BRICQS CLI

BRICQS CLI is part of BRICQS, an AI-native platform for running AI applications on dedicated infrastructure per organization. It presents itself as an AI cloud with five AI runtimes, managed Postgres, a real edge network, and zero-credential identity, with nothing shared across tenants.

The platform includes five execution models: LLM, GPU, Agent, RAG, and Workflow. Its infrastructure features include managed Postgres, blob storage, a vault for secrets, and an edge network with WAF, bot scoring, geo-IP handling, and CDN in the traffic path. BRICQS also describes GPU deployments for LLaMA, Mistral, and Whisper on dedicated T4 containers, with three environments, and it shows an API-based deployment flow for provisioning a GPU runtime, a managed Postgres database, and an agent run.

BRICQS emphasizes isolated org-level resources from signup to production. Creating a project provides a dedicated vault, storage bucket, Postgres database, and deployment namespace, and deployments route through the BRICQS edge with no stored keys. The platform also lists zero-credential identity, managed identity tokens, no stored passwords, Redis keyless auth, and monitoring through Azure Monitor metrics for CPU, GPU, memory, requests, and latency. It describes the system as real infrastructure rather than emulated or proxy services, and says the components are purpose-built and interconnected.

Pricing is shown on a simple tiered page. The free plan costs $0 per month and is for builders and prototypes, with 2 GPU deployments, 200 runtime calls per day, dedicated storage and vault, the edge network plus WAF, and community support. Pro costs $49 per month for growing AI teams and includes 10 GPU deployments, 5,000 runtime calls per day, priority support, full edge analytics, and dedicated 100 GB storage. An Enterprise plan is custom, with custom GPU and call limits, dedicated infrastructure, edge network SLA, SSO availability, and a direct support channel. The page also says no card is required on the free tier and that users can cancel anytime.