About BRICQS

One platform. Five runtimes.
Nothing shared.

BRICQS is an AI Runtime + Agent Operating Cloud. It gives every AI team — from a solo founder to a 200-person engineering org — the same quality of infrastructure that hyperscalers build internally: dedicated compute, managed databases, a real edge network, and identity without stored credentials.

5
AI runtimes
3
Deploy environments
259k
Geo-IP ranges
0
Shared tenants
The five runtimes

Every AI execution model in one platform

Not a wrapper around someone else's API. Each runtime is a real provisioned resource — an isolated container, pipeline, or server — owned by your org.

LLM API Gateway

One OpenAI-compatible endpoint for OpenAI, Anthropic, and Google Gemini. Provider keys stored in your org vault — never in the database.

GPU Container Runtime

Deploy LLaMA 3, Mistral, Phi-3, Qwen 2, and Whisper to dedicated T4 GPU containers. Three environments — development, preview, production — with zero-downtime promote.

Agent Engine

A tool-using reasoning loop that can call APIs, run calculations, and combine multi-step actions into a single trace. Up to 6 reasoning steps with full output.

RAG Pipeline

Upload PDF, DOCX, or TXT files. BRICQS chunks, embeds, and stores vectors. Query returns grounded answers from your own documents, not hallucinated answers.

Workflow Orchestration

Multi-step AI pipelines where each step can invoke any other runtime — LLM, GPU model, agent, or RAG. Template variable passing between steps.

See all runtimes in detail →
Infrastructure

The platform underneath the runtimes

Every project on BRICQS gets a dedicated set of resources. None of this is shared with another org.

Managed Postgres

A real dedicated Postgres 16 server per org. Table editor, SQL editor with saved queries, GitHub migration auto-apply, realtime events via LISTEN/NOTIFY.

Blob Storage + Secrets Vault

Dedicated storage bucket and secrets vault per org. SAS tokens scoped to that org only. Provider API keys encrypted in vault — never in environment variables or logs.

Edge Network + WAF

9 OWASP WAF rule categories, 6-signal bot scoring, and 259,824 geo-IP ranges from all five Regional Internet Registries. In the traffic path for every request, always on.

Zero-Credential Identity

System-assigned managed identity on every container. Redis runs in keyless mode. Short-lived tokens with 40-minute TTL auto-refreshed — no manual rotation.

Azure Monitor Metrics

Real CPU%, memory%, GPU utilization%, request count, and response time pulled directly from Azure Monitor. No instrumentation required — metrics appear for every running deployment.

Governance + Audit

Approval-gate workflow for deployments, audit log for every platform action, role-based access, and budget enforcement for GPU spend.

See infrastructure details →
Why we built it

Built because the AI infra problem wasn't solved

Most AI platforms give you a thin API over shared, multi-tenant infrastructure. You don't own the database — you get a connection string to a partition. You don't have a dedicated edge — you share a WAF policy with thousands of other tenants. Your provider API keys sit in a shared secrets store.

BRICQS was built from the opposite direction: start with dedicated infrastructure per org, then build the AI platform on top. A real dedicated Postgres server. Real isolated GPU containers. A secrets vault where only your org's keys exist. Edge routing that belongs to your domain only.

The bet is that AI teams — especially teams building for enterprise customers — will pay a premium for isolation that is structural, not just documented. Not "we promise we don't look at your data" — but "your data is in a Postgres server that only your org can reach."

How we build

Four principles that don't bend

01
Dedicated resources, not shared tenants

When we say "managed Postgres", we mean a real dedicated Postgres server — not a connection pool in front of someone else's cluster. GPU containers, storage buckets, secrets vaults, and edge slots are never shared between organizations. Isolation is a hard boundary, not a policy statement.

02
Honest about what exists

We don't list a feature until it ships. Our status page shows real incident history. Our metrics come from Azure Monitor, not fabricated counters. If something is not yet instrumented, the UI says so explicitly rather than showing a number we made up.

03
Security is infrastructure, not an add-on

Zero-credential identity, managed tokens, WAF, and bot-filtering are in the traffic path for every request by default. No toggle to enable. No tier required. They exist because a platform that makes it easy to ship AI must make it hard to get breached.

04
The platform surface should be thin

Developers should spend time on their AI application layer, not fighting shared-tenant rate limits, opaque billing, or insecure credential management. Every BRICQS primitive is accessible in under five minutes from signup — that ceiling is a product requirement.

Get in touch

Questions about the platform, enterprise pricing, security reviews, or partnerships — reach us directly.

hello@bricqsai.comView pricing →
For security issues: security@bricqsai.com · For careers: careers@bricqsai.com