
EcomOne
Enterprise-Grade Sovereign AI That Stays Under Your Control

About EcomOne
EcomOne, operating as PRAXIS LABS, is a veteran-owned research and engineering lab dedicated to advancing sovereign AI technology. We specialize in developing custom AI solutions that run entirely on local hardware, ensuring complete data privacy and eliminating cloud dependency. Our mission is to empower organizations in privacy-critical sectors—including law enforcement, healthcare, and government—with enterprise-grade artificial intelligence capabilities while maintaining absolute control over their data and infrastructure.
From concept to deployment, every technology we deliver remains on hardware you own and control. We combine cutting-edge AI research with rigorous engineering practices to deliver custom models, advanced simulations, and comprehensive cybersecurity analysis tailored to your organization’s unique needs. Our sovereign approach ensures that sensitive data never leaves your premises, providing the security and compliance assurance that mission-critical operations demand.
Our Solutions
Custom Sovereign AI Models
Develop and deploy custom AI models that run entirely on your local hardware. Our expert team designs machine learning solutions tailored to your specific use cases, from predictive analytics to intelligent automation, all while maintaining complete data privacy and ownership.
Advanced Simulations & Analysis
Leverage sophisticated simulation environments and advanced analytical capabilities to model complex scenarios, test strategies, and gain actionable insights. Our simulations support decision-making in high-stakes environments without relying on external cloud infrastructure.

Cybersecurity & Threat Analysis
Protect your organization with comprehensive cybersecurity analysis and threat intelligence powered by sovereign AI. We identify vulnerabilities, analyze attack patterns, and provide security recommendations—all processed locally to ensure your threat data remains confidential and under your control.