Unstract

About Unstract

Unstract is a no-code platform that automates document processing workflows by utilizing large language models (LLMs) for unstructured data extraction across various document formats. This technology reduces manual processing time and improves accuracy in tasks such as claims processing and insurance underwriting.

```xml <problem> Many organizations struggle with the time-consuming and error-prone manual processing of unstructured data trapped in diverse document formats. Extracting relevant information from these documents is often a bottleneck, hindering efficient workflows and delaying critical decision-making. </problem> <solution> Unstract is a no-code, open-source platform that leverages large language models (LLMs) to automate document processing workflows and extract structured data from unstructured sources. The platform eliminates the need for manual annotations and streamlines the extraction process across various document types, including bank statements, insurance claims, and financial reports. By using a dual-LLM challenge system, Unstract ensures data accuracy and minimizes hallucinations, providing reliable and consistent results. The platform offers APIs and ETL pipelines to integrate with existing applications and data warehouses, enabling end-to-end automation of document-centric processes. </solution> <features> - No-code interface for designing and deploying document processing workflows - LLMChallenge system using dual LLMs to validate extracted data and minimize errors - SinglePass Extraction to reduce token usage and processing costs - Summarized Extraction to create compact versions of input documents for efficient LLM processing - LLMWhisperer service to optimize complex documents for LLM consumption, including layout preservation and handwritten text detection - Pre-built integrations with various LLMs, vector databases, and embedding models - Prompt Studio for rapid prompt engineering and version control - APIs and ETL pipelines for seamless integration with existing systems </features> <target_audience> Unstract targets organizations in industries such as finance and insurance that handle large volumes of unstructured documents and seek to automate data extraction for improved efficiency and accuracy. </target_audience> ```

What does Unstract do?

Unstract is a no-code platform that automates document processing workflows by utilizing large language models (LLMs) for unstructured data extraction across various document formats. This technology reduces manual processing time and improves accuracy in tasks such as claims processing and insurance underwriting.

Where is Unstract located?

Unstract is based in Los Altos, United States.

How much funding has Unstract raised?

Unstract has raised 5200000.

Location
Los Altos, United States
Funding
5200000
Employees
26 employees

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Unstract

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Executive Summary

Unstract is a no-code platform that automates document processing workflows by utilizing large language models (LLMs) for unstructured data extraction across various document formats. This technology reduces manual processing time and improves accuracy in tasks such as claims processing and insurance underwriting.

unstract.com1K+
cb
Crunchbase
Los Altos, United States

Funding

$

Estimated Funding

$5M+

Team (25+)

No team information available.

Company Description

Problem

Many organizations struggle with the time-consuming and error-prone manual processing of unstructured data trapped in diverse document formats. Extracting relevant information from these documents is often a bottleneck, hindering efficient workflows and delaying critical decision-making.

Solution

Unstract is a no-code, open-source platform that leverages large language models (LLMs) to automate document processing workflows and extract structured data from unstructured sources. The platform eliminates the need for manual annotations and streamlines the extraction process across various document types, including bank statements, insurance claims, and financial reports. By using a dual-LLM challenge system, Unstract ensures data accuracy and minimizes hallucinations, providing reliable and consistent results. The platform offers APIs and ETL pipelines to integrate with existing applications and data warehouses, enabling end-to-end automation of document-centric processes.

Features

No-code interface for designing and deploying document processing workflows

LLMChallenge system using dual LLMs to validate extracted data and minimize errors

SinglePass Extraction to reduce token usage and processing costs

Summarized Extraction to create compact versions of input documents for efficient LLM processing

LLMWhisperer service to optimize complex documents for LLM consumption, including layout preservation and handwritten text detection

Pre-built integrations with various LLMs, vector databases, and embedding models

Prompt Studio for rapid prompt engineering and version control

APIs and ETL pipelines for seamless integration with existing systems

Target Audience

Unstract targets organizations in industries such as finance and insurance that handle large volumes of unstructured documents and seek to automate data extraction for improved efficiency and accuracy.

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