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Enterprise-grade AI agent platform automating sales, customer service, HR, and other business processes

Desktop AI assistant for meditation guidance, podcast creation, code analysis, and productivity tasks

AI agent platform supporting content creation, code debugging, and project management

An AI development and MLOps platform for customizing, deploying, and continuously optimizing large language models.

An AI-powered backend development assistant that generates Express.js APIs from natural language and syncs code to GitHub.

Code editor that tracks operations and auto-converts them to Git commits, with support for cross-file refactoring and multi-tool integration.

SiliconFlow is an all-in-one cloud service platform that delivers high-performance, multi-model AI inference services to developers and enterprises. Through SiliconCloud, the platform integrates a wide range of open-source large language models, image generation models, and multimodal models, focusing on cost efficiency and performance optimization. SiliconFlow offers ready-to-use APIs compatible with the OpenAI SDK, enabling seamless integration for developers. Powered by advanced inference acceleration technologies, the platform can boost inference speeds up to 10 times faster, significantly reducing computing costs.

Not Diamond is an advanced AI routing platform that integrates multiple large language models into a meta-model, dynamically selecting the most suitable LLM based on input. It consistently invokes the highest-performing model across major benchmark tests, maximizing output quality while enabling flexible trade-offs between cost and latency through intelligent routing. Users can personalize routing via real-time feedback, train custom routers on their own datasets, and seamlessly integrate via Python, TypeScript, or REST API. Not Diamond operates as a recommendation engine rather than a proxy, allowing clients to initiate LLM requests directly, thereby enhancing data privacy and flexibility.

Nexa AI is a comprehensive on-device AI model hub and inference framework designed to enable developers and enterprises to locally deploy and run over 700 quantized AI models on a wide range of edge devices. It supports multiple modalities including text, vision, and audio, and is optimized for CPUs, GPUs, and NPUs across platforms such as Windows, macOS, Linux, Android, and iOS. By eliminating cloud dependency, Nexa AI emphasizes privacy, low latency, and cost efficiency, while providing tools like the Nexa SDK for seamless one-line deployment and hardware acceleration. The platform also fosters a collaborative community for model sharing and development support, making on-device AI practical and scalable.

Wave Terminal is a modern, open-source terminal application that reduces context switching for developers by integrating graphical capabilities directly into the command-line environment. It supports inline rendering of content such as Markdown, images, CSV files, and videos, and includes a built-in VSCode-like editor for remote file editing. Wave integrates multi-model AI chat, an embedded web browser, SSH connection management, and customizable workspaces. Available for macOS, Linux, and Windows, it empowers developers to unify their terminal, editor, browser, and AI tools into a single streamlined workspace, significantly enhancing productivity.

Inception Labs is pioneering a new generation of AI models using diffusion technology inspired by image and video generation systems. Unlike traditional autoregressive models, Inception's diffusion large language models (dLLMs) generate text in parallel, significantly improving speed, reducing costs, and enabling advanced reasoning and multimodal capabilities. This technology supports real-time, high-quality language generation, making it ideal for enterprise, edge, and complex AI applications, transforming the way AI solutions are built and deployed.

Fluidstack is a professional cloud platform that provides instant access to thousands of high-performance Nvidia GPUs, including H100 and A100, designed for demanding AI workloads. Founded in 2017 at the University of Oxford, Fluidstack enables seamless large-scale training and massive inference across thousands of GPUs by delivering fully managed GPU clusters and on-demand instances to leading AI companies. The platform emphasizes affordability, operational reliability, and sustainability, with deployments in specific regions powered entirely by 100% renewable energy. Users benefit from rapid cluster provisioning, expert support, and flexible deployment options, making Fluidstack the platform of choice for organizations building and scaling advanced AI models.