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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Iris provides integration-ready identity and cyber protection solutions that help organizations add powerful customer security capabilities directly into their existing products — without building from scratch. Designed for modern digital platforms, Iris makes it easy to embed identity protection into apps, portals, and customer experiences at scale.
Identity Protection API
Iris’ API suite delivers a multitude of protection solutions—including dark web monitoring & alerts, credit services, risk assessment tools, device protection, and more—into your platform. Teams can fully control the user experience, data flows, and customer journeys while leveraging Iris’ underlying technology and data aggregation.
Micro-Experiences
Prebuilt, customizable UI components that can be embedded directly into your application. These lightweight modules allow teams to quickly deploy identity protection features — such as alerts, dashboards, and monitoring tools — with minimal development effort.
Built for flexibility, Iris supports multiple integration approaches, enrollment methods, and data handling models, so organizations can choose how information flows between users, their systems, and Iris. The platform is designed to scale across large user bases while maintaining strong security and performance standards.
By making identity protection a native part of the user experience, Iris helps organizations increase engagement, strengthen trust, and deliver meaningful, always-on protection to their customers.
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Amazon FreeRTOS
FreeRTOS is a real-time operating system that is open source and tailored for microcontrollers, simplifying the programming, deployment, security, connectivity, and management of small, low-power edge devices. Available at no cost under the MIT open source license, FreeRTOS features a kernel alongside an expanding array of software libraries that cater to various industries and applications. This system allows seamless and secure integration of compact, low-energy devices with AWS Cloud services, such as AWS IoT Core, as well as with more robust edge devices running AWS IoT Greengrass. Designed with a focus on both reliability and user-friendliness, FreeRTOS provides the assurance of long-term support releases, making it an attractive choice for developers. Microcontrollers, which are characterized by their simple and resource-limited processors, can be found in a diverse range of products, from home appliances and sensors to fitness trackers, industrial automation systems, and vehicles. As the demand for efficient and manageable IoT solutions grows, FreeRTOS remains a crucial tool for developers working in this expanding field.
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MQX RTOS
The MQX real-time operating system (RTOS) delivers excellent real-time capabilities while maintaining a compact and customizable footprint. This RTOS is seamlessly integrated with NXP's 32-bit MCUs and MPUs and comes with essential device drivers commonly utilized in embedded applications. Designed with a contemporary, component-oriented microkernel architecture, the MQX RTOS allows engineers to tailor features, size, and performance by selectively integrating components, thus adhering to the stringent memory limitations typical of embedded systems. Remarkably, it can be set up to use as little as 8 KB of ROM and 2.5 KB of RAM on the Arm Cortex M4, accommodating the kernel, two task applications, one lightweight semaphore, the interrupt stack, queues, and the memory manager. This configuration ensures a complete RTOS core is available while offering additional optional services as needed. By linking components only when required, the system effectively avoids unnecessary memory bloat from unused functions. Moreover, key components are offered in both standard and lightweight configurations, providing further flexibility regarding size, RAM and ROM usage, and performance options, making it a versatile choice for various applications.
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