2025 Class
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.
Book a DemoServerless api
multi-format data support
clean, production-grade results
Industry Recognition
Recognized and trusted by industry leaders in finance, insurance, and AI
Learn More
Cloud AI Accelerator 2025
Fintech 2024
Insurance & Wealth 2024
Finance & Insurance 2024
South Summit Future of Work 2024
AI Top 100 2024
NJFAST by Plug and Play 2024
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.
Conversational AI
Database AI
Decision AI
Report AI
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
AgentFlow runs as a managed platform with customer data separated by account; private cloud options can be evaluated and scoped separately.
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.
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.
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. AgentFlow runs as a managed platform with customer data separated by account; private cloud options can be evaluated and scoped separately.
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.