Document AI

Insurance Claim Document AI

Easily extract your Insurance Claim data using cutting age AI, powered by enterprise-grade GenAI and LLMs.

G2 Review
Sequoia Top 10 Leader
Digital Insurance Agenda DIA Winner

"DeepOpinion's zero-touch processing is unbelievable—it's four times more efficient than anything else we've seen!"

Trusted by enterprises large and small
SIEMENS
SIEMENS
BitPanda
Uelzener
Tirol
Markel
Dubai
Egger
UAE Ministry of Education
LIVE DEMO

Try Insurance Claim
processing for free

Experience the power and simplicity of Insurance Claim data extraction with GenAI and domain-tuned LLMs.

Flat fields

additional expenses amount
additional expenses description
additional information
cause of loss
claim number
claims handler
currency
date of claim
date of loss
description of loss
interest rate
payment
policyholder name
prepayment
policyholder date of birth
policyholder e-mail address
prepayment penalties
policyholder phone number
Status Code
total loss amount
type of claim
type of loss
value of loss

Column names

No items found.
Security you can count on
THE PRODUCT
What is Insurance Claim automation?

Insurance Claim Automation utilizes advanced AI and machine learning to streamline the insurance claim process, significantly enhancing operational efficiency and overall business performance. Leveraging DeepOpinion's AI Hub, this leading-edge technology can handle millions of document layouts, extracting key information such as claim details, policyholder information, date and time of incident, type of loss, and damage assessment, irrespective of document structure or format.

This robust automation eliminates the pain points of traditional OCR dependence on layouts and positional info, reducing error rates by 20x and handling 99% of global variation with one LLM. DeepOpinion's AI Hub requires zero-training and offers pre-tuned, domain-specific LLMs, allowing businesses to create powerful models in minutes and achieve over 98% accuracy with 20x less data.

Further, the continuous learning loop ensures AI performance improves over time, enhancing straight-through processing. This AI-driven transformation of insurance claims processing translates into significant cost savings, faster claim settlements, and improved customer satisfaction, positioning businesses for sustained growth in a competitive marketplace.

THE DEEPOPINION DIFFERENCE
Why Choose DeepOpinion's Generative Insurance Claim processing?

Build Enterprise-Grade AI Apps

Create AI applications in minutes to process your documents without  using code.

Maximum Accuracy & Versatility

A single model can handle millions of different layouts with high accuracy, without the need for templates.

Zero-Training Needed

Use customizable pre-trained models that require no additional training, facilitating immediate deployment.

Continuous Accuracy Improvement

As new data is introduced, the Document AI enhances its accuracy through an automated learning loop.

Control Data Output

Easily manage data output and formats with features for data matching and the ability to loop in humans for review.

Testimonials

What customers are saying

"I was shocked by the leap in performance. Truly next-level straight through processing"

Frequently asked questions

What makes DeepOpinion’s approach to Insurance Claim processing different from traditional OCR solutions?

DeepOpinion's approach to Insurance Claims processing leverages the power of Large Language Models (LLMs) to handle a wide variety of document layouts and variations. Traditional OCR solutions depend on predefined layouts and position-based information, limiting their ability to process global variations, semi/unstructured documents, and complex layouts. In contrast, DeepOpinion's AI Hub uses domain-tuned LLMs that can handle 99% of global variations, reducing error rates by 20 times. These models have been trained on millions of documents. In one particular example, it processed more than 35000 layouts with over 98% accuracy. DeepOpinion's solutions also address the common pain point of time-consuming and data-hungry model training, which is a typical requirement of traditional OCR solutions. DeepOpinion's AI Hub uses Generative LLMs that do not require data training, allowing for rapid model building. Users simply describe what they want to achieve, and the AI takes care of the rest. For more complex tasks, Domain-tuned LLMs that require only 50-100 training examples are used, achieving over 98% accuracy. This approach not only eliminates the need for large datasets and constant model updating but also significantly reduces the time and resources spent on model training. Another key differentiator is DeepOpinion's emphasis on continuous learning and scalability. While traditional OCR solutions often plateau in performance and struggle to manage model drift, DeepOpinion's AI models continuously improve as more data is passed through them and corrections are made. This is facilitated through advanced model-listening, automated continuous learning loops, and data network effects. Furthermore, the AI Hub's low-code/no-code AI designer and system integration capabilities allow for easy design, implementation, and scaling of AI solutions across teams and systems. This, coupled with automated error handling and compliance validation, ensures efficient and secure document processing.

