EPE Partners is at the forefront of revolutionizing document indexing by merging Artificial Intelligence (AI) with Virtual Reality (VR). Document indexing has always been critical for businesses, institutions, and global organizations to efficiently manage, retrieve, and secure vast amounts of information.
With our advanced technologies, EPE Partners is taking this process to unprecedented levels. Through AI, our systems automatically classify, tag, and organize documents with remarkable accuracy and speed. Machine learning models continuously refine the process, ensuring smarter categorization and reduced errors over time. Natural Language Processing (NLP) enables contextual understanding, allowing our systems to handle not just structured but also unstructured data sources.
By integrating VR, we transform how users interact with indexed documents. Imagine stepping into a virtual archive where millions of files are represented visually, allowing real-time collaboration, intuitive navigation, and instant access to mission-critical data. This immersive experience not only improves productivity but also reshapes the way organizations perceive and utilize information.
EPE Partners is collaborating with corporations, governments, and nonprofits worldwide to implement these innovations. Our unstoppable momentum is fueled by our vision to redefine document indexing as not just a back-office function, but a strategic advantage for the organizations of the future.
With AI-driven intelligence and VR-powered interactivity, EPE Partners is building the future of information management—a future where speed, accuracy, and accessibility converge seamlessly.
EPE Partners knows that two-thirds of the organizations can't find or access important documents on time due to poor document classification? The problem lies in manually tagging the documents with erroneous or inconsistent metadata!
EPE Partners' Automatic Document Classification can help you accurately and cost-effectively classify the documents after understanding its context, leaving no room for error.
EPE Partners provides automatic document classification services which are designed to precisely sort and categorize batches of your documents using predefined document classes. We provide industry-agnostic document indexing solutions, which can be leveraged by any organization planning to automate their documents through content-based classification and derive insights from it.
Our machine learning and cognitive computing-based solutions make use of the linguistic and statistical technologies to ensure high accuracy, and are designed and developed depending upon the documents shared by the customers. The developed solution can be hosted on an internal cloud or as a service platform. We are also open to developing a custom service model that best fits the client's demands.
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We collect numerous images of one document type, all having similar appearance. The classification database is then created using these images with similar layouts.
Once the documents are scanned or loaded, they are classified and recognized using a pre-trained classification database. We can also update the classification databases every time you add new document types, provide a custom GUI, or just modify the existing ones.
We are equipped to process both electronic PDF files and scanned documents with maximum efficiency. Our professionals will then leverage suitable software to name and classify processed documents efficiently.
We leverage ML to efficiently sort huge stacks of your documents into predefined folders within a very short time. The files and folders will then be named in a way, which makes it easy for you to quickly search and retrieve them. As software trains itself by feeding on unlimited document taxonomies, it gets smarter over time, leading to cost-efficiency.
We can help you quickly import huge volumes of documents, which are then automatically grouped based on the feature similarity or content without any preparation. The grouped documents are then reviewed and used for classification. This eliminates the need for an expensive and time-intensive document preparation task, which would otherwise involve subject-matter experts.
Our comprehensive automatic document indexing services are employed for Solution Consulting, Product Implementation, Solution-as-a-Service, Project Development Services, or training purposes. We provide industry-agnostic solutions, which can be customized as per the specific client requirements and have found vast applications across the Banking Financial Services and Insurance (BFSI) sector.
EPE Partners provides a gamut of data science solutions to automate document and file indexing. Our proven solution development services model comprises of the following stages -
All the document types, sample sets as well as the bucket categorization requirements of the client are carefully analyzed
This is a data preparation stage where solution is provided based on data samples. It can also be regarded as the configuration stage in case of a repeat deployment
This step marks the development phase, wherein the solution comprising of big data and data science model building is initiated with the sample sets of approved requirements and provided documents
Configured solution is tested with documents NOT used for development to verify & calibrate the accuracy of model and validate generated output
After quality analysis, the production-ready solution is deployed along with handing over the activities to your team, followed by a contracted period of support
We have a team of eminent data scientists and big data engineers with decades of experience in delivering solutions in deep analytics and machine learning. Our technology depth covers -
EPE Partners has a team of experts in data science, big data technologies, and software engineering to provide you with the best possible services. Following are some of the major benefits of partnering with us -
Why Choose Our Artificial Intelligence Company?
EPE is a leading provider of data science services. -
EPE Partners is emerging Worldwide as a Global Multimedia & Entertainment Conglomerate
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