2025 Class
Process Complex Documents with Generative AI
Document AI classifies, extracts, and organizes data from structured and unstructured documents like loan applications, claims reports, policies, and more. It is an AI Agent trained on your schema to ensure accuracy.
Book a DemoMulti-format document support
End-to-end integration
Tailor-built for your company’s workflows
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
Document AI Reduces Manual Data Processing Work & Makes Your Team More Efficient
Manual data extraction from complex documents makes your employees slow, inefficient, and frustrated. Within finance and insurance, all workflows start with a large number of scattered documents.
40%
workers spend over a quarter of their work week manually processing data.
80%
amount of manual data entry work that can be automated in finance/insurance.
83%
workers who spend about 3 hours a day fixing manual data entry errors.
How Document AI Works
Tailored to Your Company’s Most Complex Documents
Document AI can extract, classify, and label multiple data formats from structured and unstructured documents, integrating with existing software stack to make your workflow smoother.
Key Features
Data Extraction
Trained on your custom schema, letting you extract data automatically into your desired fields.
Data Normalization
Normalize all data, gather insights, and make comparisons automatically.
Document Classification
Classify documents according to any variable that matters, such as department, confidentiality level, or project.
Zero Bounding Box Annotations
Quickly implement new document types without manual annotations, adapting to various layouts effortlessly.
JSON Output
Simplify API interactions and maintain nested hierarchies for seamless integration with downstream applications.
Pixel Coordinates
Provide precise spatial context for extracted text, enabling easier visual verification and layout-agnostic processing.
Flexible Schema
Easily customize fields to adapt to new document formats and changing requirements.
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 Document AI
Complex workflows in finance and insurance involve a large volume of multi-format documents. Document AI is perfect for large-enterprises looking to make workflows more efficient and reduce manual work.
Multimodal Document Type Support
Extract and process data from PDFs, images, word documents, emails, spreadsheets, and more.
Flexible API
API setup that plugs into your software stack and document management systems. The API lives where your data does, so there’s minimal friction and zero manual data transfer.
End-to-end Workflow Automation Support
Besides Document AI, you can use Multimodal’s other AI Agents to automate your entire workflow regardless of its complexity or type.
Self-Learning
Continuously improve through human feedback, reducing errors and handling rare documents better over time.
Confidence Scores
Enable targeted manual review, increasing efficiency and overall accuracy.
FAQs
What type of documents can I process with Document AI?
Document 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 Document 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 Document 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 finetune Document 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.