Pearl Cloud is a powerful, cloud-based document management system designed to make the storage and access of your documents as convenient as possible. Hosted and managed by us, it gives your team the flexibility to work anywhere while keeping important files organised and available. Whether youโre managing invoices, contracts or HR records, Pearl Cloud can help you find documents when and where you need them.
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Clients needed more than just digital images, they needed a secure, structured, and intuitive system to store, retrieve, and manage their documents long after scanning was complete. This inspired the creation of Pearl Cloud, a proprietary cloud-based document archiving platform designed to bridge the gap between document digitisation and document management needs.
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Pearl Cloud is built using a combination of robust, scalable, and secure technologies designed to support enterprise-level document archiving and retrieval.
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Central government departments, Local authorities and councils, Regulatory and environmental agencies, NHS Trusts and private healthcare providers, Law firms, conveyancing firms, and financial institutions, student records, exam papers, and governance documents, large format plans, as-built drawings, and technical documents. - Pearl Cloud serves clients with complex document management needs, where secure storage, metadata-driven indexing, and compliance are non-negotiable. While client names may not be publicly listed, the platform is firmly embedded in critical operations across industries where trust, performance, and accessibility matter most.
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Designed to make searching, accessing, and managing digital documents easier, it offers a practical alternative to traditional storage methods. Pearl Cloud doesnโt try to overwhelm users with complex features. Instead, it focuses on what people really need: fast, accurate access to their documents through a system that is straightforward and easy to use.
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Pearl Cloud is built to simplify document access. Instead of relying on file paths and folder structures, it provides intuitive features that help users get straight to what they need.
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Organizations and departments that manage large volumes of paper-based records and require a secure, compliant, and easily accessible digital archiving solution. This includes sectors such as government, legal, healthcare, finance, and education, particularly those dealing with legacy archives, sensitive documents, or needing to meet regulatory standards for record retention and access. These users value data security, retrieval speed, scalability, and auditability, and are looking to streamline document management while reducing physical storage reliance.
Based on our record, NumPy seems to be more popular. It has been mentiond 121 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 14 days ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / about 2 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 8 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / about 1 year ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. Itโs also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / about 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OnBase by Hyland - OnBase by Hyland is an enterprise content management platform that offers a new way to make your information as secure and available as possible, at all times, across all your channels.
OpenCV - OpenCV is the world's biggest computer vision library
Sharepoint Online - SharePoint is a secure place to store, organize, share, and access information from almost any device.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
M-Files DMS - Document Management System (DMS) with unmatched ease of use. M-files system improves workflow and securely control content. Download free trial!