cerebrium

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.

LiteLLM is an all-in-one LLM gateway solution that simplifies access to over 100 mainstream language models, including OpenAI, Anthropic, Azure, Bedrock, and VertexAI. All interactions use an OpenAI-compatible format, eliminating the need for separate development across different providers. The platform offers both an open-source Python SDK and a Proxy server (LLM Gateway), supporting advanced features such as input transformation, unified output formatting, cost tracking, budget management, and failover. Trusted by leading companies like Netflix, Lemonade, and RocketMoney, LiteLLM enables teams to rapidly integrate new models while achieving comprehensive monitoring and usage management.

Langfuse is an open-source platform designed for production environments, built to enhance the entire development lifecycle of large language model (LLM) applications. By capturing detailed traces of LLM calls and associated logic, it provides teams with comprehensive observability to support debugging, cost monitoring, quality evaluation, and performance optimization. Langfuse supports multi-turn conversations, user tracking, and seamless integration with mainstream frameworks such as LangChain, LlamaIndex, and OpenAI SDK. The platform offers both cloud-hosted and self-hosted deployment options to accommodate diverse organizational needs.

Orq.ai is an all-in-one LLMOps platform that empowers product teams to efficiently develop and manage large language model applications. The platform integrates over 130 AI models through a single API, enabling seamless experimentation, prompt engineering, and deployment workflows. Key features include real-time observability, advanced debugging, context routing, and enterprise-grade security and compliance. Orq.ai provides an intuitive interface and low-code tools to support cross-team collaboration among engineers, product managers, and domain experts, accelerating time-to-market while ensuring AI applications remain stable and reliable.

Lunary AI is a production-ready toolkit designed to help developers and enterprises build, monitor, and optimize LLM-powered applications, particularly AI chatbots. The platform provides deep observability into AI interactions, tracking key metrics such as costs, token usage, latency, and user behavior. It supports prompt versioning, collaboration, and A/B testing to continuously improve AI outputs. With features like agent tracing, conversation replay, feedback tracking, and PII redaction, Lunary ensures secure, compliant, and efficient AI deployments. The platform seamlessly integrates with leading AI frameworks such as LangChain, OpenAI, and Anthropic, and supports both self-hosting and cloud hosting options.

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.