Unstract
4.71
0
Unstract processes and structures unstructured data with AI, enhancing document accuracy in insurance and finance.
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:
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Understand Unstract: Unstract is an AI tool that processes unstructured data, providing insights and automating manual tasks in various industries like finance and insurance.
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Data Processing: Utilize features like LLMWhisperer and LLMEval to optimize data extraction and validation for accuracy.
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Industry Applications: Apply Unstract in insurance automation to enhance document processing speed and accuracy for claims, underwriting, and KYC procedures.
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Key Components: Learn about LLMWhisperer for optimal data presentation, LLMeval for accuracy validation, and LLMObservability for project monitoring.
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ETL Pipelines: Use ETL Pipelines to integrate unstructured data workflows seamlessly into existing applications.
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Automation Hub: Benefit from the Automation Hub feature to automate the structuring of common unstructured documents like insurance policies, quotes, and reports.
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API Hub Integration: Integrate Unstract seamlessly into apps using the API Hub, which supports common document types and allows for easy data extraction.
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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.
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DocDialog Technology: Engage in natural document conversations through DocDialog, enabling direct queries to documents with support for various document sources.
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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
Cons
- Dependence on LLMs
- May lack flexibility
- Unknown processing speed
- Requires LLM understanding
- Limited document type support
- Confidence scores may vary
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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
Get started with Unstract
Unstract reviews
Mateo Guzman
February 17, 2025
What do you like most about using Unstract?
The efficiency of automated data processing is impressive. It saves a lot of time and resources.
What do you dislike most about using Unstract?
The interface could use some modernization. It feels a bit clunky compared to other tools.
What problems does Unstract help you solve, and how does this benefit you?
Unstract has improved our data handling capabilities, allowing us to process client information much faster and with fewer errors.
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Emilia Klein
March 1, 2025
What do you like most about using Unstract?
Unstract's ability to process and structure unstructured data is phenomenal. The LLMWhisperer feature allows us to extract relevant data from complex documents quickly, saving us countless hours of manual work.
What do you dislike most about using Unstract?
While the tool is generally intuitive, I sometimes find the setup phase to be a bit time-consuming. A more streamlined onboarding process would be beneficial, especially for new users.
What problems does Unstract help you solve, and how does this benefit you?
Unstract has significantly improved our document processing accuracy in insurance claims. By automating data extraction and validation, we reduce errors and speed up claims processing, which ultimately enhances customer satisfaction.
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Ravi Singh
January 29, 2025
What do you like most about using Unstract?
The integration capabilities with our existing systems are excellent. Unstract works seamlessly with our CRM, which allows for a smoother workflow and improves overall efficiency.
What do you dislike most about using Unstract?
The only minor issue I've encountered is that the documentation could be more detailed, especially regarding advanced features. More examples would help users utilize the tool fully.
What problems does Unstract help you solve, and how does this benefit you?
Unstract helps us streamline our KYC procedures by structuring customer data effectively. This not only speeds up the onboarding process but also ensures compliance with regulations, reducing potential risks.
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