How easy and fast is it to start seeing results?

DeepOpinion enables rapid deployment and integration, allowing users to see immediate results. The platform's pre-trained models and zero-shot capabilities mean that powerful AI applications can be developed and deployed within minutes, without the need for extensive data training or technical expertise.

Do I need to train or label data?

No initial training or labeling is required to start with DeepOpinion. The platform uses pre-trained models that are highly efficient and effective right out of the box, handling 99% of global document variations. These models can achieve 98%+ accuracy without the need for custom templates, pixel rules, or extensive labeled datasets, significantly reducing reliance on large amounts of training data traditionally required for AI systems.

However, for those seeking to fine-tune performance beyond 98% accuracy, DeepOpinion is designed to be 20x more data-efficient compared to traditional models. Where competitors might require 1,000-2,000 samples to improve model accuracy, DeepOpinion can achieve substantial accuracy improvements with just 50-100 examples. This unique feature allows for highly efficient, targeted learning that enhances the AI's capabilities with minimal data input, making DeepOpinion a highly adaptable and efficient choice for optimizing document processing AI performance.

How can I integrate it into my other software tools and systems?

DeepOpinion can be securely and robustly integrated with over 200+ enterprise systems, including RPAs, BPMs, databases, chatbots, and more, via API. The platform supports REST API for seamless connectivity, facilitating easy and fast integration into existing software landscapes and enabling drag & drop live integrations.

Does DeepOpinion offer Human in the Loop capabilities?

Yes, DeepOpinion offers advanced Human in the Loop (HITL) capabilities, allowing for exception handling and precision improvement through human oversight. The platform's HITL interface and active learning sessions identify low-confidence data points that, if interpreted by a human, could significantly enhance performance, ensuring efficient and continuous improvement of AI accuracy.

Which languages do you support?

DeeOpinion offers robust language support for text and document processing, covering the official language or predominant spoken language in 182 countries. Specifically, it provides processing capabilities for 100+ languages for text and 55+ languages for documents.

Text Processing Languages Supported:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali (Romanized), Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Czech, Danish, Dutch, English (US), English (GB), Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uzbek, Vietnamese, Welsh, Xhosa, and Yiddish.

Document Processing Lanuages Supported:

For document processing we support: Afrikaans, Albanian, Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Croatian, Czech, Danish, Dutch, English (US), English (GB), Estonian, Farsi (Persian), Filipino (Tagalog), Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.

Experience the difference
of Generative Automation

Frequently asked questions

What makes DeepOpinion’s approach to Insurance Claim processing different from traditional OCR solutions?

DeepOpinion's approach to Insurance Claims processing leverages the power of Large Language Models (LLMs) to handle a wide variety of document layouts and variations. Traditional OCR solutions depend on predefined layouts and position-based information, limiting their ability to process global variations, semi/unstructured documents, and complex layouts. In contrast, DeepOpinion's AI Hub uses domain-tuned LLMs that can handle 99% of global variations, reducing error rates by 20 times. These models have been trained on millions of documents. In one particular example, it processed more than 35000 layouts with over 98% accuracy. DeepOpinion's solutions also address the common pain point of time-consuming and data-hungry model training, which is a typical requirement of traditional OCR solutions. DeepOpinion's AI Hub uses Generative LLMs that do not require data training, allowing for rapid model building. Users simply describe what they want to achieve, and the AI takes care of the rest. For more complex tasks, Domain-tuned LLMs that require only 50-100 training examples are used, achieving over 98% accuracy. This approach not only eliminates the need for large datasets and constant model updating but also significantly reduces the time and resources spent on model training. Another key differentiator is DeepOpinion's emphasis on continuous learning and scalability. While traditional OCR solutions often plateau in performance and struggle to manage model drift, DeepOpinion's AI models continuously improve as more data is passed through them and corrections are made. This is facilitated through advanced model-listening, automated continuous learning loops, and data network effects. Furthermore, the AI Hub's low-code/no-code AI designer and system integration capabilities allow for easy design, implementation, and scaling of AI solutions across teams and systems. This, coupled with automated error handling and compliance validation, ensures efficient and secure document processing.

How good are your document processing AI models?

