Stratox AI
From Ideas to Production
Fast, Safe, Scalable

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Introduction

At Stratox, we help companies turn AI ideas into real, working products. Safely. Quickly. At scale.

Our work is inspired by the Cloud Native AI principles from CNCF. Just like NVIDIA’s AI microservices and agents, we design AI systems that are built from small, secure, and reusable parts. This lets businesses adopt AI without the chaos.

What We Do

To safely integrate AI into production, we follow a proven, repeatable process:
Data
Orchestration

We help you connect, manage, and process the right data—across systems, clouds, and environments.

Curation & Preparation

Your data is cleaned, secured, and governed to ensure quality and compliance from the start.

Development & Training

We support you in building, optimizing, and testing AI models that meet your business needs.

Deployment into Production

Models are packaged as microservices and deployed through automated pipelines into secure, scalable infrastructure.

Monitoring & Iteration

We provide full observability, so you can track model performance, detect drift, and release updates with confidence.

Why Companies Choose Stratox AI

We work with mid-sized companies who build their own software. Their leaders—VPs of Engineering, CTOs, and Heads of Platform—come to us because they want to:

  • Get AI into production safely and quickly.
  • Avoid rewriting their whole system just to add AI.
  • Scale without getting locked into one cloud provider.
  •  Use proven cloud-native practices for their AI projects.

In our AI Roundtables, AI Advisory, and client projects, we focus on these key topics:

Secure AI Deployment

AI must run safely, under full control, with versioning and compliance (GDPR, etc.).

Hybrid & Cloud-Native AI

Smooth deployment on-prem or in any cloud, no vendor lock-in.

Microservices for AI

Add AI step-by-step, without rewriting your whole app.

Continuous Delivery (CI/CD)

Fast MVPs, quick feedback, and rapid improvements.

From Idea to Production

How to safely and quickly turn AI concepts into real products

AI Agents in Business

How to use AI agents to create real value.

Embedded AI Models

Using AI to unlock smarter business models.

Production-First AI

One real model in production beats 10 experiments in the lab.

NVIDIA-Style Microservices

Following the latest best practices from leaders like NVIDIA.