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.
Learn more
A platform for managing Omni-channel Experiences. You can do more than just survey. Power-up your experience management programs. All touch points can have an omnichannel experience. All data in one location. You can customize and share email surveys to increase open-rates. You can customize the subject, body, or share from an email address you choose. White-label your emails, and share. For feedback, share a QR code that can be scannable. Share the code with respondents. Respondents can scan the code to access the survey and take it. Generate multiple unique survey links for sharing surveys. These links can be tracked and used to measure survey performance. You can white-label your survey by using Custom Domain. You can embed surveys to engage customers and visitors on your website. You can embed the survey as a popup card, chatbot on your website, or inline embed. Our mobile SDK allows you to quickly create surveys and collect actionable information.
Learn more
Delighted
Delighted is a turnkey platform for customer experience that helps high-growth companies and established enterprises such as Allbirds, Instacart and Invision, Opentable and Affirm to improve customer loyalty through actionable feedback.
Customer feedback can be incorporated into your business strategy within minutes, not weeks.
Easily customize NPS, CSAT and CES survey templates in Delighted
- Send surveys directly to customers via email, SMS text, in app, or link URL.
- Create 2-click integrations: Set up surveys and integrate real-time feedback in your existing toolset, such as e.g. Slack, Salesforce and Shopify, Stripe, Hubspot and many more
- Surface trends that need immediate attention using AI-driven survey text analysis and pre-built reports.
- Get immediate action with email digests and alerts that you can customize by department so that feedback reaches the people who can make a difference
Learn more
Lucidya
Lucidya is a cutting-edge platform for managing customer experiences, specifically designed to empower organizations to comprehend, oversee, and enhance customer interactions in the digital realm by leveraging real-time data and sophisticated analytics. This tool allows brands to track customer discussions, assess sentiment, and derive actionable insights from diverse sources like social media, customer reviews, and online content, which helps in gaining a deeper understanding of consumer behavior, preferences, and market dynamics. By integrating artificial intelligence with natural language processing, it offers precise sentiment analysis, including the ability to support various Arabic dialects, thus enabling businesses to grasp context and meaning with exceptional accuracy. Additionally, it provides immediate intelligence through alerts and comprehensive dashboards, which equip teams to swiftly address emerging challenges, respond to customer demands, and manage reputational risks, all while ensuring consistent interaction across multiple channels. Overall, Lucidya serves as an invaluable resource for businesses striving to enhance their customer experience strategy.
Learn more
