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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Veryon
We help everyone in aviation to get more uptime for their aircraft. The key to managing everything from manuals to maintenance is to have a better platform for technology.
You can now see all the data you need, including maintenance data, operational data, regulatory data and more.
A team of aviation experts and an intuitive platform interface make it easy to find what you are looking for.
An intelligent database that uses AI and machine learning can simplify everything, from documentation to troubleshooting.
After nearly 50 years of business, we've built a reputation for getting more aircraft uptime to our customers.
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OpenText Information Archive
OpenText Content Manager serves as a governance-oriented enterprise content management (ECM) platform aimed at assisting organizations in overseeing their business content throughout its lifecycle, from inception to disposal. This system boasts strong capabilities in document and records management, email handling, web content oversight, governance and administration, workflow, and collaborative efforts. By offering a thorough, ready-to-use software solution, it facilitates the efficient management and teamwork on a variety of content formats, such as documents, records, emails, web content, images, and videos, ultimately driving the achievement of business goals. In addition, OpenText Information Archive functions as a contemporary archiving solution that ensures scalable, cost-effective, and compliant preservation of both structured and unstructured data. By enabling organizations to archive information from various applications and systems, it supports the phase-out of outdated applications while allowing continued access to historical data for future reference. Moreover, this dual approach not only optimizes content management but also enhances compliance and data governance strategies within organizations.
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OpenText for Life Sciences
OpenText™ Information Management solutions empower organizations in the life sciences sector to harness data and content insights, enhancing their decision-making and speeding up product development. These tools enable seamless integration, management, and secure sharing of information among individuals, systems, and devices. By utilizing information assets effectively from research and development through to commercialization, organizations can benefit from adaptable cloud-native software that operates in any environment. OpenText for life sciences significantly accelerates the discovery process, facilitating the extraction of actionable insights that foster innovation in the pipeline. Users can convert research papers into electronic lab notebooks through intelligent capture, and uncover valuable insights using text mining techniques. Moreover, the platform allows for the extraction of knowledge hidden within unstructured text of clinical trial reports, study protocols, and findings related to clinical safety and efficiency. It also offers methods to intelligently analyze, categorize, and extract information from clinical trial documents, ultimately minimizing the risk of expensive delays and interruptions in the development process. By effectively utilizing these advanced capabilities, life sciences organizations can significantly enhance their operational efficiency and drive forward their research initiatives.
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