StratosOne™ Platform

The Enterprise AI
Full-Stack Platform.

StratosOne is not a SaaS tool or a managed API. It is a private, engineered AI environment — deployed inside your infrastructure, operated by our team, designed for regulated enterprise production from day one.

StratosOne
Built by Oreico — Powered by Azure Stack HUB
Unlike standard public APIs or shared SaaS models, StratosOne provides a premium, engineered pathway to production-ready AI — private, compliant, and fully managed.
Platform Capabilities

Everything enterprise AI
actually requires.

Private LLM Deployment
Your Models. Your Environment.
Deploy private instances of leading LLMs — including GPT-4 class models — inside your infrastructure. Data never leaves your environment. Full model control, zero shared compute.
GPU Compute Infrastructure
On-Demand Enterprise GPU
GPU compute provisioned and managed by our team. Scale AI workloads without managing hardware. Deterministic performance, predictable cost — no cloud spot market volatility.
Hybrid Cloud Architecture
Bridge On-Prem to Cloud Scale
Azure Stack HUB enables true hybrid deployments. Sensitive workloads stay on-prem. Scale-out workloads leverage cloud. One architecture, one management layer, full control.
Containerized AI Models
Flexibility & Portability
All AI models run containerized — Kubernetes-orchestrated for resilience, portability, and operational flexibility. Swap, update, or scale models without re-engineering the stack.
Secure VPN Access
Enterprise-Grade Connectivity
Dedicated Managed Connectivity to StratosOne environments — leveraging the same network infrastructure that connects 40+ financial institutions across Mexico.
Managed Operations
We Run It. You Use It.
24/7 monitoring, updates, patching, compliance reporting, and incident response — all managed by our certified engineers. You get enterprise AI. We handle the complexity.
How StratosOne Compares

Not a SaaS. Not a
public API. Something better.

Capability Public Cloud AI (Azure OpenAI, etc.) Typical Managed Service StratosOne™
Data residency controlPartialVariesFull — private deployment
Compliance-ready from day oneRequires configurationShared responsibilityEngineered in by default
Private LLM instancesShared infrastructureLimitedFull private deployment
Owned network connectivityInternet / public endpointsThird-party dependentIPC Network + VPN/MPLS
Full engineering ownershipSelf-managedSplit responsibilitySingle team, end to end
Hyperscaler independenceFully dependentPartially dependentSovereign infrastructure
Deployment Model

From first conversation
to running system.

01
Architecture Discovery Session
We map your environment — existing systems, data flows, compliance requirements, and AI objectives. Output: a documented architecture blueprint specific to your organization.
02
Proof of Architecture (PoA)
A controlled deployment of StratosOne in your environment — scoped, time-bound, and designed to validate performance and compliance before any production commitment.
03
Full Solution Design
Based on PoA learnings, we design the complete production architecture — compute, networking, security, model configuration, integration points, and operational runbooks.
04
Production Deployment & Handover
Our engineering team deploys, validates, and hands over a running system — with monitoring dashboards, escalation procedures, and SLAs documented and active from day one.
05
Managed Operations
Ongoing: 24/7 monitoring, model updates, compliance reporting, incident response, and capacity management. We stay involved so you stay confident.
Ready to See It

Schedule a private architecture session
with our engineering team.

No sales deck. A real technical conversation about your environment, your constraints, and what production AI actually looks like for your organization.

Schedule a Session View All Services →