Unlike rigid grid management systems, Akira AI agents continuously adapt to variability in renewables, demand surges, and grid faults. They don’t just monitor—they predict, decide, and act
Predict peak consumption patterns using weather, mobility, and industrial activity data
Stabilize fluctuations from solar, wind, and hydro sources by dynamically shifting loads or activating reserves
Maximize the efficiency of batteries and pumped hydro systems to ensure backup power is available when needed most
Monitor voltage, frequency, and equipment stress to prevent cascading failures and blackouts
With Akira AI, human operators gain a fleet of digital co-pilots that simulate scenarios, validate corrective actions, and propose adaptive responses—making grid management smarter, faster, and safer
Traditional grid management reacts to instability. Akira AI shifts the paradigm—enabling continuous balance across supply, demand, and distributed resources
Agents autonomously reroute power, shed non-critical loads, and activate reserves in seconds
Agents simulate outages, cyberattacks, or renewable drop-offs, providing operators with mitigation playbooks
Agents evolve from every instability event, refining forecasts and improving grid response strategies
Akira AI doesn’t rely on one control center—it coordinates a network of agents, each managing a layer of stability. Together, they deliver resilient, renewable-ready energy intelligence
Agents capture consumer, industrial, and seasonal usage signals to anticipate spikes
Agents integrate renewable variability with conventional generation to smooth fluctuations
Agents orchestrate when to charge, discharge, or reserve capacity for optimal reliability
Agents track system stress and issue preventive alerts before faults cascade
Agents align dispatch and demand response with real-time market prices, maximizing cost efficiency
Akira AI agents transform the grid from fragile to future-ready—delivering stability, sustainability, and efficiency for energy operators worldwide
Keep the grid stable during demand surges and renewable fluctuations
Act instantly: Balance loads with autonomous corrective actions
Build resilience: Prevent outages with predictive monitoring
Expand renewable adoption without risking instability
Go green: Smooth renewable supply variability
Cut emissions: Reduce reliance on peaker plants
Maximize economic efficiency while securing supply
Spend smarter: Prioritize cost-effective balancing actions
Lower waste: Avoid overgeneration and inefficiencies
Evolve grid strategies with continuous learning
Learn from events: Improve future mitigation based on past instabilities
Adapt faster: Redefine agent recommendations with real-world outcomes
Keep the grid stable during demand surges and renewable fluctuations
Expand renewable adoption without risking instability
Maximize economic efficiency while securing supply
Evolve grid strategies with continuous learning