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Exergi Predictive
Exergi Predictive advances energy management for robotic combat vehicles.

Exergi Predictive was founded in 2019 by a team of experts in vehicle engineering, data science, and software development. Headquartered in Minneapolis-St. Paul, the company has quickly established itself as a leader in energy prediction, earning multiple SBIR awards from the Department of Energy, ARPA-E, and the Department of Defense.

Energy logistics present one of the greatest vulnerabilities in modern warfare, making Exergi’s mission clear: equip the military with AI-driven tools to maximize energy visibility, reduce logistical vulnerabilities, and extend operational reach in fuel-constrained environments. Long-term, Exergi aims to refine EPICC into a universal energy management solution for both military and civilian ground vehicles.

Technology

  • Energy Prediction for Intelligent Command and Control (EPICC) – an AI-powered system that optimizes energy use for military vehicles and microgrids.
  • Predicts and manages energy demands in real time.
  • Capable of delivering precise energy predictions for off-road environments – unmatched by existing solutions, which are limited to on-road scenarios.
  • By analyzing route data, weather conditions, and surface terrain, EPICC generates highly accurate mission energy profiles.
  • Generated predictions enable microgrids to anticipate charging needs, allocate resources efficiently, and leverage vehicle batteries for grid support when idle.

 Military Applications & Benefits

  • Enables reduced fuel consumption, fewer supply convoys, and more reliable energy for warfighters in the field.
  • By accurately forecasting fuel and power needs, the software optimizes microgrid performance so that units have the energy they need, when they need it, and without unnecessary waste.
  • Enhances operational readiness while also reducing the risks associated with fuel logistics in hostile environments.
  • Exergi’s prediction technology demonstrated a 20% reduction in fuel use for on-road vehicles and 95% prediction accuracy for off-road military applications across diverse terrains and powertrain types.
  • Aligns with the Army Climate Strategy’s goal of cutting operational energy use by 20% by 2027.
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