GridSeer addresses the evolving energy landscape, where decarbonization drives rapid integration of renewable energy sources, and extreme weather patterns demand a more reliable energy system. These conflicting pressures create unprecedented challenges for energy providers and users alike. That’s where we come in.
GridSeer is focused on commercializing advanced energy management solutions developed at Duke University’s GRACE Lab. GRACE is an AI software suite developed with $2.5 million in funding under ARAPA-E’s PERFORM program to improve forecasting of electric grid outcomes and assess operator risk. GridSeer's mission is to empower energy providers and users with smarter tools for optimizing energy system performance, reducing costs, and achieving efficiency goals.
Born from cutting-edge academic research, GridSeer bridges the gap between innovative energy science and real-world energy system operations. With rising grid complexity and increasing clean energy adoption, we provide the tools to anticipate volatility and optimize performance across your energy systems. Our Core Values include:
The key challenge we’re addressing with GridSeer is the difficulty of integrating distributed energy resources for optimized performance. These resources range from wind, solar and batteries in grid applications, to boilers, chillers, steam generators and thermal storage for campus heating and cooling applications and even EV network design for optimized charging and discharging of vehicle batteries. While crucial for a secure energy future, these resources are variable and unpredictable, making it hard for providers and users to optimally balance supply and demand. As energy demand grows, especially as energy assets move more and more to the edge of the grid, the need for smarter energy management tools becomes critical to avoid higher risks, costs, and reduced reliability.
GridSeer provides a software analytics platform that optimizes energy management systems to lower energy costs while enhancing system reliability, reducing risks, and managing load growth—especially in the face of increasingly uncertain asset performance, weather patterns and load demand, all of which are largely out of the direct control of the system operator.
GridSeer uses probabilistic forecasting and risk awareness to go beyond traditional energy system models. Instead of preparing for the "most likely" future scenario, our software evaluates all possibilities, enabling energy providers and users to make smarter, more cost-effective decisions for real-time energy resource deployment.
GridSeer isn’t just a forecasting tool—it’s a decision-making platform. Using machine learning tools, GridSeer analyzes historical and real-time data from energy meters, energy assets and weather patterns. GridSeer predicts load and demand fluctuations and recommends adjustments to optimize the energy system while also reducing reliance on costly backup power.
GridSeer improves reliability, reduces risk, and helps providers make smarter, and economical decisions. As we transition to cleaner energy, GridSeer will play a key role in integrating distributed energy assets more efficiently and sustainably into the grid and other energy systems.
Researches technological, policy, and market solutions to pursue environmental sustainability, affordability and reliability in the energy sector, considering path dependencies and uncertainty.
Expert in system optimization focused on the managing uncertainty in power system operations. Specializes in network data analysis to improve probabilistic forecasts and grid planning.
Expert in the application of human and machine learning to energy models, focusing on demand dynamics and optimizing unit commitment models.
Entrepreneur and Duke professor with expertise in launching technology ventures. Co-founded multiple companies acquired by industry leaders. Focuses on the transition of science to scalable product.
Research Associate, with experience in technology consulting and product marketing with a focus on early-stage technology environments.
Expert in intellectual property and tech partnerships. Senior lecturer at Duke Law, focusing on IP transactions and venture financing for startups.
Marketing veteran with 40+ years in PR and tech startups. Former Laird Thermal Systems Global Marketing Director. Leads entrepreneurial marketing education for masters students and corporate executives.
Join utilities, microgrids, commercial and industrial facilities operators and energy innovators who are turning uncertainty into opportunity with GridSeer. Let’s explore how our intelligent platform—and the people behind it—can support your energy system optimization.
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