LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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StackAI
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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Essayist
When beginning a new essay, it is essential to set up the title section or page, adjust margins, select an appropriate font, establish line spacing, and align text, along with configuring page headers and footers. The formatting process also includes organizing references, in-text citations, footnotes or endnotes, figures, tables, and a table of contents, among other elements. You can effortlessly add in-text citations and footnotes or endnotes by simply clicking the insert citation button and choosing the desired reference, which will then be created automatically. Furthermore, references can be added quickly through Google Scholar, the integrated search tool within Essayist, by pasting a URL, or by using manual entry forms. Once references are inputted, they are formatted automatically and included in the essay's references or works cited list, ensuring a seamless writing experience. This streamlined process not only saves time but also enhances the overall organization and presentation of your essay.
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Jenova
Jenova serves as a comprehensive AI agent designed specifically for the Model Context Protocol (MCP) ecosystem, seamlessly integrating leading models such as GPT-4o, Claude 3.5, and Gemini 1.5 with real-time web search and a range of built-in tools to streamline various workflows significantly. This innovative platform enables users to perform tasks like sending emails, scheduling calendar events, conducting in-depth research, analyzing documents, generating content, and engaging with live web data all through one convenient interface. By intelligently selecting the most suitable models and incorporating search functionalities from platforms like Google, Reddit, YouTube, GitHub, and academic databases, it offers extensive no-code customization options that empower users to create personalized AI applications—ranging from brand-voice automation to content summarization and client-specific assistants—without the need for technical expertise. A key focus of Jenova is enhancing productivity by merging information discovery, contextual comprehension, and action generation, which leads to actionable insights and automated handling of routine tasks. Additionally, Jenova's design supports mobile capabilities, ensuring users can access its powerful features from anywhere, making it an indispensable tool for modern workflows.
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