DeepOpinion's document processing AI models excel in extracting information from a wide range of documents, including those with high variability and complex structures, such as unstructured or semi-structured documents. Leveraging domain-tuned Large Language Models (LLMs), these AI models are adept at understanding context and intent without relying on predefined templates or extensive training datasets. Capable of handling 99% of global document variations, they achieve an impressive accuracy rate of 98%+, significantly reducing error rates by 20 times. These domain-tuned, zero-shot capabilities facilitate the rapid creation of powerful, customized AI applications in minutes, not months. As a result, DeepOpinion not only outperforms major competitors by up to 3x on unstructured data but also offers a scalable solution that adapts to specific needs without the traditional requirements for AI training, making it a leader in document processing technology.

How can I improve and modify the AI output?

To enhance and adjust the AI output, DeepOpinion leverages both automatic improvements through its continuous learning loop and active learning sessions, as well as Human in the Loop (HITL) capabilities for manual interventions. The platform's AI models automatically improve over time by adapting to new data and user corrections, employing a sophisticated model-listening mechanism that captures and learns from every interaction. This ensures the AI's accuracy and understanding continuously evolve without explicit retraining.

Additionally, DeepOpinion's HITL feature allows for precise human oversight on low-confidence predictions or complex cases, which are then fed back into the AI system as learning instances. This combination of automated and manual refinement processes enables a dynamic improvement of AI outputs, ensuring they become increasingly accurate and tailored to specific user requirements and document types. This approach not only enhances efficiency but also allows for the AI to adapt to new formats and extraction needs seamlessly, maintaining high performance and adaptability.

How easy and fast is it to start seeing results?

DeepOpinion enables rapid deployment and integration, allowing users to see immediate results. The platform's pre-trained models and zero-shot capabilities mean that powerful AI applications can be developed and deployed within minutes, without the need for extensive data training or technical expertise.

Do I need to train or label data?

No initial training or labeling is required to start with DeepOpinion. The platform uses pre-trained models that are highly efficient and effective right out of the box, handling 99% of global document variations. These models can achieve 98%+ accuracy without the need for custom templates, pixel rules, or extensive labeled datasets, significantly reducing reliance on large amounts of training data traditionally required for AI systems.

However, for those seeking to fine-tune performance beyond 98% accuracy, DeepOpinion is designed to be 20x more data-efficient compared to traditional models. Where competitors might require 1,000-2,000 samples to improve model accuracy, DeepOpinion can achieve substantial accuracy improvements with just 50-100 examples. This unique feature allows for highly efficient, targeted learning that enhances the AI's capabilities with minimal data input, making DeepOpinion a highly adaptable and efficient choice for optimizing document processing AI performance.

What do I do if I want to extract additional fields from a document?

To extract additional fields from any document, DeepOpinion empowers users to simply describe in plain language what fields they want and the AI efficiently handles the rest. This intuitive process, supported by DeepOpinion's Generative Reasoning capabilities, allows for the extraction and interpretation of relational and contextual information within documents. Advanced Generative Reasoning even enables you to extract data that requires human interpretation and may not even be explicitly clear on the page.

What other AI capabilities do you offer?

DeepOpinion offers an expansive suite of AI capabilities designed for a wide range of document and text processing applications. At the core, DeepOpinion enables the creation of enterprise-grade AI applications within minutes, uniting generative and discriminative AI technologies to address complex challenges across various domains.

Key capabilities include:
Generative AI Apps: With over 60+ pre-trained models covering a diverse array of domains, users can process, summarize, and interpret data for numerous document types and text content. These models are highly customizable, allowing users to tailor AI applications to their specific requirements swiftly.
Model Versatility and Accuracy: DeepOpinion's LLMs handle 99% of global document variations, providing 98%+ accuracy without relying on templates or pixel rules. This model versatility significantly reduces error rates and supports domain-tuned, zero-shot capabilities for quick and efficient model development.
Data Efficiency: The platform's approach to AI for text and documents is 20x more data-efficient compared to competitors, requiring only 50-100 training examples to achieve significant accuracy improvements beyond 98% performance.
Automation and Integration: DeepOpinion's robust API connectivity enables secure integration with over 200+ enterprise systems, including RPAs, BPMs, and databases, facilitating seamless incorporation into existing workflows.
Advanced Features: The platform supports detailed business logic and rules, customizable output formats, and multi-path AI workflows without code, making it flexible for complex use cases. Additionally, it includes data post-processing, enrichment, validation, Human-in-the-Loop (HITL) capabilities for exception handling, data record matching, and input/output data mapping.
Generative Reasoning: Built-in generative reasoning capabilities allow the AI to understand relational and contextual information within documents. This feature is crucial for interpreting data accurately and maximizing the efficiency of straight-through processing.

