Gradion to partner with 100 Days to advance the next era of EdgeAI

Ho Chi Minh City, October 2025: Gradion is exploring a strategic partnership with 100 DAYS, a specialized German technology company led by Mr. Gaylord Aulke.

The objective is clear: move AI from experimental cloud pilots to production-grade intelligence operating directly at the edge.

This initiative extends Gradion’s deep-tech roadmap into systems designed for real-world environments, where latency, control, and reliability are non-negotiable.

Cloud AI creates latency and operational exposure

Most AI systems still depend on centralized cloud infrastructure.

In time-critical environments, that distance creates latency, availability constraints, and operational exposure.

Production lines require instant defect detection.
Smart city infrastructure must react before congestion escalates.
Defense and public safety teams cannot risk sensitive data leaving controlled environments.
Robotics systems must remain stable even when connectivity drops.

When intelligence sits far from the event, response slows.
When response slows, risk increases.

For critical operations, this model is no longer sufficient.

Intelligence must operate where events occur

EdgeAI runs models directly on devices: cameras, sensors, machines, where data is generated.

This is where embodied AI becomes operational: systems that perceive, decide, and act in real time, without relying on constant cloud connectivity.

The impact is structural:

• Reduced latency
• Greater availability
• Improved data control
• More resilient decision loops

Early deployments demonstrate tangible performance improvements:

• Manufacturers using real-time vision systems reduce scrap and downtime, improving yield.
• Smart mobility pilots achieve sub-10ms reaction times, enabling faster traffic adjustments and incident response.
• Defense and law enforcement teams limit exposure by keeping sensitive data on-device.
• Autonomous robotics increases reliability through local control loops independent of network conditions.

This marks a transition from centralized AI architectures to distributed, edge-based intelligent systems built for production.

The collaboration: Making applied EdgeAI scalable

100 DAYS, founded by Mr. Gaylord Aulke, has built and deployed applied EdgeAI systems in operational environments.

Gradion contributes engineering depth and multi-region delivery capacity to scale these systems across industries.

The planned Joint Venture will focus on sectors where real-time, secure, on-device intelligence delivers measurable operational advantage:

• Industrial & Production
• Smart Cities and Mobility
• Military & Defense
• Law Enforcement

The shared direction is disciplined and execution-focused: enable organizations to shift from cloud-dependent intelligence to systems that think and act directly at the edge.

Faster reaction.
Stronger control.
Higher reliability.

This collaboration advances the next generation of intelligent infrastructure, built closer to operations, governed for production, and aligned with the speed modern industries require.