AI-Driven
Data Center Power Optimization

A single AI strategy that enhances server efficiency, manages workloads, reduces cooling energy, and optimizes smart battery ESS on your existing infrastructure.

AI is pushing power & cooling to the edge.

High-density AI racks, volatile tariffs, and tightening carbon targets demand smarter control than static set-points.

AI rack density

2.1×

vs. traditional data centers

Power risk

Peaks

Tariffs & thermal limits

Regulation

ESG

RE100 · AI transparency

From siloed control → integrated AI control

Server Cooling ESS Today
Unified policy DC-XAI

One AI brain, three coordinated agents.

Server workload, cooling, and ESS share signals through a unified multi-agent RL framework with XAI dashboards.

Agent 01

Workload

Shifts flexible jobs to low-tariff, low-carbon windows.

Agent 02

Cooling

Adjusts set-points, airflow, and modes within safe thermal envelopes.

Agent 03

ESS

Optimizes charge/discharge for peak-shaving and DR events.

Visualize how each AI agent works.

Three production-focused agents — ready to run standalone or together.

Data center cooling optimization

Cooling Optimization Agent

RL tuning of CRAC/CRAH, chillers, and fans for safe temperature and lower PUE.

  • • Intelligent temperature & airflow control
  • • Fully autonomous operation
  • • Cooling energy reduction
Workload scheduling optimization

Workload Scheduling Agent

Shifts non-critical jobs to off-peak, low-carbon slots and balances racks.

  • • Avoids peaks and hotspots
  • • Better resource utilization
  • • Lower failure risk
ESS charge and discharge optimization

ESS Charge/Discharge Agent

Uses tariffs, carbon intensity, and load forecasts to drive ESS schedules.

  • • Smart peak-shaving & DR
  • • Battery lifetime–aware control
  • • Digital twin monitoring

Live simulation: RL + XAI in action.

Watch the controller react to workloads, temperatures, and tariffs — and explain its decisions.

Deep-tech team behind EDM GADGET.

7 members across RL, cooling & ESS, UX, and product — turning research into real deployments.

Founder Team (4)

Hyomin Kim

Founder & CEO

RL & XAI for data center control
Major: AI Convergence

Heekyung Kim

AI Lead

Multi-agent RL & system design
Major: Computer Science

Liu Jing

Product

Product & DC workflows
Major: Systems Engineering

Chaeyeon Lee

Engineering

Cooling & ESS integration
Major: Electrical Engineering

Engineering & Research (3)

Jihye Hwang

ML Engineer

RL pipelines & evaluation
Major: Software Engineering

Zhu Xiuyan

Energy Systems

Cooling/ESS modeling
Major: Energy Engineering

Gayoung Kim

Design · Biz Strategy

UX & customer insights
Major: Design / Business

Let’s talk pilots, PoCs, and co-development.

We’re looking for operators, vendors, and investors who want measurable power and carbon impact.

Book a meeting