
Enhance your website's capabilities with RAD PDF, an installation-free solution for PDF editing, form filling, redaction, signing, viewing, and much more!
Designed as a user-friendly library/WebControl that works seamlessly with .NET 3.5+, .NET Core, and .NET 5+, RAD PDF is compatible with various ASP.NET frameworks such as MVC, Razor, Blazor, and WebForms.
This powerful tool supports 99% of internet browsers across platforms including Linux, Mac OS X, Microsoft Windows, and mobile devices, eliminating the need for plugins or Adobe Reader. More than just a PDF to HTML converter, RAD PDF fully supports essential PDF features such as annotations, bookmarks, form fields, and page labels.
With sophisticated PDF options, users can selectively enable or disable features not accessible through Adobe Acrobat Reader, such as restricting PDF download while still permitting online viewing.
Moreover, RAD PDF allows users to fill out and save PDF form fields directly through their web browsers, streamlining the process without requiring any software installation.
By integrating directly with ASP.NET, RAD PDF empowers your web application to collect input data, create tailored workflows, and offer an intuitive graphical user interface for virtually any online PDF interaction you can envision!
Experience the convenience of RAD PDF and elevate your website's PDF handling capabilities today!
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StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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CGM LABDAQ
Created by CompuGroup Medical, CGM LABDAQ stands out as the premier laboratory information system in the country. It features a contemporary, user-centric platform that leverages years of expertise in the LIS market.
Using the reliable MS-SQL Server database, CGM LABDAQ enables laboratories of varying sizes to boost their revenue and enhance customer loyalty. By implementing CGM LABDAQ, your laboratory can improve its operational efficiency, streamline processes, ensure patient safety, and shorten turnaround times significantly.
Designed to adapt alongside your evolving business requirements, CGM LABDAQ provides a range of modular software options, including LAB IQ, an interactive dashboard that allows users to monitor performance metrics in real-time. This feature eradicates manual workflows, thereby enhancing overall efficiency. Additionally, its interface monitoring tools provide alerts to ensure proper functionality, eliminating the necessity for daily quality control tasks.
Beyond these capabilities, CGM LABDAQ also includes robust options for data analytics, workflow optimization, inventory management, and more. The system's advanced, rules-based technology not only aids in adhering to best practices but also facilitates the seamless and efficient operation of your laboratory. Furthermore, its continuous updates ensure that your lab remains at the forefront of innovation in laboratory management.
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Cofoundry
Cofoundry is an efficient ASP.NET Core CMS tailored for code-first development while emphasizing a user-friendly content management experience. It offers flexibility in whether you prefer an integrated, decoupled, or headless architecture, adapting effortlessly to your specific requirements. The system supports your workflow as needed and allows you to focus on .NET coding without interruptions when it's not necessary. With options for various front-end technologies and designs, Cofoundry meets the distinct needs of each application effectively. This versatile framework makes it simple to integrate your favorite tools and scale your architecture as needed. Dependency injection is a core feature of Cofoundry, making it easy to customize or override any necessary implementations. Installing plugins via Nuget is straightforward, and adding your bespoke solutions is just as simple. Unlike many CMS administration interfaces that try to cater to both developers and content editors—resulting in convoluted systems filled with technical jargon—Cofoundry aims to enhance the experience for all users involved. Consequently, it successfully balances robust functionality with accessibility for a wide range of users. This commitment to user experience ensures that both developers and content creators can work efficiently without getting bogged down by unnecessary complexity.
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