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DeepAware AI: AI-driven DCIM platform for GPU data centers, automating optimization of power, performance, cost, security, and energy efficiency.
Key people at DeepAware AI.
DeepAware AI was founded in 2025 by Stela Tong (Founder) and Jerry Huang (Founder).
Based in San Francisco, DeepAware AI develops an artificial intelligence-driven automation and infrastructure management platform designed to optimize power, performance, and cost for GPU-intensive data centers. The company utilizes reinforcement-learning schedulers and real-time market integration to reduce energy waste by up to 30 percent, and is developing autonomous robotics for continuous facility inspection. Operating with a small team of two employees, the enterprise has secured a six-digit agreement with a major 30-megawatt data center operator following initial simulations that demonstrated a 15 percent reduction in energy consumption. The startup is backed by Y Combinator as part of its Summer 2025 batch and participates in the NVIDIA Inception program, while also validating its core technology alongside industry leaders from Oracle and Meta AI. DeepAware AI was founded in 2025 by Jerry Huang and Stela Tong.
DeepAware AI was founded in 2025 by Stela Tong (Founder) and Jerry Huang (Founder).
Key people at DeepAware AI.
DeepAware AI is a cutting-edge technology company focused on making AI data centers more secure, efficient, and autonomous by leveraging advanced AI and robotics. Their flagship product is a Data Center Infrastructure Management (DCIM) platform that integrates AI-powered security and stability monitoring, reinforcement learning for workload scheduling, real-time energy market integration, and autonomous robotics for physical operations. This platform helps data center operators reduce downtime risks, defend against cyber and operational threats, and cut energy waste by up to 30%, supporting sustainable growth in AI workloads. DeepAware AI serves large-scale data center operators, including hyperscalers and enterprise facilities, enabling them to unlock more compute capacity while improving operational resilience and sustainability. The company is gaining momentum through pilot deployments with major data centers and participation in Y Combinator’s Summer 2025 batch, which accelerates its growth and market reach[2][4][5].
DeepAware AI was founded by second-time entrepreneurs with prior experience in industrial energy optimization for global companies like Siemens and Sumitomo. The idea emerged from recognizing the complexity and cost barriers that prevent many data center operators from accessing hyperscaler-grade AI and robotics technology. The founders aimed to democratize access to these advanced controls to improve efficiency and security across the AI infrastructure ecosystem. Early traction includes successful pilot projects demonstrating significant energy savings and operational improvements in a 30 MW+ data center. Joining Y Combinator in 2025 marked a pivotal moment, providing access to a powerful network of mentors, investors, and partners to scale their technology globally[2][5].
DeepAware AI rides the accelerating trend of AI-driven automation and sustainability in data center operations. As AI workloads grow exponentially, data centers face increasing pressure to improve energy efficiency, security, and operational autonomy. The timing is critical because hyperscale operators like Google and Amazon have set high standards for AI infrastructure, but many operators lack access to such advanced technology. Market forces such as rising energy costs, regulatory pressure for sustainability, and the complexity of managing AI workloads favor solutions like DeepAware’s platform. By democratizing hyperscaler-grade AI controls and robotics, DeepAware influences the broader ecosystem by enabling more operators to scale AI infrastructure sustainably and securely, thus supporting the global AI economy’s growth[2][4][5].
Looking ahead, DeepAware AI is positioned to expand its footprint by scaling pilot deployments to more data centers worldwide, leveraging Y Combinator’s network and resources. Trends shaping their journey include increasing demand for energy-efficient AI infrastructure, advances in autonomous robotics, and tighter integration of AI with real-time energy markets. Their influence may evolve from a niche AI data center solution provider to a critical enabler of global AI infrastructure sustainability and security. Continued innovation in reinforcement learning and robotics automation will likely deepen their competitive edge, helping operators unlock more compute capacity while reducing operational risks and environmental impact. DeepAware AI’s mission to remove complexity and cost barriers aligns with the urgent need for scalable, sustainable AI infrastructure in the coming decade[2][4][5].