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GRADION TO PARTNER WITH 100 DAYS TO ADVANCE THE NEXT ERA OF EDGEAI

Ho Chi Minh City, October 2025: Gradion announced that it is exploring a strategic partnership with 100 DAYS, a specialized German technology company led by Mr. Gaylord Aulke, to accelerate innovation in EdgeAI.

This initiative marks a significant step in Gradion’s deep-tech roadmap as the company expands its portfolio into intelligent systems that operate directly where data is generated at the edge.

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The Challenge: Cloud AI Is Too Distant for Today’s Critical Operations

Across many sectors, AI still depends heavily on the cloud. For complex or time-critical environments, this distance introduces latency, availability issues, and complexity that organizations often cannot afford.

Production lines need instant detection of defects, not delayed analytics.
Smart city systems rely on traffic signals that respond before congestion builds.
Defense and public safety teams must process sensitive data on-site to maintain control.
Robotics requires stable decision-making even when network connectivity is limited.

These scenarios highlight a common limitation: when intelligence sits far from where events happen, operations slow down and risk increases.

The Shift: Intelligence Moving to the Edge

EdgeAI addresses this gap by running AI models directly on devices such as cameras, sensors, and machines. This is also where embodied AI becomes essential, enabling intelligence that doesn’t just compute in the cloud, but perceives, interacts with, and responds to the physical world in real time.

By bringing decision-making closer to real-world events, organizations reduce reliance on cloud connectivity and unlock new levels of responsiveness and resilience.

Across early adopters, this shift has delivered expected optimizations in performance and reliability:

- Manufacturers using real-time vision systems have reduced scrap and downtime, achieving significant yield gains.
- Smart mobility pilots using on-device analytics have achieved sub-10ms reaction times, enabling faster traffic adjustments and incident response.
- Defense and law enforcement teams lower exposure by keeping sensitive data on-device.
- Autonomous robotics becomes more reliable because local control loops operate independently of network conditions.

These results point toward a broader transition: organizations are moving from centralized AI to intelligent systems that operate directly at the edge.

The Collaboration: Making Applied EdgeAI Scalable

100 DAYS, founded by Mr. Gaylord Aulke, has built and deployed applied EdgeAI systems. Gradion adds engineering depth and multi-region delivery capacity, enabling edge-based solutions to be rolled out at scale.

The Joint Venture will focus on industries where real-time, secure, on-device intelligence provides clear operational advantages:

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

The shared vision is straightforward: to help organizations move from cloud-dependent intelligence to systems that think and act directly at the edge, reacting faster, operating more securely, and delivering measurable gains in performance and reliability.

This collaboration represents a step toward the next generation of intelligent infrastructure, where decisions are made on-device, closer to real-world operations, and at the speed modern industries demand.

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