AI is not just a project.
Most companies go through three stages of AI adoption.
Start with AI
| Generative AI tools |
| Enterprise AI licenses |
| First AI assistants |
| First automations |
| First RAG applications |
| First AI pilots |
AI is a tool:
Human + AI
AI in operations
| Governance |
| Workflows |
| Roles and responsibilities |
| Security |
| Audit and compliance |
| Measuring value and ROI |
AI becomes part of a managed operation:
Human + Managed process + AI
Embedded AI
| AI in Products & Business |
| AI Uses Company Data |
| AI Connects Information |
| AI Enables Real-Time Decisions |
| AI Orchestrates Processes |
| AI Reinvents Business |
AI changes how the company operates::
Business + AI
Secure. Fast. At scale.
Our approach is based on Cloud Native AI principles (CNCF). Inspired by NVIDIA’s AI microservices and agents, we build AI systems from small, secure, and reusable components. This allows companies to adopt AI without creating 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 application performance from one place
Why Companies Choose Stratox AI
We work with mid-sized companies who build their own software. Their leaders—Heads of Products, CXOs, 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 also for their AI projects.
Let's talk!
Ready to turn your idea into reality?