DeepOpinion's comprehensive AI capabilities are designed to streamline document processing, enhance accuracy, and integrate seamlessly with existing systems, making it a powerful tool for businesses looking to leverage AI for operational efficiency and data management.

How can I integrate it into my other software tools and systems?

DeepOpinion can be securely and robustly integrated with over 200+ enterprise systems, including RPAs, BPMs, databases, chatbots, and more, via API. The platform supports REST API for seamless connectivity, facilitating easy and fast integration into existing software landscapes and enabling drag & drop live integrations.

Does DeepOpinion offer Human in the Loop capabilities?

Yes, DeepOpinion offers advanced Human in the Loop (HITL) capabilities, allowing for exception handling and precision improvement through human oversight. The platform's HITL interface and active learning sessions identify low-confidence data points that, if interpreted by a human, could significantly enhance performance, ensuring efficient and continuous improvement of AI accuracy.

How much does your AI cost?

DeepOpinion employs a volume-based pricing model, where costs are tailored based on the amount of data processed, the number of documents handled, or the extent of AI capabilities utilized, providing scalable solutions that accommodate varying operational sizes and requirements. To get a specific quote, we recommend experiencing a demo.

Which languages do you support?

DeeOpinion offers robust language support for text and document processing, covering the official language or predominant spoken language in 182 countries. Specifically, it provides processing capabilities for 100+ languages for text and 55+ languages for documents.

Text Processing Languages Supported:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali (Romanized), Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Czech, Danish, Dutch, English (US), English (GB), Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uzbek, Vietnamese, Welsh, Xhosa, and Yiddish.

Document Processing Lanuages Supported:

For document processing we support: Afrikaans, Albanian, Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Croatian, Czech, Danish, Dutch, English (US), English (GB), Estonian, Farsi (Persian), Filipino (Tagalog), Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.

AI MODEL

Insurance Claim AI

Easily extract your Insurance Claim data using cutting age AI, powered by enterprise-grade GenAI and LLMs.

G2 Review
Sequoia Top 10 Leader
Digital Insurance Agenda DIA Winner

"DeepOpinion's zero-touch processing is unbelievable—it's four times more efficient than anything else we've seen!"

LIVE DEMO

Try Insurance Claim
processing for free

Experience the power and simplicity of Insurance Claim data extraction with GenAI and domain-tuned LLMs.

Flat fields

additional expenses amount
additional expenses description
additional information
cause of loss
claim number
claims handler
currency
date of claim
date of loss
description of loss
interest rate
payment
policyholder name
prepayment
policyholder date of birth
policyholder e-mail address
prepayment penalties
policyholder phone number
Status Code
total loss amount
type of claim
type of loss
value of loss

Column names

No items found.
Security you can count on
How it works

How does Insurance Claim processing work?

Immediately develop AI applications within DeepOpinion for document processing, seamlessly integrating them into your current workflow or crafting a new workflow entirely on the DeepOpinion platform.

01.

Connect Documents

Upload PDFs and images or connect to any document source via API.

02.

Extract Data

Extract essential information, using Generative Reasoning and Document Processing.

03.

Automate Work

Seamlessly integrate with your downstream systems, to automate your cognitive work.

THE DEEPOPINION DIFFERENCE

Why Choose DeepOpinion's Generative Insurance Claim processing?

Build Enterprise-GradeAI Apps

Create AI applications in minutes to process your documents without  using code.

Maximum Accuracy & Versatility

A single model can handle millions of different layouts with high accuracy, without the need for templates.

Zero-Training Needed

Use customizable pre-trained models that require no additional training, facilitating immediate deployment.

Continuous Accuracy Improvement

As new data is introduced, the AI enhances its accuracy through an automated learning loop.

Control Data Output

Easily manage data output and formats with features for data matching and the ability to loop in humans for review.

Testimonials

What customers are saying

"I was shocked by the leap in performance. Truly next-level straight through processing"