Why OpenBricks over others?

March 2026 · 5 min read

The problem with today's AI platforms

Most AI platforms lock you into a single model provider, route your data through US-based infrastructure, and leave you with zero visibility into where your data lives. For European organisations — especially those in regulated industries — this isn't just inconvenient. It's a compliance risk.

If you're a bank, a hospital, a government agency, or any organisation handling sensitive data, you need to know exactly where your data is processed, who has access, and under which jurisdiction it falls. The answer from most AI vendors is vague at best.

EU-first infrastructure

OpenBricks runs entirely on EU cloud providers — OVHCloud. Your data never leaves EU borders. It's not routed through US hyperscalers, not subject to the CLOUD Act, and not stored in data centres you can't audit.

This isn't a configuration option or a premium tier. It's the default. Every OpenBricks deployment is sovereign by design, not by add-on.

Model agnostic, not model locked

Other platforms tie you to a single model vendor. OpenBricks doesn't. Choose from open-source EU-hosted models, Mistral, Anthropic, OpenAI, and more — all grouped by hosting region so you always know where inference happens.

Switch models without rewriting your workflows. Compare outputs across providers. Run sensitive workloads on EU-hosted open-source models and less sensitive tasks on commercial APIs. You decide.

Built for organisations, not just developers

Most AI tools are built for individual developers. OpenBricks is built for organisations. That means role-based access, project-level isolation, usage analytics, and governance controls out of the box.

Business users get a simple interface to deploy AI assistants and workflows. Technical teams get the APIs, model access, and infrastructure controls they need. Both work on the same platform, with full visibility for leadership.

The all-in-one stack

Instead of stitching together five different tools — one for model hosting, one for RAG, one for prompt management, one for monitoring, one for compliance — OpenBricks gives you the complete stack in one platform:

Models — access any model, hosted in the EU or via commercial APIs, with a single interface.

Knowledge — connect your internal documents, databases, and APIs for retrieval-augmented generation.

Assistants — build and deploy AI assistants that your teams can use without writing code.

Governance — monitor usage, enforce policies, and maintain audit trails for compliance.

Who is OpenBricks for?

OpenBricks is for any organisation that wants to adopt AI seriously — not as a toy, but as infrastructure. If you care about data sovereignty, vendor independence, and having a single platform your entire organisation can use, OpenBricks is built for you.

Your journey of Sovereign AI starts here.

OpenBricks vs Langdock

Langdock is an AI assistant platform popular among European teams — yet under the hood its infrastructure story is decidedly American. It leans exclusively on US-hosted model providers (OpenAI, Anthropic) running on Microsoft Azure EU region.

OpenBricks

Langdock

Cloud Infrastructure

✓OVHcloud — European cloud provider, EU data centres

✗Microsoft Azure — hosted in EU but American provider

Data Residency

✓100 % EU — data never leaves European jurisdiction

✗US provider like Microsoft Azure, hard to trust

Open-Source Models

✓Full support — run Mistral, QWEN, GLM on EU infra with no third-party data sharing

✗Mostly US LLm Models like OpenAI & Anthropic, Gemini running on American Cloud providers

GDPR Compliance posture

✓EU-first architecture; GDPR compliance by design, not by SCC workaround

✗Relies on Standard Contractual Clauses with US processors — higher regulatory risk

Bottom line: If your organisation operates in the EU and needs meaningful data sovereignty — not just a DPA checkbox — Langdock's US dependent infrastructure creates structural compliance risk. OpenBricks gives you almost similar frontier-model capability on European cloud, with open-source fallback options that never touch US systems at all.

OpenBricks vs Mistral Le Chat

Mistral AI produces some of the best European-built language models, and OpenBricks is proud to offer Mistral 3 and Mistral Large 2 as first-class options. But Mistral's own consumer product — Le Chat — is fundamentally a single-vendor showcase, not an enterprise AI platform. If your team's output quality is bounded by whichever Mistral model is current, that's a hard ceiling.

OpenBricks

Mistral Le Chat

Model Selection

✓10 + models across 4 providers — GPT-4o, Claude Sonnet, Gemini, Mistral 3, and EU-hosted open-source models

✗Mistral models only — no access to GPT, Claude, or other frontier models

Performance ceiling

✓Always route to the best model for each task — coding, reasoning, summarisation, multilingual

✗Bounded by Mistral's current model generation; no fallback when another model outperforms

Enterprise Admin Controls

✓SSO, RBAC, usage analytics, department-level governance, audit logs

✗Consumer-oriented; limited enterprise provisioning and admin tooling

AI Agents

✓No-code agent builder — automate reports, triage, and workflows across systems

✗No dedicated autonomous agent platform

MCP Integrations

✓100 + integrations — Slack, GitHub, Salesforce, Notion, and custom MCP servers

✗Minimal third-party integrations; no MCP ecosystem

White-label & Branding

✓Full custom branding — deploy as your own named product (e.g. "Acme AI")

✗Mistral-branded only; no white-label options

Security Guardrails

✓Policy-level data access controls — define exactly what each agent and user can query

✗No granular data access policy engine

Bottom line: We genuinely admire Mistral's models — they're among the best EU-built LLMs available, and OpenBricks makes them a first-class choice. But Le Chat is optimised to showcase Mistral's models, not useful to run your organisation's AI adoption at scale.