Make Your Data RAG-Ready

Unstructured AI by Multimodal is a sophisticated Extract, Transform, Load (ETL) layer designed to process complex, unstructured document formats for RAG architectures or downstream GenAI applications.

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Serverless
api
multi-format data support
clean, production-grade results

AI That Processes Information

Unstructured AI

Extract, Transform, Load (ETL) layer to process complex, unstructured documents for RAG or GenAI applications.

Document AI

Trained on your schema to extract, label, and organize data from loan applications, claims, PDF reports, and more.

Process

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Conversational AI

Database AI

Search

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Decision AI

Decision

Report AI

Create

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Unstructured AI Saves You Millions of Dollars and Countless Hours

Most companies trying to adopt RAG or AI applications struggle with organizing, cleaning, and preprocessing data.

70%

Percentage of Gen AI projects that never make it to production Due to hallucinations/Bad data.

$3.1 trillion

Annual cost of poor data quality in the US, mainly stemming from unstructured data.

80%

Amount of time spent on data cleaning while developing generative AI applications.

90%

Percentage of enterprises fearing AI deployment failure due to poor data quality.

How Unstructured AI Works

Structuring All Types of Messy Data Wherever It’s Stored

Unstructured AI extracts multiple types of unstructured data wherever it lives and converts it into a structured JSON compatible with all major vector databases and RAG frameworks.

Key Features

Intelligent Chunking

Breaks down text into semantically-relevant, bite-sized components for better data analysis.

Table Extraction

Converts tables into database-friendly formats, facilitating easier data manipulation.

Chart Processing

Extracts charts as images and provides semantic text descriptions, enhancing data comprehension.

Hierarchical Text Retention

Maintains nested text relationships while filtering out irrelevant elements like sidebars and footers.

Security & Data Privacy First

Flexible deployment

Our automation software is deployed on your infrastructure, either on your virtual private cloud (VPC) or on-premises.

Data security

Your data stays within your systems, ensuring user privacy and compliance with regulations, enhancing business security.

Enhanced protection

This setup safeguards your users, keeping your operations secure and compliant.

Security & Trust

Why Your Enterprise Needs Unstructured AI

LLM and RAG applications need clean and processed data. Unstructured AI is perfect for large-enterprises looking to unlock the full potential of Generative AI applications.

Better Than OCR

Provides significantly better results than basic OCR solutions because it utilizes OCR along with the multimodal capabilities of large language models.

Multiple File Type Support

Extract and process data from PDFs, images, word documents, emails, spreadsheets, JSON, HTML, CSV, TSV, Org Files, RST, XML, and more.

Flexible API

Serverless API that preprocesses data without custom code, making it highly efficient for large-scale data transformation. The API lives where your data does, so there’s minimal friction and zero manual data transfer.

Downstream Application Support

Build downstream AI applications with Multimodal’s diverse AI Agents that can process documents, make decisions, query databases, generate company-specific reports, and act as chatbots.

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How We’ve Helped Our Clients Save Time and Money

Read More
20x faster
application approval process
Automating Mortgage Application Workflow With AI Agents
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95%+
accuracy in data extraction
Automating Insurance Underwriting with Customized AI Solutions
Read case study
100%
Automation of contract cancelability determination
Transforming Loan Underwriting with AI-Driven Contract Analysis
Read case study
90%
Reduction in response time
Streamlining Mortgage Processing with Custom Gen AI Solutions
Read case study
1 AI Agent
answering queries using natural language
Boosting Customer Satisfaction With Quick and Accurate Responses
Read case study
20x faster
application approval process
Automating Mortgage Application Workflow With AI Agents
Read case study
100%
Automation of contract cancelability determination
Transforming Loan Underwriting with AI-Driven Contract Analysis
Read case study
90%+
Accuracy across a wide variety of transcript formats
Custom AI Solutions Deliver Fast and Reliable Data Extraction for Student Loans
Read case study

FAQs

What type of documents can I process with Unstructured AI?

Unstructured AI can process 20+ different types of documents, including PDFs, images, word documents, emails, spreadsheets, JSON, HTML, CSV, TSV, Org Files, RST, XML, and more.

How much time does it take for you to build and deploy Unstructured AI?

It takes us about 4-6 weeks to develop a pilot for your specific use case and about 3 months to develop a complete solution.

My company doesn’t allow SaaS products. Can I still use Unstructured AI?

Absolutely. Unstructured AI is unlike traditional SaaS products because your data does not leave your walls. We build and deploy it on-premises or on the virtual private cloud your company uses.

How will you use my data for training your models?

We will use your internal data to fine tune Unstructured AI, but we will not store it outside of your company’s data cloud or storage system. Our use of data abides by all data privacy regulations as well.

What does Unstructured AI cost?

We charge $10 per 1000 pages processed, but this cost can differ based on your specific needs. To know more about our cost structure, book a demo here.