In our 20-plus year journey to become a leader in the AI space, we’ve continually pushed the boundaries of what’s possible. As highlighted in our recent recognition as a Leader in in The Forrester Wave™: Document Mining and Analytics Platforms, Q2 2024 Wave Report, expert.ai capabilities in AI technology drive tangible value and results for our customers. In this final post of our series, we’ll dive deep into the AI capabilities that set expert.ai apart and allow us to deliver unparalleled value to our clients.
Advanced Extraction Capabilities
At the heart of our AI offering is our powerful extraction engine. By combining Knowledge Graphs (KGs) with Machine Learning (ML) algorithms and Large Language Models (LLMs), we excel in Natural Language Processing (NLP) tasks, such as: Named Entity Recognition (NER), Topic Modeling, Sentiment and Behavioral Classification, Word-Sense Disambiguation, Natural Language Inference, Salient Word, Semantic Textual Similarity, Sentence Extraction, Text Categorization, Stylometry Extraction, and Personally Identifiable Information (PII). Our platform not only derives topics at various levels—document, paragraph, sentence and phrase—but also supports advanced summarization, information extraction, and classification across extensive context windows, making it ideal for handling complex, multi-layered information.
Our dedicated, vertically specific enterprise language models takes this a step further by enabling verification of documents against established knowledge bases, such as PubMed, to detect conflicts or support claims. This capability spans sentence, claim and document levels, providing robust validation for critical business decisions.
Pioneering Classification and Categorization
Expert.ai’s NLP technology goes beyond simple classification. Our cross-document capabilities, such as topic modeling and document verification, allow us to validate documents like insurance claims against comprehensive collections of related records. This not only ensures accuracy but also delivers a detailed timeline for in-depth exploration.
Our platform’s ability to generate questions from a collection of documents and group them into quizzes is a game-changer for training and evaluation purposes. It’s a perfect example of how our cross-document processing transforms data into actionable insights.
Handling Complex Forms and Images
Dealing with complex documents is made easy. The proprietary ‘extract engine’ takes advantage of multiple elements to transform PDFs into structured data. The tool includes third-party deep learning and ML models, trained on multiple document types, together with custom proprietary models trained on a range of document types and formats to manage variability across industries and deal with lower quality documents. We feature advanced OCR capabilities, including de-skewing and enhanced object recognition, ensuring precise data extraction even from lower-quality documents.
Flexible Deployment and Seamless Automation
Whether you need public, private or on-premises deployment, Expert.ai has you covered. The platform can be hosted as a public cloud or private cloud instance in any global region supported by AWS or Microsoft Azure. The platform supports vendor managed cloud and client managed cloud deployments via AWS and Azure and is fully containerized. Because it is web based, the platform can be used on mobile devices, and functionality can be invoked by APIs. The Platform relies on a microservices architecture that can be extended with custom modules, through available SDKs in Java and Python.
The platform includes a native production workflow management module, NL Flow, that allows users to design and deploy an NLP specific workflow, using no-code or low code methods, that include pre processing (document preparation) and post processing (routing, writeback, etc.) functionalities. Conditional process flows are also available. Specific business rules can be deployed as custom components with proprietary business logic. The generated workflow can integrate to proprietary repositories/apps or third-party connectors (accessible directly from the interface). We offer certified RPA integrations with Automation Anywhere, UiPath, and Expert.ai Prism.
Comprehensive Ops, Integration and Global Reach
Our platform is designed for ease of use, even for non-developers, and offers robust operational monitoring and integration with major analytics platforms.
The production module offers a first set of metrics that monitor possible anomalies in the production workflow in real time. These include time required to process a document in each step of the workflow, categories or classes of extraction that are triggered with lower-than-expected frequency, resources required by each step in the workflow etc. In addition, the authoring module provides analytics capabilities to search and browse the document corpora by keyword, lemma, named entities and key elements, such as main concepts, categories or labels, providing information about the quality of text content and topic distribution. Knowledge graph visualization and navigation and key concepts cloud filtering is supported.
We have a certified integration with Qlik as well as integration with Boomi, enabling integration with multiple analytics platforms including Tableau, Amazon Kinesis, Google Analytics, Salesforce, Microsoft Azure Cosmos and more.
Finally, the platform supports 12 languages. With certified compliance and security standards like ISO 27001 and SOC 2, Type 2, we ensure that your data remains secure and compliant with global regulations.
Conclusion
Expert.ai’s AI capabilities are a testament to our commitment to innovation and excellence. From advanced document extraction and NLP to flexible deployment options and seamless automation, our platform is built to meet the evolving needs of businesses across industries. As we continue to expand our capabilities, we remain dedicated to helping our customers harness the power of AI to drive smarter decisions, enhance operational efficiency and maintain a competitive edge.
Learn more about How We Lead: AI for Regulated Industries, Strategy, Vision and Innovation and AI Technology.
