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.