Help AI data centers unlock more compute and become more efficient
DeepAware builds an AI-driven automation system for GPU-intensive data centers. Our reinforcement-learning scheduler, real-time market integration, and unified dashboard slice energy waste by up to 30%. Coming soon: autonomous “robot-hand” inspections and maintenance to enable 24/7 operations with minimal staff.
More info: https://deepawareai.com/
Jobs/Internship: https://www.deepawareai.com/careers
Active Founders
Jerry Huang
Founder
Founder of DeepAware AI (S25)
Jerry Huang
Founder
Founder of DeepAware AI (S25)
Stela Tong
Founder
Building DeepAware AI
Stela Tong
Founder
Building DeepAware AI
Company Launches
DeepAware - Automation for next-gen AI data centers
DeepAware AI brings Google- and Amazon-level technology to any data center, making them more secure, efficient, and autonomous.
Our reinforcement learning scheduler, real-time market integration, and robotics cut energy waste by up to 30% while ensuring 24/7 uptime.
Problem
With AI workloads surging, the data center industry is booming—global capacity is expanding rapidly, and the market is projected to hit $1 trillion by 2030
Data centers waste 20–30% of energy due to siloed tooling and manual controls.
Hyperscalers like Google and Amazon solve this with custom AI, but mid-market operators lack access to those technologies.
Solution
DeepAware brings Google- and Amazon-grade AI controls to any data center:
RL Scheduler optimizes GPU workload placement for power, performance, and cost.
Real-Time Market Integration shifts workloads to low-price windows and supports demand-response programs.
Unified Dashboard for one-click policy tuning, automated alerts, and “what-if” scenario testing.
Autonomous Robotics (coming soon) for remote “robot hand” inspections, cable swaps, and maintenance—enabling 24/7 physical operations with minimal on-site staff.
Our Team:
We are both second-time founders. We spent 3 years together building our first company providing second-level energy optimization for dozens of factory.
Traction:
6-digit agreement with a major 30 MW+ data center operator to use our system.
Simulation results show 15% energy savings.
Industry validated through Green AI Summits at Harvard with industry leaders from Oracle and Meta AI.
Ask:
We’re looking for:
Data center operators (and people in the AI infra sector) interested in piloting AI-driven optimization.
AI/ML researchers tackling real-world control problems.