Supported Models
Data residency blocks AI adoption.
Most AI platforms assume your data can be processed anywhere. For regulated organizations, that's a non-starter.
Common blockers we hear:
Regulation requires data to stay in-country — no compliant AI platform exists.
Building GPU + inference + security internally takes months and specialist hiring.
Each delayed quarter means missed automation, slower service, and higher cost.
“You shouldn't have to trade speed for sovereignty.
Sovereign AI, delivered as a platform.
One API to run, govern, and scale LLM inference inside your jurisdiction — without rebuilding cloud infrastructure from scratch.
Run
leading open models for chat, generation, and embeddings — on infrastructure that matches your residency requirements.
Integrate
with OpenAI-compatible endpoints and SDKs — your developers keep their existing workflows.
Deploy
in a sovereign cloud, dedicated environment, or on-prem — based on sensitivity and constraints.
Govern
with auditability, access controls, and clear operating boundaries from day one.
A Sovereign AI Cloud — End to End
Infrastructure, deployment options, and governance built around regulated environments.
Sovereignty by Design
Data stays where it's required to stay.
- In-region inference — no cross-border processing.
- Aligned with CNDP, DGSSI, and enterprise compliance.
- TLS 1.3 in transit, AES-256 at rest.
Managed Inference Platform
Multi-model inference behind one API.
- Route to LLaMA, Mistral, DeepSeek, and more — one endpoint.
- Chat, completions, embeddings — OpenAI-compatible.
- Batching, caching, and auto-scaling built in.
Deploy Your Way
Four deployment modes to fit your constraints, not the other way around.
Sovereign Cloud (Morocco-hosted)
Managed service on local infrastructure. Operational in days.
Dedicated (Private Environment)
Dedicated compute in your datacenter. Full network and data isolation.
On-Prem (Controlled / Air-Gapped)
Runs in your facilities with no external connectivity required.
Hybrid (Route by Sensitivity)
Combine sovereign cloud and on-prem. Route workloads by data classification.
Enterprise Security & Governance
Security designed for enterprise reviews.
- RBAC with SSO: LDAP/AD, SAML 2.0, OIDC.
- Full audit trail — every API call traced.
- AI guardrails: content filtering, PII masking, policy enforcement.
One Platform, Every AI Workload
Run sovereign inference across text, documents, code, and structured data — all from a single API.
Conversational AI
Deploy chat and assistant experiences in Arabic, French, and Darija — with data that never leaves your jurisdiction.
Document Analysis
Summarize, extract entities, and answer questions across long-form documents with stable latency and predictable cost.
Code Generation
Use models trained on your private codebase for generation, refactoring, and search — without exposing source code externally.
Structured Extraction
Pull structured fields from invoices, contracts, and forms using models fine-tuned on your data schemas.
Classification
Classify support tickets, emails, or regulatory documents with sub-100ms latency and higher accuracy than generic models.
Semantic Search
Generate embeddings and rerank results with sovereign embedding models — improving recall without external API calls.
Integrate in Minutes
Point your OpenAI SDK at MoorAI — keep your data residency and security constraints intact.
from openai import OpenAI
client = OpenAI(
base_url="https://api.moor.ai/v1",
api_key="your-api-key"
)
response = client.chat.completions.create(
model="moorai/atlas-8b",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)- Designed for CNDP (Law 09‑08) Environments
- GDPR-Aligned Practices
- SOC 2-Aligned Controls
- TLS in Transit · Encryption at Rest
A Complete Sovereign AI Cloud
Beyond inference — everything your team needs to deploy, fine-tune, and scale AI in a controlled environment.
Managed Inference
Predictable throughput and latency on open models. OpenAI-compatible endpoints with sovereign data residency.
Embeddings API
Generate vector representations for search, clustering, and recommendations — all processed in-region.
Fine-Tuning
Coming SoonAdapt models to your domain, language, or industry — Arabic, French, Darija, or custom terminology.
RAG Pipeline
Coming SoonConnect your internal knowledge bases and documents. Retrieve and generate answers grounded in your data.
How It Works
From zero to sovereign inference in 4–8 weeks.
Scoping & Discovery
- •Pick one high-value use case with your team.
- •Review architecture and choose a deployment mode.
- •Align on data, security, and compliance requirements.
Infrastructure Setup
- •Provision sovereign LLM infrastructure.
- •API endpoints live and accessible.
- •Configure access controls and security policies.
Integration & Validation
- •Connect to your existing systems (CRM, ERP, internal tools).
- •Test on real data with your team.
- •Fine-tune the model if needed (domain, language).
Production & Scale
- •Go live with a clear SLA.
- •Continuous monitoring, optimization, and support.
- •Expand to more use cases, teams, or regions.
Built for Your Team
Whether you're technical, operational, or compliance-focused — MoorAI fits your workflow.
CTO / CIO
A managed AI platform that meets residency and security requirements — without a multi-year build.
Business & Product
Access AI models via API to ship features faster — document processing, chat, search, and more.
CISO / Compliance
Sovereignty by design, audit trail, access controls, and clear jurisdictional boundaries.
Start with a Pilot. Scale with Confidence.
Choose the smallest path to production value — then expand.
Pilot
Validate one use case
4–6 weeks
- MoorAI Sovereign Cloud + initial setup
- 1 LLM model deployed (operational API)
- Basic integration with your systems
- Monitoring and usage dashboard
- Standard support