BRICQS CLI is part of the BRICQS AI-native platform, which provides dedicated cloud infrastructure for deploying and operating AI applications. The platform is designed to provision dedicated resources for each organization, avoiding shared tenants and ensuring isolation. It supports five AI runtimes, including LLM API gateway, GPU container runtime, agent engine, RAG pipeline, and workflow orchestration, enabling a range of AI execution models within a single, interconnected environment.
The platform offers managed Postgres databases, blob storage, a secrets vault, and a global edge network with web application firewall (WAF) and bot filtering. Users can deploy models such as LLaMA, Mistral, and Whisper on dedicated GPU containers, with support for three deployment environments. Security features include zero-credential identity management, managed identity tokens, and Redis keyless authentication. Monitoring is integrated through Azure Monitor metrics, providing visibility into resource usage and performance.
BRICQS is aimed at teams and developers building AI applications that require dedicated infrastructure and robust security. The deployment process involves creating a project, selecting a runtime, and routing deployments through the BRICQS edge network, all without shared resources or stored credentials. The platform emphasizes real, provisioned resources rather than emulated or proxy services.
Pricing is structured in three tiers: a free plan for builders and prototypes, which includes two GPU deployments and 200 runtime calls per day with dedicated storage and community support; a Pro plan at $49 per month for growing teams, offering increased GPU deployments, more runtime calls, priority support, and advanced analytics; and a custom Enterprise plan for large-scale needs, with options for custom infrastructure, service level agreements, and direct support. No credit card is required for the free tier, and all plans provide dedicated infrastructure from the outset.
BRICQS CLI sits in PulseGate's Data science & ML workbench category. It simplifies and accelerates the deployment of AI models to cloud infrastructure for developers. BRICQS CLI is an open-source project aimed at machine learning engineers. The project is open source (MIT). BRICQS CLI is available on the web and the command line, and it can be self-hosted.
It is developed by bricqs, and the product first shipped in 2026. Across PulseGate's embedding index, BRICQS CLI has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are cloud deployment, model management, and CLI interface.
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