expedites and enhances data processing with AI and LLMs, leading to validated data for seamless integration into workflows.
Can Unstract be integrated into existing applications?
Yes, Unstract can be integrated into existing applications through ETL Pipelines and API deployments, facilitating the handling of unstructured data without direct involvement with LLMs.
How does Unstract ensure data remains safe, secure, and private?
Unstract ensures data security by adhering to compliance authorities' rules and regulations, implementing robust systems and processes for data safety at all stages.

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