
StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering.
With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information.
AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps.
Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production.
StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy.
A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator.
By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.
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Install-free PDF editing, form filling, redaction, signing, viewing, and more on your website with RAD PDF!
Packaged as an easy to use library / WebControl (compatible with .NET 3.5+, .NET Core, and .NET 5+), RAD PDF can be used with just about any flavor of ASP.NET including MVC, Razor, Blazor, WebForms, and more.
RAD PDF is compatible with 99% of internet browsers, including those on Linux, Mac OS X, Microsoft Windows, and mobile. No plugins. No Adobe Reader. RAD PDF is more than a PDF to HTML converter. It natively supports all the most common PDF features including annotations, bookmarks, form fields, page labels, and more.
With advanced PDF options, RAD PDF allows you to selectively enable and disable features not available with Adobe Acrobat Reader, like protecting a PDF from being downloaded while still viewable online.
RAD PDF users can use PDF form fields directly from the web browser by enabling PDF form filling and PDF form saving without having to install any software.
Integrating directly with ASP.NET, RAD PDF allows your web application to capture input data, build custom workflows, and provide an intuitive graphical user interface (GUI) for just about any online PDF interaction imaginable!
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V2Fun
V2Fun is a comprehensive, browser-based platform that utilizes AI to facilitate the creation of 3D models and animations from text prompts, reference images, and standard videos. This innovative tool enables users to produce concept images that are not only structurally accurate but also perspective-correct, while generating high-quality assets from both single and multi-view images through advanced text processing. With features like built-in prompt optimization, it enhances inputs with spatial perspective, physically based rendering (PBR) materials, and detailed texture parameters. Additionally, its image-to-3D and text-to-3D engines maintain the artistic style, character characteristics, structural integrity, and natural lighting of the original inputs, allowing for quick iterations across various applications such as character creation, scene design, game assets, industrial models, and objects suitable for 3D printing. The platform's intelligent retopology feature delivers clean, lightweight, and editable quad meshes without compromising surface intricacy, while its AI-driven texture generator efficiently creates or replaces entire sets of PBR materials that include precise lighting, bump, gloss, and roughness data. As a result, users can seamlessly integrate various elements into their projects, enhancing creativity and productivity in the 3D design process.
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Seed3D
Seed3D 1.0 serves as a foundational model pipeline that transforms a single image input into a 3D asset ready for simulation, encompassing closed manifold geometry, UV-mapped textures, and material maps suitable for physics engines and embodied-AI simulators. This innovative system employs a hybrid framework that integrates a 3D variational autoencoder for encoding latent geometry alongside a diffusion-transformer architecture, which meticulously crafts intricate 3D shapes, subsequently complemented by multi-view texture synthesis, PBR material estimation, and completion of UV textures. The geometry component generates watertight meshes that capture fine structural nuances, such as thin protrusions and textural details, while the texture and material segment produces high-resolution maps for albedo, metallic properties, and roughness that maintain consistency across multiple views, ensuring a lifelike appearance in diverse lighting conditions. Remarkably, the assets created using Seed3D 1.0 demand very little post-processing or manual adjustments, making it an efficient tool for developers and artists alike. Users can expect a seamless experience with minimal effort required to achieve professional-quality results.
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