Supercharge Your Intelligent Document Processing (IDP) to Maximize Efficiency

ibml Cloud Capture is now architected with Microsoft Secure Open AI technology to take advantage of Large Language Models (LLM). The LLM models-based document capture have revolutionized document understanding and extraction. What used to take days and months to setup a capture process is now setup in minutes and hours, enabling our customers to see immediate ROI.

ibml’s Document Processing (IDP) solutions can handle input from multiple sources including email, fax, web forms, web portals, etc., besides just paper-based scanned documents in various file formats.

ibml Cloud Capture (iCC) is a software-as-a-service (SAAS) offering and is priced based on document volumes processed. Built upon the most modern cloud-native technology, ICC can be scaled up or down as needed and you can start with a small project to experience the benefits of AI-based ICC with no capex investment required. Contact our experts for a customized quote for your organization.

ibml Capture Suite (ICS) is the intelligent processing software used with high-volume scanners (ibml brand or others) on-premise. ibml Cloud Capture (ICC) is a highly agnostic off-premise document processing software that is hosted in the cloud and therefore can be accessed anywhere using a browser and credentials. ICC can intelligently process any type of content and also provides advanced functionality such as Intuitive AI-based Intelligent document processing (IDP), Workflow Automation Robotic Process Automation (RPA) and Content Management through deep integration with Microsoft Azure. ICS and ICC are also seamlessly integrated so that you can take advantage of both on-prem and cloud technologies.

Some businesses use ibml Cloud Capture (ICC) to speed their customer or employee onboarding, especially through integrations to their existing systems such as Workday or Microsoft Azure. Others use ICC to manage, organize, and locate their large volume of files quickly and easily to replace physical storage repositories. And many rely on ICC to speed up manually-intensive processes such as loan processing, employment verification, or benefit approvals. ICC offers a broad array of critical use cases in key sectors such as financial services, local government, and healthcare to speed up and simplify the flow of information.

Generative AI refers to artificial intelligence systems capable of generating new content, such as images, text, or even music, that is original and often indistinguishable from human-created content. These systems use techniques like deep learning and neural networks to understand patterns in data and generate new instances based on those patterns.

Large Language Models (LLM) in AI are advanced AI models trained on vast amounts of text data, enabling them to understand and generate human-like text. Examples include GPT (Generative Pre-trained Transformer) models like GPT-3, which can perform tasks such as language translation, text completion, and even writing articles or stories.

Machine Learning is a subset of artificial intelligence focused on enabling machines to learn from data without being explicitly programmed. It involves developing algorithms that can improve their performance over time as they are exposed to more data. ICC uses ML techniques to further improve accuracy for edge use cases that are not recognized out-of-the-box with LLM’s.

Intelligent Document Processing (IDP) is a technology that automates the extraction and processing of information from various types of documents, such as forms, invoices, or contracts, using techniques like optical character recognition (OCR), natural language processing (NLP), and machine learning (ML) and LLM’s

Current LLM-based AI technology improves IDP by enhancing the accuracy and efficiency of document processing tasks. These models can understand and extract information from documents with high accuracy, reducing the need for manual intervention and speeding up the overall process. Most importantly, LLM-based AI technology significantly reduces the time needed to setup your system because it does not require samples to train the recognition engine and therefore is highly effective in recognition right out of the box.

Workflow Automation involves the use of technology to automate repetitive tasks and streamline business processes. It aims to optimize the flow of work within an organization by reducing manual effort, increasing efficiency, and reducing manual mistakes and errors. It also facilitates approval processes and integration with other line-of-business systems to quickly validate data and route to different processes.

Workflow Automation is important in document processing because it helps organizations manage their document-related tasks more efficiently, reduce errors, improve compliance, and save time and resources.

Robotic Process Automation (RPA) is a technology that automates repetitive and rule-based tasks traditionally performed by humans. RPA software robots mimic human actions to interact with digital systems and perform tasks such as data entry, data extraction, and document processing.

RPA is important in document processing because it can automate tedious and time-consuming tasks, such as data entry and validation, leading to faster processing times, fewer errors, and improved productivity.

A cloud-native solution is an approach to building and running applications that leverage the advantages of cloud computing, such as scalability, flexibility, and resilience in comparison to on-premise hosting which is more rigid and slow-to-change.

A cloud-native solution is better than cloud-hosted solutions because it is a solution that was designed originally for the cloud, versus a solution that was created on-premises originally and then repurposed to the cloud later. A cloud-native solution is specifically designed to leverage all the capabilities of the cloud, enabling organizations to take full advantage of cloud services and infrastructure while maximizing scalability, agility, and cost-effectiveness. A cloud-hosted solution may have unique challenges and drawbacks in functionality in comparison, as it was not originally designed for cloud capabilities.

Ibml is committed to providing the highest level of security to our customers. ICC is hosted by a provider that undergoes an annual 3rd Party System and Organization Controls (SOC) 2 Audit to provide ongoing assurance that we have measures in place to protect your data. ibml has a current SOC 2 Type 2 report for our Cloud Platform. ICC is Health Insurance Portability and Accountability Act (HIPAA)-compliant and meets the stringent guidelines for securely handling protected health information (PHI). We host all our software in Microsoft Azure datacenters. Microsoft provides an extensive list of compliance and regulatory assurances, including SOC 1-3, and ISO 27001. See Microsoft’s compliance and security documents for more detailed information. Ibml conducts third-party network vulnerability scans at least annually.